Tootfinder

The important role #OpenSSL plays in securing the Internet has never been matched by the financial resources devoted to maintaining it.
The open source #cryptographic #software library secures hundreds of thousands of Web s…

Tech giants, chastened by Heartbleed, finally agree to fund OpenSSL
IBM, Intel, Microsoft, Facebook, Google, and others pledge millions to open source.

Design of a Representation Information Repository for the Long-Term Usability of Digital Building Documents
Uwe M. Borghoff, Eberhard Pfeiffer, Peter R\"odig
https://arxiv.org/abs/2404.19337 https://arxiv.org/pdf/2404.19337
arXiv:2404.19337v1 Announce Type: new
Abstract: The long-term usability of digital building documents is essential for the maintenance and optimization of infrastructure portfolios. It supports the preservation of building-specific knowledge and the cultural heritage hidden within. However, having to do this throughout the lifecycle of a building - or even indefinitely - remains a major challenge. This is especially true for organizations responsible for large collections of digital building documents, such as public administrations or archives. In this article, we first describe the challenges and requirements associated with preservation tasks, and then introduce the concept of so-called representation information within BIM (Building Information Modeling). This type of information is important to give meaning to the stored bit sequences for a particular community. Then, we design a repository for representation information and introduce some so-called 23 BIMcore content elements. Finally, we focus on BIM and the construction sector and explain how the proposed repository can be used to implement the two concepts introduced in the ISO reference model OAIS (Open Archival Information System), namely the representation information and the context information, as well as the concept of significant properties, which has not yet been explicitly modeled in OAIS.

After 5 years I've updated the #InternetArchive book wishlist price catalog:
https://archive.org/details/open_libraries_wish_list_booksellers
Abe…

Open Libraries wish list with USA booksellers information : Free Download, Borrow, and Streaming : Internet Archive
From the wish list, 2019 version, 1 million ISBNs were searched among USA booksellers (via AbeBooks) to find additional information about availability and...

This https://arxiv.org/abs/2208.08690 has been replaced.
link: https://scholar.google.com/scholar?q=a

A Survey on Open Information Extraction from Rule-based Model to Large Language Model
Open information extraction is an important NLP task that targets extracting structured information from unstructured text without limitations on the relation type or the domain of the text. This survey paper covers open information extraction technologies from 2007 to 2022 with a focus on new models not covered by previous surveys. We propose a new categorization method from the source of information perspective to accommodate the development of recent OIE technologies. In addition, we summari…

QOSST: A Highly-Modular Open Source Platform for Experimental Continuous-Variable Quantum Key Distribution
Yoann Pi\'etri, Matteo Schiavon, Valentina Marulanda Acosta, Baptiste Gouraud, Luis Trigo Vidarte, Phillipe Grangier, Amine Rhouni, Eleni Diamanti
https://arxiv.org/abs/2404.18637…

QOSST: A Highly-Modular Open Source Platform for Experimental Continuous-Variable Quantum Key Distribution
Quantum Key Distribution (QKD) enables secret key exchange between two remote parties with information-theoretic security rooted in the laws of quantum physics. Encoding key information in continuous variables (CV), such as the values of quadrature components of coherent states of light, brings implementations much closer to standard optical communication systems, but this comes at the price of significant complexity in the digital signal processing techniques required for operation at low sign…

UK political parties urged to commit to AI honesty before elections
Open letter calls for commitment to protect election integrity and voter access to accurate information.
https://www.computing.co.uk/news/4202687/uk-political-…

UK political parties urged to commit to AI honesty before elections
A group of prominent political, technology and civil society leaders have raised concerns about the threat posed by AI-generated content to the integrity of the upcoming UK elections.

KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces
Alexander Rogiers, Maarten Buyl, Bo Kang, Tijl De Bie
https://arxiv.org/abs/2404.17597

KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces
KamerRaad is an AI tool that leverages large language models to help citizens interactively engage with Belgian political information. The tool extracts and concisely summarizes key excerpts from parliamentary proceedings, followed by the potential for interaction based on generative AI that allows users to steadily build up their understanding. KamerRaad's front-end, built with Streamlit, facilitates easy interaction, while the back-end employs open-source models for text embedding and generat…

On the challenges of open access monitoring - Insights
#OpenAccess .

On the challenges of open access monitoring - Insights
Insights: the UKSG journal (2048-7754) aims to support UKSG's mission to connect the information community and encourage the exchange of ideas on scholarly communication, specifically to:Provide a forum for the communication and exchange of ideas between the many stakeholders in the global knowledge community.Disseminate news, information and publications, and raise awareness of services that support the scholarly information sector.From 1988 to 2011, Insights was published as Serials: The Jo…

This https://arxiv.org/abs/2312.12116 has been replaced.
link: https://scholar.google.com/scholar?q=a

Length 3 Check Digit Codes with Grouped Tags and Disjoint Coding Applications
In 1969 J. Verhoeff provided the first examples of a decimal error detecting code using a single check digit to provide protection against all single, transposition, and adjacent twin errors. The three codes he presented are length 3-digit codes with 2 information digits. To date, the existence of a length 4-digit code with 3 information digits having these properties remains an open question. Existence of a 4-digit code would imply the existence of 10 disjoint 3-digit codes. Apparently, no pai…

Learnability Gaps of Strategic Classification
Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
https://arxiv.org/abs/2402.19303 https://

Learnability Gaps of Strategic Classification
In contrast with standard classification tasks, strategic classification involves agents strategically modifying their features in an effort to receive favorable predictions. For instance, given a classifier determining loan approval based on credit scores, applicants may open or close their credit cards to fool the classifier. The learning goal is to find a classifier robust against strategic manipulations. Various settings, based on what and when information is known, have been explored in st…

When to Retrieve: Teaching LLMs to Utilize Information Retrieval Effectively
Tiziano Labruna, Jon Ander Campos, Gorka Azkune
https://arxiv.org/abs/2404.19705 https://arxiv.org/pdf/2404.19705
arXiv:2404.19705v1 Announce Type: new
Abstract: In this paper, we demonstrate how Large Language Models (LLMs) can effectively learn to use an off-the-shelf information retrieval (IR) system specifically when additional context is required to answer a given question. Given the performance of IR systems, the optimal strategy for question answering does not always entail external information retrieval; rather, it often involves leveraging the parametric memory of the LLM itself. Prior research has identified this phenomenon in the PopQA dataset, wherein the most popular questions are effectively addressed using the LLM's parametric memory, while less popular ones require IR system usage. Following this, we propose a tailored training approach for LLMs, leveraging existing open-domain question answering datasets. Here, LLMs are trained to generate a special token, , when they do not know the answer to a question. Our evaluation of the Adaptive Retrieval LLM (Adapt-LLM) on the PopQA dataset showcases improvements over the same LLM under three configurations: (i) retrieving information for all the questions, (ii) using always the parametric memory of the LLM, and (iii) using a popularity threshold to decide when to use a retriever. Through our analysis, we demonstrate that Adapt-LLM is able to generate the token when it determines that it does not know how to answer a question, indicating the need for IR, while it achieves notably high accuracy levels when it chooses to rely only on its parametric memory.

Today I submitted a complaint to the Information Commissioner of Canada arguing that by only using third party social media platforms (as opposed to open ones like Mastodon) Public Safety Canada was not living up to the spirit, if not the word, of the Access to Information Act.
You can read my letter and justifications on my blog.
h/t @…@…

Journalists from East Asia studied Ukraine’s experience in countering Russian propaganda On February 24, a press event “Narratives of Russian propaganda in the information space of India and ASEAN cou Source : https://uacrisis.org/en/journalists-fr

Differentiated Security Architecture for Secure and Efficient Infotainment Data Communication in IoV Networks
Jiani Fan, Lwin Khin Shar, Jiale Guo, Wenzhuo Yang, Dusit Niyato, Kwok-Yan Lam
https://arxiv.org/abs/2403.20136

Differentiated Security Architecture for Secure and Efficient Infotainment Data Communication in IoV Networks
This paper aims to provide differentiated security protection for infotainment data communication in Internet-of-Vehicle (IoV) networks. The IoV is a network of vehicles that uses various sensors, software, built-in hardware, and communication technologies to enable information exchange between pedestrians, cars, and urban infrastructure. Negligence on the security of infotainment data communication in IoV networks can unintentionally open an easy access point for social engineering attacks. Th…

Schon gleich, um 16 Uhr:
"Open-Source-Governance-Modelle sind die Regeln, Konventionen und Prozesse, die bei Open-Source-Projekten Anwendung finden. Ihre Ziele sind, das Entwickler-Team und die Gemeinschaft zu leiten, um ein hohes Niveau an Qualität und Innovation zu erreichen. Sie helfen dabei, die Entwicklung von Softwareprojekten zu koordinieren und zu steuern, um die Ziele des Projekts zu verwirklichen."

Verif.ai: Towards an Open-Source Scientific Generative Question-Answering System with Referenced and Verifiable Answers
Milo\v{s} Ko\v{s}prdi\'c, Adela Ljaji\'c, Bojana Ba\v{s}aragin, Darija Medvecki, Nikola Milo\v{s}evi\'c
https://arxiv.org/abs/2402.18589

Verif.ai: Towards an Open-Source Scientific Generative Question-Answering System with Referenced and Verifiable Answers
In this paper, we present the current progress of the project Verif.ai, an open-source scientific generative question-answering system with referenced and verified answers. The components of the system are (1) an information retrieval system combining semantic and lexical search techniques over scientific papers (PubMed), (2) a fine-tuned generative model (Mistral 7B) taking top answers and generating answers with references to the papers from which the claim was derived, and (3) a verification…

"Understanding Racism in Digital Capitalism. Racialisation and De-Racialisation in Platform Economies, Infrastructural Racism and Algorithmic Opacity" Stefania Animento https://triple-c.at/index.php/tripleC/article/view/1459

Did you know early bird registrations for #TNC24 tickets are still open? The location for this year’s TNC is Rennes, which has a thriving #digital #industry and is a true hotspot for

Open Source Software (OSS) Transparency for DoD Acquisition
Nancy Mead, Carol Woody, Scott Hissam
https://arxiv.org/abs/2404.16737 https://

Open Source Software (OSS) Transparency for DoD Acquisition
Caveat emptor, or let the buyer beware, is commonly attributed to open source software (OSS)-the onus is on the OSS consumer to ensure that it is fit for use in the consumer's context. OSS has been compared to an open market bazaar where consumers are free to browse all the source code and take a copy. In this paper, we observe challenges for the OSS consumer to obtain information about the process(es), project(s) used to produce a product and the protection(s) employed by those projects. We di…

Bayesian model reconstruction based on spectral line observations
Frederik De Ceuster, Thomas Ceulemans, Leen Decin, Ta\"issa Danilovich, Jeremy Yates
https://arxiv.org/abs/2402.18525

Bayesian model reconstruction based on spectral line observations
Spectral line observations encode a wealth of information. A key challenge, therefore, lies in the interpretation of these observations in terms of models to derive the physical and chemical properties of the astronomical environments from which they arise. In this paper, we present pomme: an open-source Python package that allows users to retrieve 1D or 3D models of physical properties, such as chemical abundance, velocity, and temperature distributions of (optically thin) astrophysical media,…

Coupling a single spin to high-frequency motion
Federico Fedele, Federico Cerisola, Lea Bresque, Florian Vigneau, Juliette Monsel, Jorge Tabanera, Kushagra Aggarwal, Jonathan Dexter, Sofia Sevitz, Joe Dunlop, Alexia Auff\`eves, Juan Parrondo, Andr\'as P\'alyi, Janet Anders, Natalia Ares
https://arxiv.org/abs/2402.19288…

Coupling a single spin to high-frequency motion
Coupling a single spin to high-frequency mechanical motion is a fundamental bottleneck of applications such as quantum sensing, intermediate and long-distance spin-spin coupling, and classical and quantum information processing. Previous experiments have only shown single spin coupling to low-frequency mechanical resonators, such as diamond cantilevers. High-frequency mechanical resonators, having the ability to access the quantum regime, open a range of possibilities when coupled to single spi…

Intelligent Machines and Incomplete Information
Sujata Goala, Mridu Prabal Goswami, Surajit Borkotokey
https://arxiv.org/abs/2404.16056 https://

Intelligent Machines and Incomplete Information
The distribution of efficient individuals in the economy and the efforts that they will put in if they are hired, there are two important concerns for a technologically advanced firm. wants to open a new branch. The firm does not have information about the exact level of efficiency of an individual when she is hired. We call this situation incomplete information. The standard principal agent models assume that employees know their efficiency levels. Hence these models design incentive-compatibl…

I am getting old.
The many hoops of pre-requisite knowledge and specific software skills and ‘free by request to download at one not-Google place’ is more hoopage than my mild curiosity in a local LLM can manage.
I’m going for my nap. I’ll wake up for my evening meds later. https://mastodon.socia…

Ars Technica (@arstechnica@mastodon.social)
Attached: 1 image Google goes “open AI” with Gemma, a free, open-weights chatbot family Gemma chatbots can run locally, and they reportedly outperform Meta's Llama 2. https://arstechnica.com/information-technology/2024/02/google-goes-open-ai-with-gemma-a-free-open-weights-chatbot-family/?utm_brand=arstechnica&utm_social-type=owned&utm_source=mastodon&utm_medium=social

Apparently even the European Data Protection Supervisor #EDPS , can't find the funds for it's mastodon servers. Which is bizar if you think about all the "talk" about not relying on #bigtech , a more independent EU, open standards, security, importance of reliable information etc.

EDPS decentralised social media pilot: the end of a successful story
Two years ago, the EDPS embarked on a pioneering journey to launch two social media platforms, EU Voice and EU Video. The pilot project has proved successful in delivering alternative, privacy-friendly and user-focused social media platforms. It is time to review the results.On 28 April 2022, ...

ByteDance investors reassessing what the company's value would be without TikTok, estimate that TikTok lost several billion dollars in 2023 on revenue of ~$20B (The Information)
https://www.theinformation.com/articles/tiktok-ban-b…

TikTok Ban Bill Spotlights Open Secret: App Loses Money
TikTok, facing a growing threat of a U.S. ban, has been a global juggernaut over the past few years, drawing more than a billion monthly users and prompting rivals to launch similar services. But what is an open secret among investors is that the app loses money. TikTok’s parent, ByteDance, ...

Fisher Information Approach for Masking the Sensing Plan: Applications in Multifunction Radars
Shashwat Jain, Vikram Krishnamurthy, Muralidhar Rangaswamy, Bosung Kang, Sandeep Gogineni
https://arxiv.org/abs/2403.15966

Fisher Information Approach for Masking the Sensing Plan: Applications in Multifunction Radars
How to design a Markov Decision Process (MDP) based radar controller that makes small sacrifices in performance to mask its sensing plan from an adversary? The radar controller purposefully minimizes the Fisher information of its emissions so that an adversary cannot identify the controller's model parameters accurately. Unlike classical open loop statistical inference, where the Fisher information serves as a lower bound for the achievable covariance, this paper employs the Fisher information …

The judge in Trump's NY criminal trial ordered reporters on April 18 to not disclose jurors' job info and warned against sharing jurors' physical descriptions (New York Times)
https://www.nytimes.com/2024/04/18/nyregion/trump-trial-…

Judge in Trump Trial Asks Media Not to Report Some Juror Information
Some news reports have included details about jurors that had been aired in open court. One was excused after she developed concerns about being identified.

#AI calls for a new perspective for #Open: "any definition of open should require a more complex analysis than simply looking at a license." @…
"In our work, we…

Mike Weinberg on open licensing – Open Future
In his recent blogpost, “Licenses are Not Proxies for Openness in AI Models,” Mike Weinberg argues that the openness of AI models cannot be reduced to just their licensing. Weinberg references his response to the consultation by the US National Telecommunications and Information Administration on “open foundational models”: [the response] focused on a comparatively narrow […]

This https://arxiv.org/abs/2402.15813 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method
Bargaining is an important and unique part of negotiation between humans. As LLM-driven agents learn to negotiate and act like real humans, how to evaluate agents' bargaining abilities remains an open problem. For the first time, we formally described the Bargaining task as an asymmetric incomplete information game, defining the gains of the Buyer and Seller in multiple bargaining processes. It allows us to quantitatively assess an agent's performance in the Bargain task. We collected a real pr…

Open Position:
VP, Chief Information Security Officer (CISO)
Job Overview Summary
Reporting to the General Counsel, the inaugural Chief Information Security Officer is a visionary leader who is responsible for establishing the information security strategy and directing the implementation and monitoring of services, policies, standards, and solutions for Advarra. The CISO is both an experienced leader and a subject matter expert who will address cyber security from a strategic lens and provide guidance to leadership for managing risks to information security and cyber crisis management.
Description
At Advarra, we are passionate about making a difference in the world of clinical research and advancing human health. With a rich history rooted in ethical review services combined with innovative technology solutions and deep industry expertise, we are at the forefront of industry change. A market leader and pioneer, Advarra breaks the silos that impede clinical research, aligning patients, sites, sponsors, and CROs in a connected ecosystem to accelerate trials.
Company Culture
Our employees are the heart of Advarra. They are the key to our success and the driving force behind our mission and vision. Our values (Patient-Centric, Ethical, Quality Focused, Collaborative) guide our actions and decisions. Knowing the impact of our work on trial participants and patients, we act with urgency and purpose to advance clinical research so that people can live happier, healthier lives.
At Advarra, we seek to foster an inclusive and collaborative environment where everyone is treated with respect and diverse perspectives are embraced. Treating one another, our clients, and clinical trial participants with empathy and care are key tenets of our culture at Advarra; we are committed to creating a workplace where each employee is not only valued but empowered to thrive and make a meaningful impact.
Please note: I have no ability to answer questions about the position, or to refer anyone to the hiring managers involved.
Posting this here for anyone who feels this would be a good fit.
Link to Advarra listing:
https://recruiting.ultipro.com/ADV1023AVR/JobBoard/6051d363-03fe-4650-945e-f836306a8388/OpportunityDetail?opportunityId=3bd76d2a-3885-4449-8b7e-b8f1a14d624b

A big thing happened in the Super Mario Maker community (turns out the last uncleared level in SMM1 was not legit), and the announcement was made on a Discord.
I tried to link this to a friend, and I don’t think I can.
It makes me really sad that we have stuff on the web that is locked into a silo like this. Open forums (the good and the bad) were a big part of how I learned about all kinds of things, 20 years ago. Bummed that we’re stealing this kind of information sharing from…

The asymptotic spectrum distance, graph limits, and the Shannon capacity
David de Boer, Pjotr Buys, Jeroen Zuiddam
https://arxiv.org/abs/2404.16763 https:/…

The asymptotic spectrum distance, graph limits, and the Shannon capacity
Determining the Shannon capacity of graphs is a long-standing open problem in information theory, graph theory and combinatorial optimization. Over decades, a wide range of upper and lower bound methods have been developed to analyze this problem. However, despite tremendous effort, even small instances of the problem have remained open. In recent years, a new dual characterization of the Shannon capacity of graphs, asymptotic spectrum duality, has unified and extended known upper bound metho…

This https://arxiv.org/abs/2311.04590 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions
Cross-Domain Sequential Recommendation (CDSR) methods aim to tackle the data sparsity and cold-start problems present in Single-Domain Sequential Recommendation (SDSR). Existing CDSR works design their elaborate structures relying on overlapping users to propagate the cross-domain information. However, current CDSR methods make closed-world assumptions, assuming fully overlapping users across multiple domains and that the data distribution remains unchanged from the training environment to the …

#Matrix …

Beyond Discord
💬Join our new Matrix space: #home:commune.sh The web is awash with reasons not to use Discord, especially for open source projects. One of the easiest ways to trend on HN is to rant against the use of Discord for OSS or information storage: In spite of countless pleas,

Apparently even the European Data Protection Supervisor #EDPS , can't find the funds for it's mastodon servers. Which is bizar if you think about all the "talk" about not relying on #bigtech , a more independent EU, open standards, security, importance of reliable information etc.

EDPS decentralised social media pilot: the end of a successful story
Two years ago, the EDPS embarked on a pioneering journey to launch two social media platforms, EU Voice and EU Video. The pilot project has proved successful in delivering alternative, privacy-friendly and user-focused social media platforms. It is time to review the results.On 28 April 2022, ...

PaECTER: Patent-level Representation Learning using Citation-informed Transformers
Mainak Ghosh, Sebastian Erhardt, Michael E. Rose, Erik Buunk, Dietmar Harhoff
https://arxiv.org/abs/2402.19411

PaECTER: Patent-level Representation Learning using Citation-informed Transformers
PaECTER is a publicly available, open-source document-level encoder specific for patents. We fine-tune BERT for Patents with examiner-added citation information to generate numerical representations for patent documents. PaECTER performs better in similarity tasks than current state-of-the-art models used in the patent domain. More specifically, our model outperforms the next-best patent specific pre-trained language model (BERT for Patents) on our patent citation prediction test dataset on two…

Long gamma-ray burst light curves as the result of a common stochastic pulse-avalanche process
Lorenzo Bazzanini, Lisa Ferro, Cristiano Guidorzi, Giuseppe Angora, Lorenzo Amati, Massimo Brescia, Mattia Bulla, Filippo Frontera, Romain Maccary, Manuele Maistrello, Piero Rosati, Anastasia Tsvetkova
https://arxiv.org/abs/2403.18754<…

Long gamma-ray burst light curves as the result of a common stochastic pulse-avalanche process
Context. The complexity and variety exhibited by the light curves of long gamma-ray bursts (GRBs) enclose a wealth of information that still awaits being fully deciphered. Despite the tremendous advance in the knowledge of the energetics, structure, and composition of the relativistic jet that results from the core collapse of the progenitor star, the nature of the inner engine, how it powers the relativistic outflow, and the dissipation mechanisms remain open issues. Aims. A promising way to g…

User is seeking information on open-source or low-cost cybersecurity controls as alternatives to traditional big brands for everyday enterprise. They are open to suggestions, comments, or tips that can help them find the right resources. https://reddit.com/r/cybersecurity/comments/1c689uh/

A Categorical Treatment of Open Linear Systems
Dario Stein, Richard Samuelson
https://arxiv.org/abs/2403.03934 https://arxiv.org/pdf/…

A Categorical Treatment of Open Linear Systems
An open stochastic system à la Willems is a system affected two qualitatively different kinds of uncertainty -- one is probabilistic fluctuation, and the other one is nondeterminism caused by lack of information. We give a formalization of open stochastic systems in the language of category theory. A new construction, which we term copartiality, is needed to model the propagating lack of information (which corresponds to varying sigma-algebras). As a concrete example, we discuss extended Gau…

This https://arxiv.org/abs/2403.10564 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

All incompatible measurements on qubits lead to multiparticle Bell nonlocality
Bell nonlocality is a fundamental phenomenon of quantum physics as well as an essential resource for various tasks in quantum information processing. It is known that for the observation of nonlocality the measurements on a quantum system have to be incompatible, but the question which incompatible measurements are useful, remained open. Here we prove that any set of incompatible measurements on qubits leads to a violation of a suitable Bell inequality in a multiparticle scenario, where all par…

An engineer bought a prison laptop on eBay. Then 1,200 incarcerated students lost their devices. - Open Campus

An engineer bought a prison laptop on eBay. Then 1,200 incarcerated students lost their devices. - Open Campus
Students said they were given little information about when and if the devices would be returned, and many wondered if they’d lose access to the work they saved.

Yes today I'm retooting genocides, alpaca's, cats and something about an open research information declaration.
The current times feel a bit wild. Most of the times.

Mutual information scrambling in Ising spin chain
Surbhi Khetrapal, Emil Tore M{\ae}rsk Pedersen
https://arxiv.org/abs/2402.13558 https://

Mutual information scrambling in Ising spin chain
We consider a chain of spin-half particles of a finite length, evolved with the mixed-field Ising Hamiltonian and impose open boundary condition. We simulate the time evolution of entanglement entropy and mutual information following quench from the Néel state in this system using tensor networks. We find that the entanglement entropy for non-integrable systems saturates to a constant value at late times, however it continues to oscillate for integrable systems. We also find that mutual inform…

SiCat - an advanced exploit search tool designed to identify and gather information about exploits from both open sources and local repositories effectively https://github.com/justakazh/sicat

ByteDance investors reassessing what the company's value would be without TikTok, estimate that TikTok lost several billion dollars in 2023 on revenue of ~$20B (The Information)
https://www.theinformation.com/articles/tiktok-ban-b…

TikTok Ban Bill Spotlights Open Secret: App Loses Money
TikTok, facing a growing threat of a U.S. ban, has been a global juggernaut over the past few years, drawing more than a billion monthly users and prompting rivals to launch similar services. But what is an open secret among investors is that the app loses money. TikTok’s parent, ByteDance, ...

Bayesian games with nested information
Royi Jacobovic, Eilon Solan
https://arxiv.org/abs/2402.14450 https://arxiv.org/pdf/2402.14450<…

Bayesian games with nested information
We prove that any Bayesian game (á la Aumann) with a general state space, compact metric action spaces, and nested information admits a Harsanyi $\varepsilon$-equilibrium for every $\varepsilon> 0$. When, in addition, the action spaces and the payoffs are discrete, there is a Bayesian $\varepsilon$-equilibrium. To this end, we develop a new finite approximation of information structures, which has independent interest. We also put forth several open problems, including the existence of a $0$-e…

We are pleased to announce YDS' first non-degree online certificate program in youth ministry leadership!
Applications are now open. Find information at
https://divinity.yale.edu/continuing-education/certificate-program

The "Portal Pasażera" #Android app is truly a feat of engineering.
It's the official app of PKP PLK, the company overseeing polish railway network. It's the only app having access to the official timetable data with last minute updates and delay information. As a true monopoly, they protect this data to the point of harassing "competition" — and by competition, we mean people making free applications without ads.
But back to the topic. This is the app that you open you need to quickly look the departure time up, or check the train delay. However:
1. The previous instance manages to be killed by Android, for some reason.
2. It takes 20 seconds to start!
3. It decides that it's a perfect time to update station data.
4. It requires you to input all the data again.
5. In the meantime, you lose reception and can't fetch the data anymore.
#rail

This https://arxiv.org/abs/2404.16461 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Large Language Models Perform on Par with Experts Identifying Mental Health Factors in Adolescent Online Forums
Mental health in children and adolescents has been steadily deteriorating over the past few years [ 1 ]. The recent advent of Large Language Models (LLMs) offers much hope for cost and time efficient scaling of monitoring and intervention, yet despite specifically prevalent issues such as school bullying and eating disorders, previous studies on have not investigated performance in this domain or for open information extraction where the set of answers is not predetermined. We create a new data…

@…
Just laughed listening to @… 's #TheBezzle talking about auditors cheating on the state ethics exam.
I don't know about #California, but the #Utah Ethics exam provides everyone with a booklet and has you take an open book test. I've always looked at it as the state just getting extra licensing fees out of people between when they pass the CPA exam and when they're licensed. It's nothing to do with actual ethics.
See here: https://www.dopl.utah.gov/accountancy/exam-information/

Les valeurs linguistiques et culturelles des documents num{\'e}riques et leur traitement s{\'e}mantique dans les syst{\`e}mes d'information {\'e}lectroniques
Mokhtar Ben Henda (MICA, ISD, GRESIC, ISIC, Chaire Unesco-ITEN)
https://arxiv.org/abs/2404.12681 https://arxiv.org/pdf/2404.12681
arXiv:2404.12681v1 Announce Type: new
Abstract: The digital document evolves rapidly and spectacularly in its structure and information content conveyed on networks and information systems. Generally understood as a neutral support for information carrying a semantic value, the digital document nevertheless carries parameters that denote certain cultural and linguistic values specific to its creator. This document attempts to emphasize some technical aspects that reflect this intrinsic identity of electronic documents. The objective is to define a set of parameters and recommendations capable of preserving the digital document a cultural and linguistic identity which will identify it to its potential users in open and distributed information systems. Ultimately, it aims to offer "good practice" recommendations for producers of fully or partially Arabic digital documents.

The call for applications for EMLex Erasmus Mundus (European Master in Lexicography) scholarships is open till 01 March 2024.
#linguistics

Don't miss today's Metacurity for the most important infosec developments you should know today, including
--Ukraine suspends cyber chief amid reports of corruption, journalist intimidation
--Open Azure server spilled Bing internal information,
--Microsoft reports record number of Patch Tuesday fixes,
--LG smart TV vulnerabilities flaws disclosed,
--Ransomware gang stole sensitive info on 500K from Wisconsin healthcare provider,
--Congress races to save Sec. 702,
-- EPA was not breached,
--much more
https://www.metacurity.com/p/ukraine-suspends-cyber-chief-amid-reports-corruption-journalist-intimidation

Nice overview about LLMs for data annotation including paper references of papers with open source code & data.
Zhen Tan et al, Large Language Models for Data Annotation: A Survey, https://arxiv.org/abs/2402.13446

Stellar population astrophysics (SPA) with the TNG: Measurement of the He I 10830{\AA} line in the open cluster Stock 2
Mingjie Jian, Xiaoting Fu, Noriyuki Matsunaga, Valentina D'Orazi, Angela Bragaglia, Daisuke Taniguchi, Min Fang, Nicoletta Sanna, Sara Lucatello, Antonio Frasca, Javier Alonso-Santiago, Giovanni Catanzaro, Ernesto Oliva
https://…

Stellar population astrophysics (SPA) with the TNG: Measurement of the He I 10830Å line in the open cluster Stock 2
The precise measurement of stellar abundances plays a pivotal role in providing constraints on the chemical evolution of the Galaxy. However, before spectral lines can be employed as reliable abundance indicators, particularly for challenging elements such as helium, they must undergo thorough scrutiny. Galactic open clusters, representing well-defined single stellar populations, offer an ideal setting for unfolding the information stored in the helium spectral line feature. In this study, we c…

This https://arxiv.org/abs/2201.07794 has been replaced.
link: https://scholar.google.com/scholar?q=a

A Non-Expert's Introduction to Data Ethics for Mathematicians
I give a short introduction to data ethics. I begin with some background information and societal context for data ethics. I then discuss data ethics in mathematical-science education and indicate some available course material. I briefly highlight a few efforts -- at my home institution and elsewhere -- on data ethics, society, and social good. I then discuss open data in research, research replicability and some other ethical issues in research, and the tension between privacy and open data a…

Goede podcast over kernwapens, escalatie ladder etc
https://open.spotify.com/episode/2xi594EQwMzDkRwsn3wdtu?si=YfS6p34XRuWR2sWUWACWPA

Een Europese atoomparaplu
Listen to this episode from Boekestijn en De Wijk | BNR on Spotify. Door Russische agressie en twijfel aan de Amerikaanse nucleaire garanties rijst de vraag: moet Europa niet een eigen Bom?  Te gast: HCSS-defensiespecialist en kernwapenexpert Paul van Hooft.See omnystudio.com/listener for privacy information.

Source: Mistral is in talks with investors about raising several hundred million dollars at a $5B valuation, after raising $415M at a $2B valuation in Dec. 2023 (Kate Clark/The Information)
https://www.theinformation.com/articles/mi

Mistral, an OpenAI Rival in Europe, in Talks to Raise Capital at a $5 Billion Valuation
Mistral, a Paris-based startup developing artificial intelligence that is open source, has been speaking to investors about raising several hundred million dollars at a valuation of $5 billion, according to a person with direct knowledge. The company, which has just recently begun to generate ...

Fostering the integration of European Open Data into Data Spaces through High-Quality Metadata
Javier Conde, Alejandro Pozo, Andr\'es Munoz-Arcentales, Johnny Choque, \'Alvaro Alonso
https://arxiv.org/abs/2402.06693

Fostering the integration of European Open Data into Data Spaces through High-Quality Metadata
The term Data Space, understood as the secure exchange of data in distributed systems, ensuring openness, transparency, decentralization, sovereignty, and interoperability of information, has gained importance during the last years. However, Data Spaces are in an initial phase of definition, and new research is necessary to address their requirements. The Open Data ecosystem can be understood as one of the precursors of Data Spaces as it provides mechanisms to ensure the interoperability of inf…

Leveraging open-source models for legal language modeling and analysis: a case study on the Indian constitution
Vikhyath Gupta (Vidya Jyothi Institute of Technology, Hyderabad, Telangana, India), Srinivasa Rao P (Curlvee TechnoLabs, Hyderabad, Telangana, India)
https://arxiv.org/abs/2404.06751

Leveraging open-source models for legal language modeling and analysis: a case study on the Indian constitution
In recent years, the use of open-source models has gained immense popularity in various fields, including legal language modelling and analysis. These models have proven to be highly effective in tasks such as summarizing legal documents, extracting key information, and even predicting case outcomes. This has revolutionized the legal industry, enabling lawyers, researchers, and policymakers to quickly access and analyse vast amounts of legal text, saving time and resources. This paper presents …

Optimization-based Prompt Injection Attack to LLM-as-a-Judge
Jiawen Shi, Zenghui Yuan, Yinuo Liu, Yue Huang, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong
https://arxiv.org/abs/2403.17710

Optimization-based Prompt Injection Attack to LLM-as-a-Judge
LLM-as-a-Judge is a novel solution that can assess textual information with large language models (LLMs). Based on existing research studies, LLMs demonstrate remarkable performance in providing a compelling alternative to traditional human assessment. However, the robustness of these systems against prompt injection attacks remains an open question. In this work, we introduce JudgeDeceiver, a novel optimization-based prompt injection attack tailored to LLM-as-a-Judge. Our method formulates a p…

XZ backdoor story – Initial analysis
https://poliverso.org/display/0477a01e-bec42adc-02198b065103ad5d
XZ backdoor story – Initial analysis On March 29, 2024, a single message

I've published a detailed article about #ChatGPT hallucination minimization using predefined #SPARQL-based query templates scoped to Linked Open Data (LOD) Cloud Knowledge Graphs such as #UniProtKB…

Reducing Hallucinations in ChatGPT using Predefined Query Templates scoped to Knowledge Graphs
In the fast-paced world of artificial intelligence, chatbots using language model strategies are becoming more common. However, these chatbots sometimes generate responses based on incorrect or fabricated information, a problem often referred to as “hallucinations.

San Francisco Bay Area peeps!
THURSDAY, April 11th
@ CCRMA
(660 Lomita Ct, Stanford)
#PamelaZ will perform a selection of solo works for voice, electronics, and video.
This event is free and open to the public.

CCRMA Presents: Pamela Z | Department of Music
Pamela Z visits CCRMA to perform a selection of solo works for voice, electronics, and video. Admission Information Free admission. Stanford University guidelines now state that masks are no longer required, but are strongly recommended. We encourage you to continue wearing masks for the comfort of our patrons, staff, and artists. Proof of vaccination or a negative COVID-19 test will no longer be required.

Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data
Dayananda Herurkar, Sebastian Palacio, Ahmed Anwar, Joern Hees, Andreas Dengel
https://arxiv.org/abs/2404.14933 <…

Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data
Anomaly detection in real-world scenarios poses challenges due to dynamic and often unknown anomaly distributions, requiring robust methods that operate under an open-world assumption. This challenge is exacerbated in practical settings, where models are employed by private organizations, precluding data sharing due to privacy and competitive concerns. Despite potential benefits, the sharing of anomaly information across organizations is restricted. This paper addresses the question of enhancin…

A Large-scale Fine-grained Analysis of Packages in Open-Source Software Ecosystems
Xiaoyan Zhou, Feiran Liang, Zhaojie Xie, Yang Lan, Wenjia Niu, Jiqiang Liu, Haining Wang, Qiang Li
https://arxiv.org/abs/2404.11467

A Large-scale Fine-grained Analysis of Packages in Open-Source Software Ecosystems
Package managers such as NPM, Maven, and PyPI play a pivotal role in open-source software (OSS) ecosystems, streamlining the distribution and management of various freely available packages. The fine-grained details within software packages can unveil potential risks within existing OSS ecosystems, offering valuable insights for detecting malicious packages. In this study, we undertake a large-scale empirical analysis focusing on fine-grained information (FGI): the metadata, static, and dynamic…

The security of the worldwide information technology infrastructure sadly rests on tons of unpaid open source developers. 😦
https://www.theverge.com/2024/4/2/24119342/xz-utils-linux-backdoor-attempt

How one volunteer stopped a backdoor from exposing Linux systems worldwide
A maintainer for a Linux-based database identified malicious code hidden in a tool called XZ Utils and stopped a global security breach in its tracks.

This https://arxiv.org/abs/2402.02260 has been replaced.
link: https://scholar.google.com/scholar?q=a

Open dynamics of entanglement in mesoscopic bosonic systems
A key issue in Quantum Information is finding an adequate description of mesoscopic systems that is simpler than full quantum formalism yet retains crucial information about non-classical phenomena like entanglement. In particular, the study of fully bosonic systems undergoing open evolution is of great importance for the advancement of photonic quantum computing and communication. In this paper, we propose a mesoscopic description of such systems based on boson number correlations. This descri…

An engineer bought a prison laptop on eBay. Then 1,200 incarcerated students lost their devices. - Open Campus

An engineer bought a prison laptop on eBay. Then 1,200 incarcerated students lost their devices. - Open Campus
Students said they were given little information about when and if the devices would be returned, and many wondered if they’d lose access to the work they saved.

A Flexible Architecture for Web-based GIS Applications using Docker and Graph Databases
Yves Annanias, Daniel Wiegreffe
https://arxiv.org/abs/2404.12074 ht…

A Flexible Architecture for Web-based GIS Applications using Docker and Graph Databases
Regional planning processes and associated redevelopment projects can be complex due to the vast amount of diverse data involved. However, all of this data shares a common geographical reference, especially in the renaturation of former open-cast mining areas. To ensure safety, it is crucial to maintain a comprehensive overview of the interrelated data and draw accurate conclusions. This requires special tools and can be a very time-consuming process. A geographical information system (GIS) is …

Stellar population astrophysics (SPA) with the TNG: Measurement of the He I 10830{\AA} line in the open cluster Stock 2
Mingjie Jian, Xiaoting Fu, Noriyuki Matsunaga, Valentina D'Orazi, Angela Bragaglia, Daisuke Taniguchi, Min Fang, Nicoletta Sanna, Sara Lucatello, Antonio Frasca, Javier Alonso-Santiago, Giovanni Catanzaro, Ernesto Oliva
https://…

Stellar population astrophysics (SPA) with the TNG: Measurement of the He I 10830Å line in the open cluster Stock 2
The precise measurement of stellar abundances plays a pivotal role in providing constraints on the chemical evolution of the Galaxy. However, before spectral lines can be employed as reliable abundance indicators, particularly for challenging elements such as helium, they must undergo thorough scrutiny. Galactic open clusters, representing well-defined single stellar populations, offer an ideal setting for unfolding the information stored in the helium spectral line feature. In this study, we c…

Stability of P2P Networks Under Greedy Peering (Full Version)
Lucianna Kiffer, Rajmohan Rajaraman
https://arxiv.org/abs/2402.14666 https://

Stability of P2P Networks Under Greedy Peering (Full Version)
Major cryptocurrency networks have relied on random peering choice rules for making connections in their peer-to-peer networks. Generally, these choices have good properties, particularly for open, permissionless networks. Random peering choices however do not take into account that some actors may choose to optimize who they connect to such that they are quicker to hear about information being propagated in the network. In this paper, we explore the dynamics of such greedy strategies. We study…

Introducing RSESS: An Open Source Enumerative Sphere Shaping Implementation Coded in Rust
Frederik Ritter, Andrej Rode, Laurent Schmalen
https://arxiv.org/abs/2402.08771

Introducing RSESS: An Open Source Enumerative Sphere Shaping Implementation Coded in Rust
In this work, we present an open-source implementation of the enumerative sphere shaping (ESS) algorithm used for probabilistic constellation shaping (PCS). PCS aims at closing the shaping gap caused by using uniformly distributed modulation symbols in channels for which information theory shows non-uniformly distributed signaling to be optimal. ESS is one such PCS algorithm that sets itself apart as it operates on a trellis representation of a subset of the possible symbol sequences. ESS leads…

Australia’s chief scientist takes on the journal publishers gatekeeping knowledge
Before Latin mass was abandoned in the late 1960s, the average church-goer got by picking up snippets of phrases and the meanings of gestures.
To Dr Averil Cook, that’s what scientific research is like in the 21st century. The public relies on information to be synthesised for us, trickled down until it is devoid of its origin.
Cook, a clinical psychologist, is lucky. She can access the full b…

Combining Language and Graph Models for Semi-structured Information Extraction on the Web
Zhi Hong, Kyle Chard, Ian Foster
https://arxiv.org/abs/2402.14129

Combining Language and Graph Models for Semi-structured Information Extraction on the Web
Relation extraction is an efficient way of mining the extraordinary wealth of human knowledge on the Web. Existing methods rely on domain-specific training data or produce noisy outputs. We focus here on extracting targeted relations from semi-structured web pages given only a short description of the relation. We present GraphScholarBERT, an open-domain information extraction method based on a joint graph and language model structure. GraphScholarBERT can generalize to previously unseen domain…

End-to-end solution for linked open data query logs analytics
Dihia Lanasri
https://arxiv.org/abs/2403.06016 https://arxiv.org/pdf/24…

End-to-end solution for linked open data query logs analytics
Important advances in pillar domains are derived from exploiting query-logs which represents users interest and preferences. Deep understanding of users provides useful knowledge which can influence strongly decision-making. In this work, we want to extract valuable information from Linked Open Data (LOD) query-logs. LOD logs have experienced significant growth due to the large exploitation of LOD datasets. However, exploiting these logs is a difficult task because of their complex structure. M…

This https://arxiv.org/abs/2402.06745 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

qec_code_sim: An open-source Python framework for estimating the effectiveness of quantum-error correcting codes on superconducting qubits
Quantum computers are highly susceptible to errors due to unintended interactions with their environment. It is crucial to correct these errors without gaining information about the quantum state, which would result in its destruction through back-action. Quantum Error Correction (QEC) provides information about occurred errors without compromising the quantum state of the system. However, the implementation of QEC has proven to be challenging due to the current performance levels of qubits -- …

This https://arxiv.org/abs/2402.14450 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Bayesian games with nested information
We prove that any Bayesian game (á la Aumann) with a general state space, compact metric action spaces, and nested information admits a Harsanyi $\varepsilon$-equilibrium for every $\varepsilon> 0$. When, in addition, the action spaces and the payoffs are discrete, there is a Bayesian $\varepsilon$-equilibrium. To this end, we develop a new finite approximation of information structures, which has independent interest. We also put forth several open problems, including the existence of a $0$-e…

Does Documentation Matter? An Empirical Study of Practitioners' Perspective on Open-Source Software Adoption
Aaron Imani, Shiva Radmanesh, Iftekhar Ahmed, Mohammad Moshirpour
https://arxiv.org/abs/2403.03819

Does Documentation Matter? An Empirical Study of Practitioners' Perspective on Open-Source Software Adoption
In recent years, open-source software (OSS) has become increasingly prevalent in developing software products. While OSS documentation is the primary source of information provided by the developers' community about a product, its role in the industry's adoption process has yet to be examined. We conducted semi-structured interviews and an online survey to provide insight into this area. Based on interviews and survey insights, we developed a topic model to collect relevant information from OSS…

As Amazon plans more grocery stores after an 18-month pause, it will use Dash Carts, where shoppers can scan items as they shop, instead of Just Walk Out tech (Theo Wayt/The Information)
https://www.theinformation.com/articles/ama…

Amazon’s Grocery Stores to Drop Just Walk Out Checkout Tech
Amazon’s grab-and-go checkout system, Just Walk Out, has been a centerpiece of its ambitions to transform bricks-and-mortar supermarkets. Now Amazon is gearing up to open a new batch of grocery stores after an 18-month pause—and it’s ditching the technology. Tony Hoggett, Amazon’s senior vice ...

This https://arxiv.org/abs/2311.04590 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions
Cross-Domain Sequential Recommendation (CDSR) methods aim to tackle the data sparsity and cold-start problems present in Single-Domain Sequential Recommendation (SDSR). Existing CDSR works design their elaborate structures relying on overlapping users to propagate the cross-domain information. However, current CDSR methods make closed-world assumptions, assuming fully overlapping users across multiple domains and that the data distribution remains unchanged from the training environment to the …

M$^3$AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset
Zhe Chen, Heyang Liu, Wenyi Yu, Guangzhi Sun, Hongcheng Liu, Ji Wu, Chao Zhang, Yu Wang, Yanfeng Wang
https://arxiv.org/abs/2403.14168

M$^3$AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset
Publishing open-source academic video recordings is an emergent and prevalent approach to sharing knowledge online. Such videos carry rich multimodal information including speech, the facial and body movements of the speakers, as well as the texts and pictures in the slides and possibly even the papers. Although multiple academic video datasets have been constructed and released, few of them support both multimodal content recognition and understanding tasks, which is partially due to the lack …

DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts
Pranav Kasela, Gabriella Pasi, Raffaele Perego, Nicola Tonellotto
https://arxiv.org/abs/2403.13468

DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts
Open-domain question answering requires retrieval systems able to cope with the diverse and varied nature of questions, providing accurate answers across a broad spectrum of query types and topics. To deal with such topic heterogeneity through a unique model, we propose DESIRE-ME, a neural information retrieval model that leverages the Mixture-of-Experts framework to combine multiple specialized neural models. We rely on Wikipedia data to train an effective neural gating mechanism that classifi…

This https://arxiv.org/abs/2403.10564 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

All incompatible measurements on qubits lead to multiparticle Bell nonlocality
Bell nonlocality is a fundamental phenomenon of quantum physics as well as an essential resource for various tasks in quantum information processing. It is known that for the observation of nonlocality the measurements on a quantum system have to be incompatible, but the question which incompatible measurements are useful, remained open. Here we prove that any set of incompatible measurements on qubits leads to a violation of a suitable Bell inequality in a multiparticle scenario, where all par…

Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering
Hongda Sun, Yuxuan Liu, Chengwei Wu, Haiyu Yan, Cheng Tai, Xin Gao, Shuo Shang, Rui Yan
https://arxiv.org/abs/2403.05217

Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering
Open-domain question answering (ODQA) has emerged as a pivotal research spotlight in information systems. Existing methods follow two main paradigms to collect evidence: (1) The \textit{retrieve-then-read} paradigm retrieves pertinent documents from an external corpus; and (2) the \textit{generate-then-read} paradigm employs large language models (LLMs) to generate relevant documents. However, neither can fully address multifaceted requirements for evidence. To this end, we propose LLMQA, a gen…

ExaRanker-Open: Synthetic Explanation for IR using Open-Source LLMs
Fernando Ferraretto, Thiago Laitz, Roberto Lotufo, Rodrigo Nogueira
https://arxiv.org/abs/2402.06334

ExaRanker-Open: Synthetic Explanation for IR using Open-Source LLMs
ExaRanker recently introduced an approach to training information retrieval (IR) models, incorporating natural language explanations as additional labels. The method addresses the challenge of limited labeled examples, leading to improvements in the effectiveness of IR models. However, the initial results were based on proprietary language models such as GPT-3.5, which posed constraints on dataset size due to its cost and data privacy. In this paper, we introduce ExaRanker-Open, where we adapt …

This https://arxiv.org/abs/2402.04213 has been replaced.
link: https://scholar.google.com/scholar?q=a

Quantifying information flow in quantum processes
We present a framework for quantifying information flow within general quantum processes. For this purpose, we introduce the signaling power of quantum channels and discuss its relevant operational properties. This function supports extensions to higher order maps, enabling the evaluation of information flow in general quantum causal networks and also processes with indefinite causal order. Furthermore, our results offer a rigorous approach to information dynamics in open systems that applies a…

Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering
Hongda Sun, Yuxuan Liu, Chengwei Wu, Haiyu Yan, Cheng Tai, Xin Gao, Shuo Shang, Rui Yan
https://arxiv.org/abs/2403.05217

Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering
Open-domain question answering (ODQA) has emerged as a pivotal research spotlight in information systems. Existing methods follow two main paradigms to collect evidence: (1) The \textit{retrieve-then-read} paradigm retrieves pertinent documents from an external corpus; and (2) the \textit{generate-then-read} paradigm employs large language models (LLMs) to generate relevant documents. However, neither can fully address multifaceted requirements for evidence. To this end, we propose LLMQA, a gen…

This https://arxiv.org/abs/2308.00898 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Quantum reservoir probing of quantum information scrambling
Quantum information scrambling is the dynamical process where initially localized quantum information spreads over diverse degrees of freedom. Out-of-time-order correlators and tripartite mutual information have been utilized as key metrics to investigate scrambling, with a specific emphasis on the long-time asymptotic behavior and the early-time spreading. An open question is the comprehensive clarification of the dynamics of scrambling, covering the intermediate-time regime. Here, by extendin…

This https://arxiv.org/abs/2307.11278 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Novel Dual-Generator Framework for Open-Domain Question Answering
Addressing the intricacies of open-domain question answering (QA) necessitates the extraction of pertinent information from expansive corpora to formulate precise answers. This paper introduces an innovative methodology, termed Generator-Retriever-Generator (GRG), which synergizes document retrieval strategies with advanced large language models (LLMs). The process commences with the LLM generating context-specific documents in response to a posed question. Concurrently, a sophisticated dual-en…

Seed-based information retrieval in networks of research publications: Evaluation of direct citations, bibliographic coupling, co-citations and PubMed related article score
Peter Sj\"og{\aa}rde, Per Ahlgren
https://arxiv.org/abs/2403.09295

Seed-based information retrieval in networks of research publications: Evaluation of direct citations, bibliographic coupling, co-citations and PubMed related article score
In this contribution, we deal with seed-based information retrieval in networks of research publications. Using systematic reviews as a baseline, and publication data from the NIH Open Citation Collection, we compare the performance of the three citation-based approaches direct citation, co-citation, and bibliographic coupling with respect to recall and precision measures. In addition, we include the PubMed Related Article score as well as combined approaches in the comparison. We also provide …

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki
Timothee Mickus, Stig-Arne Gr\"onroos, Joseph Attieh, Michele Boggia, Ona De Gibert, Shaoxiong Ji, Niki Andreas Lopi, Alessandro Raganato, Ra\'ul V\'azquez, J\"org Tiedemann
https://arxiv.org/abs/2403.07544…

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki
NLP in the age of monolithic large language models is approaching its limits in terms of size and information that can be handled. The trend goes to modularization, a necessary step into the direction of designing smaller sub-networks and components with specialized functionality. In this paper, we present the MAMMOTH toolkit: a framework designed for training massively multilingual modular machine translation systems at scale, initially derived from OpenNMT-py and then adapted to ensure effici…

This https://arxiv.org/abs/2308.00831 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Spectral Density Classification For Environment Spectroscopy
Spectral densities encode the relevant information characterising the system-environment interaction in an open-quantum system problem. Such information is key to determining the system's dynamics. In this work, we leverage the potential of machine learning techniques to reconstruct the features of the environment. Specifically, we show that the time evolution of a system observable can be used by an artificial neural network to infer the main features of the spectral density. In particular, fo…

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki
Timothee Mickus, Stig-Arne Gr\"onroos, Joseph Attieh, Michele Boggia, Ona De Gibert, Shaoxiong Ji, Niki Andreas Lopi, Alessandro Raganato, Ra\'ul V\'azquez, J\"org Tiedemann
https://arxiv.org/abs/2403.07544…

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki
NLP in the age of monolithic large language models is approaching its limits in terms of size and information that can be handled. The trend goes to modularization, a necessary step into the direction of designing smaller sub-networks and components with specialized functionality. In this paper, we present the MAMMOTH toolkit: a framework designed for training massively multilingual modular machine translation systems at scale, initially derived from OpenNMT-py and then adapted to ensure effici…

This https://arxiv.org/abs/2311.04590 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions
Cross-Domain Sequential Recommendation (CDSR) methods aim to tackle the data sparsity and cold-start problems present in Single-Domain Sequential Recommendation (SDSR). Existing CDSR works design their elaborate structures relying on overlapping users to propagate the cross-domain information. However, current CDSR methods make closed-world assumptions, assuming fully overlapping users across multiple domains and that the data distribution remains unchanged from the training environment to the …

Findings of the First Workshop on Simulating Conversational Intelligence in Chat
Yvette Graham, Mohammed Rameez Qureshi, Haider Khalid, Gerasimos Lampouras, Ignacio Iacobacci, Qun Liu
https://arxiv.org/abs/2402.06420

Findings of the First Workshop on Simulating Conversational Intelligence in Chat
The aim of this workshop is to bring together experts working on open-domain dialogue research. In this speedily advancing research area many challenges still exist, such as learning information from conversations, engaging in realistic and convincing simulation of human intelligence and reasoning. SCI-CHAT follows previous workshops on open domain dialogue but with a focus on the simulation of intelligent conversation as judged in a live human evaluation. Models aim to include the ability to f…

To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process
Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, Jun Xu
https://arxiv.org/abs/2404.03267

To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process
Incorporating Search and Recommendation (S&R) services within a singular application is prevalent in online platforms, leading to a new task termed open-app motivation prediction, which aims to predict whether users initiate the application with the specific intent of information searching, or to explore recommended content for entertainment. Studies have shown that predicting users' motivation to open an app can help to improve user engagement and enhance performance in various downstream task…