Tootfinder

edit_wikiquote: Wikiquote edits (2010)
A bipartite user-page network extracted from Wikiquotes. A user connects to a page if that user edited that page. Edits (edges) are timestamped. Edge weights represent counts of the number of edits.
This network has 84 nodes and 77 edges.
Tags: Informational, Web graph, Multigraph, Timestamps
h…

DV365: Extremely Long User History Modeling at Instagram
Wenhan Lyu, Devashish Tyagi, Yihang Yang, Ziwei Li, Ajay Somani, Karthikeyan Shanmugasundaram, Nikola Andrejevic, Ferdi Adeputra, Curtis Zeng, Arun K. Singh, Maxime Ransan, Sagar Jain
https://arxiv.org/abs/2506.00450

DV365: Extremely Long User History Modeling at Instagram
Long user history is highly valuable signal for recommendation systems, but effectively incorporating it often comes with high cost in terms of data center power consumption and GPU. In this work, we chose offline embedding over end-to-end sequence length optimization methods to enable extremely long user sequence modeling as a cost-effective solution, and propose a new user embedding learning strategy, multi-slicing and summarization, that generates highly generalizable user representation of …

Towards a unified user modeling language for engineering human centered AI systems
Aaron Conrardy, Alfredo Capozucca, Jordi Cabot
https://arxiv.org/abs/2505.24697

Towards a unified user modeling language for engineering human centered AI systems
In today's digital society, personalization has become a crucial aspect of software applications, significantly impacting user experience and engagement. A new wave of intelligent user interfaces, such as AI-based conversational agents, has the potential to enable such personalization beyond what other types of interfaces could offer in the past. Personalization requires the ability to specify a complete user profile, covering as many dimensions as possible, such as potential accessibility cons…

Kurzbefehle-App von Apple soll künftig natürliche Sprache verstehen
Mit Kurzbefehlen können Apple-User häufige Vorgänge automatisieren. Apple arbeitet angeblich daran, dass die App mit natürlicher Sprache bedient werden kann.

@… You mean, once one user on an instance can see a post, every user can?
You would have to trust that “followers only” is respected, but that’s also true for everything else. Creators on Patreon trust that I don’t forward the emails to others, or give them read-only access to my mailbox.

(YouTube) From blindness to cyber brilliance, from "seeing with sound" to securing cyberspace, the journey of Pranav Lal, congenitally blind user of The vOICe vision BCI in India https://www.youtube.com/watch?v=aWlVKDpZ6hU

This https://arxiv.org/abs/2406.02463 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy
Online advertising is a cornerstone of the Internet ecosystem, with advertising measurement playing a crucial role in optimizing efficiency. Ad measurement entails attributing desired behaviors, such as purchases, to ad exposures across various platforms, necessitating the collection of user activities across these platforms. As this practice faces increasing restrictions due to rising privacy concerns, safeguarding user privacy in this context is imperative. Our work is the first to formulate …

Join the second edition of the OpenSearch User Group Berlin. Learn about OpenSearch Project and Eliatra, get the latest news from the projects and meet the community over some drinks & snacks. 
📅 When: June 18, 2025 – 6.30 pm
📍 Where: Automat Berlin Gmbh, Schöneberger Ufer 65 | 10785 Berlin
Register now:

OpenSearch Project Berlin 2nd meetup, Wed, Jun 18, 2025, 6:30 PM | Meetup
Hi Everyone, we are very excited to announce our OpenSearch Project Berlin 2nd meetup on **Wednesday June 18th** **Agenda** 6:30pm Start (Drinks and snacks will be provide

Rydberg Atomic Quantum MIMO Receivers for The Multi-User Uplink
Tierui Gong, Chau Yuen, Chong Meng Samson See, M\'erouane Debbah, Lajos Hanzo
https://arxiv.org/abs/2506.01355 …

Rydberg Atomic Quantum MIMO Receivers for The Multi-User Uplink
Rydberg atomic quantum receivers (RAQRs) have emerged as a promising solution for evolving wireless receivers from the classical to the quantum domain. To further unleash their great potential in wireless communications, we propose a flexible architecture for Rydberg atomic quantum multiple-input multiple-output (RAQ-MIMO) receivers in the multi-user uplink. Then the corresponding signal model of the RAQ-MIMO system is constructed by paving the way from quantum physics to classical wireless com…

“As design ethicist Aral Balkan explains: ‘Dark patterns might boost short-term metrics, but they ultimately corrode trust and damage brand reputation. Ethical design creates sustainable relationships rather than one-time transactions.’”
https://ui-deploy.com/blog/e…

Ethical Dark Patterns: Identifying and Avoiding Manipulative Design
Learn to identify and avoid manipulative dark patterns in favor of ethical design that builds long-term user trust.

This https://arxiv.org/abs/2505.21907 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy
AI copilots, context-aware, AI-powered systems designed to assist users in tasks such as software development and content creation, are becoming integral to modern workflows. As these systems grow in capability and adoption, personalization has emerged as a cornerstone for ensuring usability, trust, and productivity. Central to this personalization is preference optimization: the ability of AI copilots to detect, interpret, and align with individual user preferences. While personalization techn…

Researchers say tactics used to make AI more engaging, like making them more agreeable, can make chatbots reinforce harmful ideas, like encouraging drug use (Nitasha Tiku/Washington Post)

Your chatbot friend might be messing with your mind
OpenAI, Meta and others want people to spend more time with AI chatbots, but there is growing evidence that they can hook users or reinforce harmful ideas.

5G RAN Slicing with Load Balanced Handovers
Yongzhou Chen, Muhammad Taimoor Tariq, Haitham Hassanieh, Radhika Mittal
https://arxiv.org/abs/2505.24295 https…

5G RAN Slicing with Load Balanced Handovers
With increasing density of small cells in modern multi-cell deployments, a given user can have multiple options for its serving cell. The serving cell for each user must be carefully chosen such that the user achieves reasonably high channel quality from it, and the load on each cell is well balanced. It is relatively straightforward to reason about this without slicing, where all users can share a global load balancing criteria set by the network operator. In this paper, we identify the unique…

Breaker: Removing Shortcut Cues with User Clustering for Single-slot Recommendation System
Chao Wang, Yue Zheng, Yujing Zhang, Yan Feng, Zhe Wang, Xiaowei Shi, An You, Yu Chen
https://arxiv.org/abs/2506.00828

Breaker: Removing Shortcut Cues with User Clustering for Single-slot Recommendation System
In a single-slot recommendation system, users are only exposed to one item at a time, and the system cannot collect user feedback on multiple items simultaneously. Therefore, only pointwise modeling solutions can be adopted, focusing solely on modeling the likelihood of clicks or conversions for items by users to learn user-item preferences, without the ability to capture the ranking information among different items directly. However, since user-side information is often much more abundant tha…

anybeat: Anybeat social network (2013)
A snapshot of the Anybeat online social network from 2013, before it was shut down. Nodes are users and links represent friendships. The edge direction (i, j) denotes the user i follows user j.
This network has 12645 nodes and 67053 edges.
Tags: Social, Online, Unweighted
https://ne…

Bottom-Up Perspectives on AI Governance: Insights from User Reviews of AI Products
Stefan Pasch
https://arxiv.org/abs/2506.00080 https://

Bottom-Up Perspectives on AI Governance: Insights from User Reviews of AI Products
With the growing importance of AI governance, numerous high-level frameworks and principles have been articulated by policymakers, institutions, and expert communities to guide the development and application of AI. While such frameworks offer valuable normative orientation, they may not fully capture the practical concerns of those who interact with AI systems in organizational and operational contexts. To address this gap, this study adopts a bottom-up approach to explore how governance-relev…

$\text{TREX}^2$: Dual-Reconstruction Framework for Teleoperated-Robot with EXtended Reality
Ziliang Zhang, Cong Liu, Hyoseung Kim
https://arxiv.org/abs/2506.01135

$\text{TREX}^2$: Dual-Reconstruction Framework for Teleoperated-Robot with EXtended Reality
Robot teleoperation with extended reality (XR teleoperation) enables intuitive interaction by allowing remote robots to mimic user motions with real-time 3D feedback. However, existing systems face significant motion-to-motion (M2M) latency--the delay between the user's latest motion and the corresponding robot feedback--leading to high teleoperation error and mission completion time. This issue stems from the system's exclusive reliance on network communication, making it highly vulnerable to …

Use cookies in shiny apps: #rstats #shiny

Want super-thorough AI responses by applying deep thought & reasoning AI technology?
Any Microsoft 365 Copilot (Commercial) licensed user can now use the Researcher & Analyst agents at no additional cost! These new agents provide very thorough responses to help you collect FACTS on informational topics & review DATA to derive insights... with human language.
✅ #Researcher

Researcher and Analyst are now generally available | Microsoft 365 Blog
We’re excited to announce the general availability of Researcher and Analyst, two first-of-their-kind reasoning agents designed for work. Learn more.

At the Semantic Digital Humanities 2025 Workshop, Jose Maldonado-Rodríguez is presenting "Natural Language Querying for Humanities #KnowledgeGraphs A case study on the GOLEM KG". Main contribution is a bilingual dataset (English-Spanish) specifically designed to evaluate automatic text-to-SPARQL translation systems for GOLEM, a specialized humanities KG.
paper:

Everybody complaining about getting hammered with #AI traffic seems to think that these are crawlers scraping for training data.
How likely is it that this is a complete misconception and this is all inference time?
Most public companies give their cralwers and RAG agents different user agent strings. But what about security services trawling through their data?

(1/3) Please join me today on Zoom at 12pm ET / 11am CT / 10am MT / 9am PT for "Beyond the Algorithmic Feed," a free MediaEd Club webinar for the Media Education Lab:
https://mediaeducationlab.com/index.php/events/beyond-algorithmic-feed
While som…

Trade-offs in Data Memorization via Strong Data Processing Inequalities
Vitaly Feldman, Guy Kornowski, Xin Lyu
https://arxiv.org/abs/2506.01855 https://

Trade-offs in Data Memorization via Strong Data Processing Inequalities
Recent research demonstrated that training large language models involves memorization of a significant fraction of training data. Such memorization can lead to privacy violations when training on sensitive user data and thus motivates the study of data memorization's role in learning. In this work, we develop a general approach for proving lower bounds on excess data memorization, that relies on a new connection between strong data processing inequalities and data memorization. We then demonst…

Brazil is piloting dWallet, a digital wallet program that allows users to monetize their data, the first nationwide initiative of its kind in the world (Gabriel Daros/Rest of World)
https://restofworld.org/2025/brazil-dwallet-user-data-pilot/

In a world first, Brazilians will soon be able to sell their digital data
Brazil is piloting dWallet, that lets citizens earn money from their data, but experts warn it could deepen inequality.

If any fysh.org users are following, yes, it's currently down.
1. We had another slew of memory errors caught in the last hour.
2. I initiated an emergency reboot to see if that cleared them.
3. It failed on boot on first attempt, kernel panic.
4. After a reset it came up, including running the user-visible VMs (river etc), but is still logging a slew of memory errors.
5. So I've now shutdown the VMs again.
We'll be poking the service provider to s…

@… Eine Frage zu den Funktionen von #Mastodon. Gibt es Ideen oder Pläne, dass man eigene #Listen veröffentlichen kann, damit andere User diesen Listen folgen können ?

CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions
Tamer Alkhouli, Katerina Margatina, James Gung, Raphael Shu, Claudia Zaghi, Monica Sunkara, Yi Zhang
https://arxiv.org/abs/2506.01859

CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions
We introduce Conversational Function-Calling Evaluation Through Turn-Level Interactions (CONFETTI), a conversational benchmark1 designed to evaluate the function-calling capabilities and response quality of large language models (LLMs). Current benchmarks lack comprehensive assessment of LLMs in complex conversational scenarios. CONFETTI addresses this gap through 109 human-simulated conversations, comprising 313 user turns and covering 86 APIs. These conversations explicitly target various con…

This https://arxiv.org/abs/2504.12885 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Optimizing Movable Antennas in Wideband Multi-User MIMO With Hardware Impairments
Movable antennas represent an emerging field in telecommunication research and a potential approach to achieving higher data rates in multiple-input multiple-output (MIMO) communications when the total number of antennas is limited. Most solutions and analyses to date have been limited to \emph{narrowband} setups. This work complements the prior studies by quantifying the benefit of using movable antennas in \emph{wideband} MIMO communication systems. First, we derive a novel uplink wideband sy…

This https://arxiv.org/abs/2310.14843 has been replaced.
link: https://scholar.google.com/scholar?q=a

NoCodeGPT: A No-Code Interface for Building Web Apps with Language Models
In this paper, we first report an exploratory study where three participants were instructed to use ChatGPT to implement a simple Web-based application. A key finding of this study revealed that ChatGPT does not offer a user-friendly interface for building applications, even small web systems. For example, one participant with limited experience in software development was unable to complete any of the proposed user stories. Then, and as the primary contribution of this work, we decided to desi…

Advancing Digital Accessibility: Integrating AR/VR and Health Tech for Inclusive Healthcare Solutions
Vishnu Ramineni, Shivareddy Devarapalli, Balakrishna Pothineni, Prema Kumar Veerapaneni, Aditya Gupta, Pankaj Gupta
https://arxiv.org/abs/2505.24039

Advancing Digital Accessibility: Integrating AR/VR and Health Tech for Inclusive Healthcare Solutions
Modern healthcare domain incorporates a feature of digital accessibility to ensure seamless flow of online services for the patients. However, this feature of digital accessibility poses a challenge particularly for patients with disabilities. To eradicate this issue and provide immersive and user-friendly experiences, evolving technologies like Augmented Reality (AR) and Virtual Reality (VR) are integrated in medical applications to enhance accessibility. The present research paper aims to stu…

This https://arxiv.org/abs/2505.18882 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach
Large language models (LLMs) typically generate identical or similar responses for all users given the same prompt, posing serious safety risks in high-stakes applications where user vulnerabilities differ widely. Existing safety evaluations primarily rely on context-independent metrics - such as factuality, bias, or toxicity - overlooking the fact that the same response may carry divergent risks depending on the user's background or condition. We introduce personalized safety to fill this gap …

This https://arxiv.org/abs/2311.00388 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
Sequential recommender systems (SRS) have gained increasing popularity due to their remarkable proficiency in capturing dynamic user preferences. In the current setup of SRS, a common configuration is to uniformly consider each historical behavior as a positive interaction. However, this setting has the potential to yield sub-optimal performance as each individual item often have a different impact on shaping the user's interests. Hence, in this paper, we propose a novel automatic sampling fram…

Related: modal dialogs confirming destructive operations are a sign your UI is not good. Operations should be reversible so that the user can simply undo mistakes, not be interrupted in a failing effort to prevent them.

Migrated the homelab authenitcation from Authelia to Pocket ID. Fantastic user experience and *so* much easier to configure.
#homelab

Pocket ID

In-the-wild Audio Spatialization with Flexible Text-guided Localization
Tianrui Pan, Jie Liu, Zewen Huang, Jie Tang, Gangshan Wu
https://arxiv.org/abs/2506.00927

In-the-wild Audio Spatialization with Flexible Text-guided Localization
To enhance immersive experiences, binaural audio offers spatial awareness of sounding objects in AR, VR, and embodied AI applications. While existing audio spatialization methods can generally map any available monaural audio to binaural audio signals, they often lack the flexible and interactive control needed in complex multi-object user-interactive environments. To address this, we propose a Text-guided Audio Spatialization (TAS) framework that utilizes flexible text prompts and evaluates ou…

This https://arxiv.org/abs/2410.12201 has been replaced.
link: https://scholar.google.com/scholar?q=a

Data-light Uncertainty Set Merging with Admissibility: Synthetics, Aggregation, and Test Inversion
This article introduces a Synthetics, Aggregation, and Test inversion (SAT) approach for merging diverse and potentially dependent uncertainty sets into a single unified set. The procedure is data-light, relying only on initial sets and control levels, and it adapts to any user-specified initial uncertainty sets, accommodating potentially varying coverage levels. SAT is motivated by the challenge of integrating uncertainty sets when only the initial sets and their control levels are available -…

edit_wiktionary: Wiktionary edits (2010)
Three bipartite user-page networks extracted from Wiktionary, for French, German, and English. A user connects to a page if that user edited that page. Edits (edges) are timestamped. Edge weights represent counts of the number of edits.
This network has 16439 nodes and 120851 edges.
Tags: Informational, Web graph, Multigraph, Timestamps

eduGAIN is expanding across Africa! 🌍
Five new countries: 🇹🇬 Togo, 🇧🇫 Burkina Faso, 🇲🇼 Malawi, 🇬🇭 Ghana, and 🇹🇿 Tanzania have joined, bringing the total on the continent to 14. 🎉
At the heart of this progress is eduID.africa (by UbuntuNet Alliance & WACREN under #AfricaConnect3), and now more researchers and students can now access global services with one trusted identity.

Five new African members join eduGAIN! | GÉANT CONNECT Online
Today, online services are crucial for research and education. These can be for e-learning, teaching and conferencing, scientific collaboration, analysing and sharing data, accessing journals and libraries. Access to these resources is usually controlled with a user name and password. As the number and variety of services expand, often being delivered by service providers outside

This https://arxiv.org/abs/2305.11943 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Public versus Less-Public News Engagement on Facebook: Patterns Across Bias and Reliability
The rapid growth of social media as a news platform has raised significant concerns about the influence and societal impact of biased and unreliable news on these platforms. While much research has explored user engagement with news on platforms like Facebook, most studies have focused on publicly shared posts. This focus leaves an important question unanswered: how representative is the public sphere of Facebook's entire ecosystem? Specifically, how much of the interactions occur in less-publi…

This https://arxiv.org/abs/2412.03621 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNI_…

JPPO++: Joint Power and Denoising-inspired Prompt Optimization for Mobile LLM Services
Large Language Models (LLMs) are increasingly integrated into mobile services over wireless networks to support complex user requests. This trend has led to longer prompts, which improve LLMs' performance but increase data transmission costs and require more processing time, thereby reducing overall system efficiency and negatively impacting user experience. To address these challenges, we propose Joint Prompt and Power Optimization (JPPO), a framework that jointly optimizes prompt compression …

Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism
Jinhui Wei, Ye Huang, Yuhui Zhou, Jiazhi Jiang, Jiangsu Du
https://arxiv.org/abs/2505.23219

Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism
In-situ LLM inference on end-user devices has gained significant interest due to its privacy benefits and reduced dependency on external infrastructure. However, as the decoding process is memory-bandwidth-bound, the diverse processing units in modern end-user devices cannot be fully exploited, resulting in slow LLM inference. This paper presents Ghidorah, a LLM inference system for end-user devices with the unified memory architecture. The key idea of Ghidorah can be summarized in two steps: 1…

I've seen several requests to create a setting to hide the dropdown bar in #Jellyfin for #Roku.
I don't like this idea for a few reasons.
1. It permanently hides functionality
2. It permanently hides information
The dropdowns are how we let you know what filters ar…

#TIL you can pick a View to Make it Change here: https://www.reddit.com/r/changemyview/wiki/user/destro23/

This https://arxiv.org/abs/2501.12261 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCG_…

A Framework for the Design of Efficient Diversification Algorithms to NP-Hard Problems
There has been considerable recent interest in computing a diverse collection of solutions to a given optimization problem, both in the AI and theory communities. Given a classical optimization problem $Π$ (e.g., spanning tree, minimum cuts, maximum matching, minimum vertex cover) with input size $n$ and an integer $k\geq 1$, the goal is to generate a collection of $k$ maximally diverse solutions to $Π$. This diverse-X paradigm not only allows the user to generate very different solutions, bu…

Heute vor 46 Jahren: Am 31. Mai 1979 führten die #UDSSR in Degelen, Semipalatinsk, Kazakhstan den 519. #Atomtest durch (4 Simultantests). Er diente der Waffenentwicklung und fand unterirdisch (Tunnel/Schacht) statt. 1979 fanden in der UDSSR insgesamt 31 Atomtests statt.

Quick #CSS tip: If you unset all styles of a button with `all: unset`, don’t forget to re-add all the styles you need, like `box-sizing: border-box` or focus styles, which previously might have been coming from a rule with lower specificity (*) or the user agent stylesheet.

“i need everyone in the white house press pool to ask karoline leavitt if the president thinks joe biden is a clone or a robot. he can’t be both! we need to know which one he thinks it is.” https://bsky.app/profile/socialistdogmom.bsky.social/post/3lqj7isldfs2y…

WHEN TO ACT, WHEN TO WAIT: Modeling Structural Trajectories for Intent Triggerability in Task-Oriented Dialogue
Yaoyao Qian, Jindan Huang, Yuanli Wang, Simon Yu, Kyrie Zhixuan Zhou, Jiayuan Mao, Mingfu Liang, Hanhan Zhou
https://arxiv.org/abs/2506.01881

WHEN TO ACT, WHEN TO WAIT: Modeling Structural Trajectories for Intent Triggerability in Task-Oriented Dialogue
Task-oriented dialogue systems often face difficulties when user utterances seem semantically complete but lack necessary structural information for appropriate system action. This arises because users frequently do not fully understand their own needs, while systems require precise intent definitions. Current LLM-based agents cannot effectively distinguish between linguistically complete and contextually triggerable expressions, lacking frameworks for collaborative intent formation. We present…

When a user identifies a potential accessibility challenge in your CSS endeavor, the response should not be, “have you considered a user stylesheet?”
Don’t be do dismissive.

This https://arxiv.org/abs/2502.06976 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csMA_…

Who is Helping Whom? Analyzing Inter-dependencies to Evaluate Cooperation in Human-AI Teaming
State-of-the-art methods for Human-AI Teaming and Zero-shot Cooperation focus on task completion, i.e., task rewards, as the sole evaluation metric while being agnostic to how the two agents work with each other. Furthermore, subjective user studies only offer limited insight into the quality of cooperation existing within the team. Specifically, we are interested in understanding the cooperative behaviors arising within the team when trained agents are paired with humans -- a problem that has …

This https://arxiv.org/abs/2205.10538 has been replaced.
link: https://scholar.google.com/scholar?q=a

Automated machine learning: AI-driven decision making in business analytics
The realization that AI-driven decision-making is indispensable in today's fast-paced and ultra-competitive marketplace has raised interest in industrial machine learning (ML) applications significantly. The current demand for analytics experts vastly exceeds the supply. One solution to this problem is to increase the user-friendliness of ML frameworks to make them more accessible for the non-expert. Automated machine learning (AutoML) is an attempt to solve the problem of expertise by providin…

This https://arxiv.org/abs/2405.14979 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csGR_…

CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner
We present a novel generative 3D modeling system, coined CraftsMan, which can generate high-fidelity 3D geometries with highly varied shapes, regular mesh topologies, and detailed surfaces, and, notably, allows for refining the geometry in an interactive manner. Despite the significant advancements in 3D generation, existing methods still struggle with lengthy optimization processes, irregular mesh topologies, noisy surfaces, and difficulties in accommodating user edits, consequently impeding t…

#Wordle 1,443 6/6*
⬜🟩🟩⬜⬜ <1% of 214,772 (26)
⬜🟩🟩⬜🟩 13% of 8 (3)
⬜🟩🟩⬜🟩 <1% of 2,846 (3)
⬜🟩🟩🟩🟩 13% of 2,851 (2)
⬜🟩🟩🟩🟩 34% of 769 (1)
🟩🟩🟩🟩🟩 95% of 1,442
WordleBot
Skill 75/99
Luck 50/99
Well that was close. I don't think there were any other words to try...oops I see, user error on 3rd guess, and then yes my last guess was the only word left.

petster: Pet owner social networks (2016)
A network of friendships among users on catster.com and dogster.com. Node represents a user, and edge exists if two users self-identify as friends on either website. The dogster/catster network also contains family links between dog and dog, cat and cat, as well as dog and cat.
This network has 623766 nodes and 15699276 edges.
Tags: Social, Online, Unweighted

Digital Forensic Investigation of the ChatGPT Windows Application
Malithi Wanniarachchi Kankanamge, Nick McKenna, Santiago Carmona, Syed Mhamudul Hasan, Abdur R. Shahid, Ahmed Imteaj
https://arxiv.org/abs/2505.23938

Digital Forensic Investigation of the ChatGPT Windows Application
The ChatGPT Windows application offers better user interaction in the Windows operating system (OS) by enhancing productivity and streamlining the workflow of ChatGPT's utilization. However, there are potential misuses associated with this application that require rigorous forensic analysis. This study presents a holistic forensic analysis of the ChatGPT Windows application, focusing on identifying and recovering digital artifacts for investigative purposes. With the use of widely popular and o…

Ja ne, klar… dies ist bestimmt eine ungewollte Lücke und die User müssen nur… wer ist nun schuldig, ChatGPT oder Microsoft oder beide erst hinter den Usern?!
»Sicherheitslücke – Warum ChatGPT oft den gesamten Onedrive-Ordner lesen kann:
Forscher warnen vor einer Sicherheitslücke in Microsofts File Picker für Onedrive. Apps wie ChatGPT können weitaus mehr lesen, als Anwender erwarten.«
🙄

Sicherheitslücke: Warum ChatGPT oft den gesamten Onedrive-Ordner lesen kann - Golem.de
Forscher warnen vor einer Sicherheitslücke in Microsofts File Picker für Onedrive. Apps wie ChatGPT können weitaus mehr lesen, als Anwender erwarten.

Spending Behavior and Economic Impacts of Urban Digital Consumption Vouchers
Ming-Huan Liou, Shou-Yung Yin, Hsiang-Wen Mao
https://arxiv.org/abs/2506.01385

Spending Behavior and Economic Impacts of Urban Digital Consumption Vouchers
This paper evaluates the Taipei Bear Vouchers 2.0 program using verified user-level survey data and a regional input-output model to assess the effectiveness of consumption vouchers as a fiscal stimulus tool. We focus on three key behavioral mechanisms: expenditure substitution, induced consumption, and the intensity of treatment through varying voucher face values. Our findings show that voucher effectiveness differs by type. Accommodation vouchers stimulate the most additional spending due to…

YEARNING!
comic source: @…
#rats

> As the Court weighs how to restore competition in the search market, Mozilla is asking it to seriously consider the unintended consequences of some of the proposed remedies, which, if adopted, could harm browser competition, weaken user choice and undermine the open web.
This should be called a Mozilla syndrome!

The future of the web depends on getting this right | The Mozilla Blog
The remedies phase of the U.S. v. Google LLC search case wrapped up last week. As the Court weighs how to restore competition in the search market, Mozilla

Apples Vision Pro: US-Zeitung sammelt Stimmen enttäuschter User
Bald ist die Vision Pro anderthalb Jahre auf dem Markt – und der Formfaktor sorgt noch immer für Kopf- und Nackenschmerzen, schreibt das Wall Street Journal.

Bridging Subjective and Objective QoE: Operator-Level Aggregation Using LLM-Based Comment Analysis and Network MOS Comparison
Parsa Hassani Shariat Panahi, Amir Hossein Jalilvand, M. Hasan Najafi
https://arxiv.org/abs/2506.00924

Bridging Subjective and Objective QoE: Operator-Level Aggregation Using LLM-Based Comment Analysis and Network MOS Comparison
This paper introduces a dual-layer framework for network operator-side quality of experience (QoE) assessment that integrates both objective network modeling and subjective user perception extracted from live-streaming platforms. On the objective side, we develop a machine learning model trained on mean opinion scores (MOS) computed via the ITU-T P.1203 reference implementation, allowing accurate prediction of user-perceived video quality using only network parameters such as packet loss, delay…

WikiGap: Promoting Epistemic Equity by Surfacing Knowledge Gaps Between English Wikipedia and other Language Editions
Zining Wang, Yuxuan Zhang, Dongwook Yoon, Nicholas Vincent, Farhan Samir, Vered Shwartz
https://arxiv.org/abs/2505.24195

WikiGap: Promoting Epistemic Equity by Surfacing Knowledge Gaps Between English Wikipedia and other Language Editions
With more than 11 times as many pageviews as the next, English Wikipedia dominates global knowledge access relative to other language editions. Readers are prone to assuming English Wikipedia as a superset of all language editions, leading many to prefer it even when their primary language is not English. Other language editions, however, comprise complementary facts rooted in their respective cultures and media environments, which are marginalized in English Wikipedia. While Wikipedia's user i…

slashdot_threads: Slashdot thread replies (2007)
A network of replies among users of the website Slashdot on the various discussion threads on the site. Nodes are user accounts and each directed edge represents a reply from user i to user j. Replies are timestamped.
This network has 51083 nodes and 140778 edges.
Tags: Social, Communication, Unweighted, Multigraph, Timestamps

This https://arxiv.org/abs/2502.05808 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Positioning-Aided Channel Estimation for Multi-LEO Satellite Cooperative Communications
We investigate a multi-low Earth orbit (LEO) satellite system that simultaneously provides positioning and communication services to terrestrial user terminals. To address the challenges of channel estimation in LEO satellite systems, we propose a novel two-timescale positioning-aided channel estimation framework, exploiting the distinct variation rates of position-related parameters and channel gains inherent in LEO satellite channels. Using the misspecified Cramér-Rao bound (MCRB) theory, we…

CoP: Agentic Red-teaming for Large Language Models using Composition of Principles
Chen Xiong, Pin-Yu Chen, Tsung-Yi Ho
https://arxiv.org/abs/2506.00781 ht…

CoP: Agentic Red-teaming for Large Language Models using Composition of Principles
Recent advances in Large Language Models (LLMs) have spurred transformative applications in various domains, ranging from open-source to proprietary LLMs. However, jailbreak attacks, which aim to break safety alignment and user compliance by tricking the target LLMs into answering harmful and risky responses, are becoming an urgent concern. The practice of red-teaming for LLMs is to proactively explore potential risks and error-prone instances before the release of frontier AI technology. This …

slashdot_threads: Slashdot thread replies (2007)
A network of replies among users of the website Slashdot on the various discussion threads on the site. Nodes are user accounts and each directed edge represents a reply from user i to user j. Replies are timestamped.
This network has 51083 nodes and 140778 edges.
Tags: Social, Communication, Unweighted, Multigraph, Timestamps

System Prompt Extraction Attacks and Defenses in Large Language Models
Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
https://arxiv.org/abs/2505.23817 https…

System Prompt Extraction Attacks and Defenses in Large Language Models
The system prompt in Large Language Models (LLMs) plays a pivotal role in guiding model behavior and response generation. Often containing private configuration details, user roles, and operational instructions, the system prompt has become an emerging attack target. Recent studies have shown that LLM system prompts are highly susceptible to extraction attacks through meticulously designed queries, raising significant privacy and security concerns. Despite the growing threat, there is a lack of…

This https://arxiv.org/abs/2501.18160 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing
Code auditing is the process of reviewing code with the aim of identifying bugs. Large Language Models (LLMs) have demonstrated promising capabilities for this task without requiring compilation, while also supporting user-friendly customization. However, auditing a code repository with LLMs poses significant challenges: limited context windows and hallucinations can degrade the quality of bug reports, and analyzing large-scale repositories incurs substantial time and token costs, hindering eff…

Bridging the Gap Between Semantic and User Preference Spaces for Multi-modal Music Representation Learning
Xiaofeng Pan, Jing Chen, Haitong Zhang, Menglin Xing, Jiayi Wei, Xuefeng Mu, Zhongqian Xie
https://arxiv.org/abs/2505.23298

Bridging the Gap Between Semantic and User Preference Spaces for Multi-modal Music Representation Learning
Recent works of music representation learning mainly focus on learning acoustic music representations with unlabeled audios or further attempt to acquire multi-modal music representations with scarce annotated audio-text pairs. They either ignore the language semantics or rely on labeled audio datasets that are difficult and expensive to create. Moreover, merely modeling semantic space usually fails to achieve satisfactory performance on music recommendation tasks since the user preference spac…

Heute vor 51 Jahren: Am 31. Mai 1974 führten die #UDSSR in Balapan, Semipalatinsk, Kazakhstan den 400. #Atomtest durch. Er diente der Forschung und fand unterirdisch (Tunnel/Schacht) statt. 1974 fanden in der UDSSR insgesamt 21 Atomtests statt.

wiki_talk: Wikipedia talk networks
Interactions among users of 10 language-specific Wikipedias: Arabic, Chinese, Dutch, English, French, German, Italian, Portuguese, Russian, and Spanish. Nodes are registered wiki editors, and an edge represents a user i having written a message on user j's talk page. Edges are timestamped. The precise dates of the snapshots are uncertain.
This network has 41424 nodes and 73900 edges.
Tags: Social, Communication, Unweighted, Multigraph,…

SafeCOMM: What about Safety Alignment in Fine-Tuned Telecom Large Language Models?
Aladin Djuhera, Swanand Ravindra Kadhe, Farhan Ahmed, Syed Zawad, Holger Boche, Walid Saad
https://arxiv.org/abs/2506.00062

SafeCOMM: What about Safety Alignment in Fine-Tuned Telecom Large Language Models?
Fine-tuning large language models (LLMs) for telecom tasks and datasets is a common practice to adapt general-purpose models to the telecom domain. However, little attention has been paid to how this process may compromise model safety. Recent research has shown that even benign fine-tuning can degrade the safety alignment of LLMs, causing them to respond to harmful or unethical user queries. In this paper, we investigate this issue for telecom-tuned LLMs using three representative datasets fea…

This https://arxiv.org/abs/2308.15651 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Ensuring User-side Fairness in Dynamic Recommender Systems
User-side group fairness is crucial for modern recommender systems, aiming to alleviate performance disparities among user groups defined by sensitive attributes like gender, race, or age. In the ever-evolving landscape of user-item interactions, continual adaptation to newly collected data is crucial for recommender systems to stay aligned with the latest user preferences. However, we observe that such continual adaptation often exacerbates performance disparities. This necessitates a thorough…

Scalable Association of Users in CF-mMIMO: A Synergy of Communication, Sensing, and JCAS
Ahmed Naeem, Anastassia Gharib, El Mehdi Amhoud, H\"useyin Arslan
https://arxiv.org/abs/2506.01060

Scalable Association of Users in CF-mMIMO: A Synergy of Communication, Sensing, and JCAS
Cell-free massive multiple-input multiple-output (CF-mMIMO) is a key enabler for the sixth generation (6G) networks, offering unprecedented spectral efficiency and ubiquitous coverage. In CF-mMIMO systems, the association of user equipments (UEs) to access points (APs) is a critical challenge, as it directly impacts network scalability, interference management, and overall system performance. Conventional association methods primarily focus on optimizing communication performance. However, with…

This https://arxiv.org/abs/2505.23655 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Keyed Chaotic Tensor Transformations for Secure And Attributable Neural Inference
This work introduces a novel framework for secure and privacy-preserving neural network inference based on keyed chaotic dynamical transformations. The proposed method applies a deterministic, cryptographically seeded chaotic system to tensors, producing non-invertible, user-specific transformations that enable authenticated inference, tensor-level watermarking, and data attribution. This framework offers a scalable and lightweight alternative to conventional cryptographic techniques, and estab…

TESTQUEST: A Web Gamification Tool to Improve Locators and Page Objects Quality
Dario Olianas, Diego Clerissi, Maurizio Leotta, Filippo Ricca
https://arxiv.org/abs/2505.24756

TESTQUEST: A Web Gamification Tool to Improve Locators and Page Objects Quality
Web applications play a crucial role in our daily lives, making it essential to employ testing methods that ensure their quality. Typically, Web testing automation frameworks rely on locators to interact with the graphical user interface, acting as connection points to the elements on a Web page. Nevertheless, locators are widely recognized as a major vulnerability in Web testing, as they are highly sensitive to the frequent changes in Web page structures caused by rapid software evolution. The…

This https://arxiv.org/abs/2502.10570 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Quantifying the Impact of Motion on 2D Gaze Estimation in Real-World Mobile Interactions
Mobile gaze tracking involves inferring a user's gaze point or direction on a mobile device's screen from facial images captured by the device's front camera. While this technology inspires an increasing number of gaze-interaction applications, achieving consistent accuracy remains challenging due to dynamic user-device spatial relationships and varied motion conditions inherent in mobile contexts. This paper provides empirical evidence on how user mobility and behaviour affect mobile gaze trac…

Enabling Scalable Distributed Beamforming via Networked LEO Satellites Towards 6G
Yuchen Zhang Seungnyun Kim, Tareq Y. Al-Naffouri
https://arxiv.org/abs/2506.01382

Enabling Scalable Distributed Beamforming via Networked LEO Satellites Towards 6G
In this paper, we propose scalable distributed beamforming schemes over low Earth orbit (LEO) satellite networks that rely solely on statistical channel state information for downlink orthogonal frequency division multiplexing systems. We begin by introducing the system model and presenting a pragmatic yet effective analog beamformer and user-scheduling design. We then derive a closed-form lower bound on the ergodic sum rate, based on the hardening bound, for the digital beamformer design. Next…

SPAC: A Python Package for Spatial Single-Cell Analysis of Multiplex Imaging
Fang Liu, Rui He, Andrei Bombin, Ahmad B. Abdallah, Omar Eldaghar, Tommy R. Sheeley, Sam E. Ying, George Zaki
https://arxiv.org/abs/2506.01560

SPAC: A Python Package for Spatial Single-Cell Analysis of Multiplex Imaging
Multiplexed immunofluorescence microscopy captures detailed measurements of spatially resolved, multiple biomarkers simultaneously, revealing tissue composition and cellular interactions in situ among single cells. The growing scale and dimensional complexity of these datasets demand reproducible, comprehensive and user-friendly computational tools. To address this need, we developed SPAC (SPAtial single-Cell analysis), a Python-based package and a corresponding shiny application within an inte…

jester: Jester joke ratings (2001)
Two bipartite networks of users and jokes, extracted from the online joke recommender system Jester. A user connects to all jokes for which that user entered a rating. Edge weights give the rating score, scaled from -10 to 10. The two files differ by how many joke nodes are included, 100 or 150.
This network has 73521 nodes and 4136360 edges.
Tags: Economic, Preferences, Weighted

"Haus der gestohlenen iPhones": Wie in China geklaute Handys verkauft werden
In Shenzhen nahe Hongkong gibt es einen Ort, der sich auf die professionelle Vermarktung von iPhones aus Diebstählen spezialisiert hat. User können wenig tun.

Bridging the Gap: From Ad-hoc to Proactive Search in Conversations
Chuan Meng, Francesco Tonolini, Fengran Mo, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai
https://arxiv.org/abs/2506.00983

Bridging the Gap: From Ad-hoc to Proactive Search in Conversations
Proactive search in conversations (PSC) aims to reduce user effort in formulating explicit queries by proactively retrieving useful relevant information given conversational context. Previous work in PSC either directly uses this context as input to off-the-shelf ad-hoc retrievers or further fine-tunes them on PSC data. However, ad-hoc retrievers are pre-trained on short and concise queries, while the PSC input is longer and noisier. This input mismatch between ad-hoc search and PSC limits retr…

jester: Jester joke ratings (2001)
Two bipartite networks of users and jokes, extracted from the online joke recommender system Jester. A user connects to all jokes for which that user entered a rating. Edge weights give the rating score, scaled from -10 to 10. The two files differ by how many joke nodes are included, 100 or 150.
This network has 73521 nodes and 4136360 edges.
Tags: Economic, Preferences, Weighted

An Integrated Platform for LEED Certification Automation Using Computer Vision and LLM-RAG
Jooyeol Lee
https://arxiv.org/abs/2506.00888 https://

An Integrated Platform for LEED Certification Automation Using Computer Vision and LLM-RAG
The Leadership in Energy and Environmental Design (LEED) certification process is characterized by labor-intensive requirements for data handling, simulation, and documentation. This paper presents an automated platform designed to streamline key aspects of LEED certification. The platform integrates a PySide6-based user interface, a review Manager for process orchestration, and multiple analysis engines for credit compliance, energy modeling via EnergyPlus, and location-based evaluation. Key c…

Generative Next POI Recommendation with Semantic ID
Dongsheng Wang, Yuxi Huang, Shen Gao, Yifan Wang, Chengrui Huang, Shuo Shang
https://arxiv.org/abs/2506.01375

Generative Next POI Recommendation with Semantic ID
Point-of-interest (POI) recommendation systems aim to predict the next destinations of user based on their preferences and historical check-ins. Existing generative POI recommendation methods usually employ random numeric IDs for POIs, limiting the ability to model semantic relationships between similar locations. In this paper, we propose Generative Next POI Recommendation with Semantic ID (GNPR-SID), an LLM-based POI recommendation model with a novel semantic POI ID (SID) representation metho…

This https://arxiv.org/abs/2505.23516 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

The CASE Framework -- A New Architecture for Participatory Research and Digital Health Surveillance
We present the CASE framework, an open-source platform for adaptive, context-aware participatory research, and pandemic preparedness. CASE implements an event-driven architecture that enables dynamic survey workflows, allowing real-time adaptation based on participant responses, external data, temporal conditions, and evolving user states. The framework supports a broad range of research needs, from simple one-time questionnaires to complex longitudinal studies with advanced conditional logic. …

This https://arxiv.org/abs/2405.20710 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

i$^2$VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation
Cross-Domain Sequential Recommendation (CDSR) leverages user behaviors across multiple domains to mitigate data sparsity and cold-start challenges in Single-Domain Sequential Recommendation. Existing methods primarily rely on shared users (overlapping users) to learn transferable interest representations. However, these approaches have limited information propagation, benefiting mainly overlapping users and those with rich interaction histories while neglecting non-overlapping (cold-start) and …

This https://arxiv.org/abs/2503.07010 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

ProjectEval: A Benchmark for Programming Agents Automated Evaluation on Project-Level Code Generation
Recently, LLM agents have made rapid progress in improving their programming capabilities. However, existing benchmarks lack the ability to automatically evaluate from users' perspective, and also lack the explainability of the results of LLM agents' code generation capabilities. Thus, we introduce ProjectEval, a new benchmark for LLM agents project-level code generation's automated evaluation by simulating user interaction. ProjectEval is constructed by LLM with human reviewing. It has three d…

google_plus: Google (2013)
Snapshot of connections among users of Google , collected in 2012. Nodes are users and a directed edge (i,j) represents user i added user j to i's circle.
This network has 211187 nodes and 1506896 edges.
Tags: Social, Online, Unweighted
https://networks.skewed.de/net/google_

This https://arxiv.org/abs/2505.22238 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Yambda-5B -- A Large-Scale Multi-modal Dataset for Ranking And Retrieval
We present Yambda-5B, a large-scale open dataset sourced from the Yandex.Music streaming platform. Yambda-5B contains 4.79 billion user-item interactions from 1 million users across 9.39 million tracks. The dataset includes two primary types of interactions: implicit feedback (listening events) and explicit feedback (likes, dislikes, unlikes and undislikes). In addition, we provide audio embeddings for most tracks, generated by a convolutional neural network trained on audio spectrograms. A key…

google_plus: Google (2013)
Snapshot of connections among users of Google , collected in 2012. Nodes are users and a directed edge (i,j) represents user i added user j to i's circle.
This network has 211187 nodes and 1506896 edges.
Tags: Social, Online, Unweighted
https://networks.skewed.de/net/google_

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR
Dayoon Ko, Jinyoung Kim, Sohyeon Kim, Jinhyuk Kim, Jaehoon Lee, Seonghak Song, Minyoung Lee, Gunhee Kim
https://arxiv.org/abs/2506.01877

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR
Dense retrievers encode texts into embeddings to efficiently retrieve relevant documents from large databases in response to user queries. However, real-world corpora continually evolve, leading to a shift from the original training distribution of the retriever. Without timely updates or retraining, indexing newly emerging documents can degrade retrieval performance for future queries. Thus, identifying when a dense retriever requires an update is critical for maintaining robust retrieval syst…

This https://arxiv.org/abs/2412.19302 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

RecLM: Recommendation Instruction Tuning
Modern recommender systems aim to deeply understand users' complex preferences through their past interactions. While deep collaborative filtering approaches using Graph Neural Networks (GNNs) excel at capturing user-item relationships, their effectiveness is limited when handling sparse data or zero-shot scenarios, primarily due to constraints in ID-based embedding functions. To address these challenges, we propose a model-agnostic recommendation instruction-tuning paradigm that seamlessly int…

This https://arxiv.org/abs/2410.21801 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

PerSRV: Personalized Sticker Retrieval with Vision-Language Model
Instant Messaging is a popular means for daily communication, allowing users to send text and stickers. As the saying goes, "a picture is worth a thousand words", so developing an effective sticker retrieval technique is crucial for enhancing user experience. However, existing sticker retrieval methods rely on labeled data to interpret stickers, and general-purpose Vision-Language Models (VLMs) often struggle to capture the unique semantics of stickers. Additionally, relevant-based sticker retr…

SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
Yinghui Liu, Hao Miao, Guojiang Shen, Yan Zhao, Xiangjie Kong, Ivan Lee
https://arxiv.org/abs/2506.01705

SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
Out-of-town trip recommendation aims to generate a sequence of Points of Interest (POIs) for users traveling from their hometowns to previously unvisited regions based on personalized itineraries, e.g., origin, destination, and trip duration. Modeling the complex user preferences--which often exhibit a two-fold nature of static and dynamic interests--is critical for effective recommendations. However, the sparsity of out-of-town check-in data presents significant challenges in capturing such us…

baseball: Baseball steroid use (2008)
Two networks representing steroid use among baseball players. First, a bipartite network of players and their steroid providers (of illegal performance-enhancing substances). Second, a one-mode projection of players, which are linked if they have a common supplier.
This network has 84 nodes and 84 edges.
Tags: Social, Offline, Weighted, Projection

baseball: Baseball steroid use (2008)
Two networks representing steroid use among baseball players. First, a bipartite network of players and their steroid providers (of illegal performance-enhancing substances). Second, a one-mode projection of players, which are linked if they have a common supplier.
This network has 84 nodes and 84 edges.
Tags: Social, Offline, Weighted, Projection

This https://arxiv.org/abs/2505.09795 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Beyond Pairwise Learning-To-Rank At Airbnb
There are three fundamental asks from a ranking algorithm: it should scale to handle a large number of items, sort items accurately by their utility, and impose a total order on the items for logical consistency. But here's the catch-no algorithm can achieve all three at the same time. We call this limitation the SAT theorem for ranking algorithms. Given the dilemma, how can we design a practical system that meets user needs? Our current work at Airbnb provides an answer, with a working solutio…

This https://arxiv.org/abs/2505.22649 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Pre-training for Recommendation Unlearning
Modern recommender systems powered by Graph Neural Networks (GNNs) excel at modeling complex user-item interactions, yet increasingly face scenarios requiring selective forgetting of training data. Beyond user requests to remove specific interactions due to privacy concerns or preference changes, regulatory frameworks mandate recommender systems' ability to eliminate the influence of certain user data from models. This recommendation unlearning challenge presents unique difficulties as removing…