Tootfinder

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

My guess here at a distance is that it’s a terrible mistake to think of “Harvard” as a single anthropomorphic entity with a single mind. There are surely terrible internal battles raging at Harvard right now: between those who think it’s truly for education and those who think it’s truly for ROI, between those protecting the dollars and those protecting the brand reputation, between those cowering at the short-term financial risk of angering an authoritarian and those who see the long-term risks of capitulating.
What does “Harvard” think? Harvard is a bunch of different people. I wish them luck, and wisdom. Heaven knows they’ll need it.
/end

PGMEL: Policy Gradient-based Generative Adversarial Network for Multimodal Entity Linking
KM Pooja, Cheng Long, Aixin Sun
https://arxiv.org/abs/2510.02726 https://

PGMEL: Policy Gradient-based Generative Adversarial Network for Multimodal Entity Linking
The task of entity linking, which involves associating mentions with their respective entities in a knowledge graph, has received significant attention due to its numerous potential applications. Recently, various multimodal entity linking (MEL) techniques have been proposed, targeted to learn comprehensive embeddings by leveraging both text and vision modalities. The selection of high-quality negative samples can potentially play a crucial role in metric/representation learning. However, to th…

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

President Trump says Netflix's planned acquisition of WBD will have "to go through a process", as it would create an entity with "a lot of market share" (Bloomberg)
https://www.bloomberg.com/news/articles/2025-12…

So this is percolating and the results so far are not surprising.
I'd vote NO, for the following reasons:
- oil demand continues to decline and risk is high we'll end up with an expensive underutilized pipeline. Therefore high risk we'll end up subsidizing any private entity that builds this thing.
- why would we invest public dollars to support infrastructure for a product where 75% of the profit leaves Canada? There has to be a net benefit, beyond steel sales and jobs, for this project to be considered.
- Indigenous land rights must be respected. They will be left with the rusting pipeline decades in the future, and it's impact on the land.
- the B.C. government must also have a final vote as they have to give up land and provide support.
- we don't need additional oil tankers on our west coast.
- and most importantly, with this MOU, Canada pretty much declared we aren't serious about protecting the environment or fighting climate change. We're oil whores. Harsh but....
#CanPoli #ClimateAction

In Canada, the CBC might be the kind of entity to help run / coordinate “public service social media” as described in this Tech Policy Press article https://www.techpolicy.press/public-service-social-media-as-a-democratic-safeguard/
With interop…

This CSO letter submitted today has a single #China/#HongKong entity, China Labour Bulletin.
Which self-dissolved in mid-2025...
https://foejapan.org/en/issue/20251205/27117/

Call for the Suspension of Irresponsible Nickel Development in Palawan, the Philippines — More Than a Decade Without Effective Environmental Measures, Leaving Community Rights at Risk — International Petition (8,411 Signatories from 36 Countries; 90 Organizations from 40 Countries) Submitted to Sumitomo Metal Mining | Friends of the Earth Japan
Ahead of Human Rights Day on December 10, an international petition calling for the suspe...

President Trump says Netflix's planned acquisition of WBD will have "to go through a process", as it would create an entity with "a lot of market share" (Bloomberg)
https://www.bloomberg.com/news/articles/2025-12…

NERVIS: An Interactive System for Graph-Based Exploration and Editing of Named Entities
Uro\v{s} \v{S}majdek, Ciril Bohak
https://arxiv.org/abs/2510.04971 https://

NERVIS: An Interactive System for Graph-Based Exploration and Editing of Named Entities
We present an interactive visualization system for exploring named entities and their relationships across document collections. The system is designed around a graph-based representation that integrates three types of nodes: documents, entity mentions, and entities. Connections capture two key relationship types: (i) identical entities across contexts, and (ii) co-locations of mentions within documents. Multiple coordinated views enable users to examine entity occurrences, discover clusters of…

Full-Duplex-Bench-v2: A Multi-Turn Evaluation Framework for Duplex Dialogue Systems with an Automated Examiner
Guan-Ting Lin, Shih-Yun Shan Kuan, Jiatong Shi, Kai-Wei Chang, Siddhant Arora, Shinji Watanabe, Hung-yi Lee
https://arxiv.org/abs/2510.07838

Full-Duplex-Bench-v2: A Multi-Turn Evaluation Framework for Duplex Dialogue Systems with an Automated Examiner
While full-duplex speech agents enable natural, low-latency interaction by speaking and listening simultaneously, their consistency and task performance in multi-turn settings remain underexplored. We introduce Full-Duplex-Bench-v2 (FDB-v2), a streaming framework that integrates with an automated examiner that enforces staged goals under two pacing setups (Fast vs. Slow). FDB-v2 covers four task families: daily, correction, entity tracking, and safety. We report turn-taking fluency, multi-turn …

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- FastER: On-Demand Entity Resolution in Property Graphs
Wang, Zhao, Miao, Kwashie, Bewong, Hu, Nofong, Feng
…

The retreat of US military from Europe is long overdue and a blessing in disguise, Europe should be able to defend itself without the help of the US in the future. NATO should be replaced by an European defence entity.
#eu #defence

"Archaeologists: D.C. Capitol May Once Have Been Used For Legislating"

@… TIL:
<https://en.wikipedia.org/wiki/Jumping_the_shark>
＂… a creative work or entity has evolved and reached a point in which it has exh…

FusionAdapter for Few-Shot Relation Learning in Multimodal Knowledge Graphs
Ran Liu, Yuan Fang, Xiaoli Li
https://arxiv.org/abs/2510.00894 https://arxiv.or…

FusionAdapter for Few-Shot Relation Learning in Multimodal Knowledge Graphs
Multimodal Knowledge Graphs (MMKGs) incorporate various modalities, including text and images, to enhance entity and relation representations. Notably, different modalities for the same entity often present complementary and diverse information. However, existing MMKG methods primarily align modalities into a shared space, which tends to overlook the distinct contributions of specific modalities, limiting their performance particularly in low-resource settings. To address this challenge, we pro…

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

“What we seem to have here is yet another instance of a massive corporate entity capitulating to the emperor’s wishes in advance, but this one is particularly frustrating because there is less for the average consumer like you and me to do about it.” https://apple.news/AIOs-uVO9S62q7E2-cg0v2A

hardware iceberg, near the top:
- nobody can implement I2C in hardware (except for Philips)
- SPI doesn't exist as a coherent entity
- UART has a CDR loop but you don't think of it that way
- MSP430 "JTAG" 🦋

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

Alt5 Sigma accumulated $1.5 billion of World Liberty Financial cryptocurrency in August as part of a circular deal that routed more than an estimated $500 million to an entity affiliated with President Donald Trump
Public companies, like Alt5 Sigma, must notify the SEC within four business days when their independent accountant resigns, and their accountant must reviewany interim financial statements included in a quarterly report.
Alt5 Sigma told the SEC on Black Friday its indep…

Trump Crypto Partner Alt5 Sigma May Have Violated SEC Rules After Another Filing Discrepancy
Alt5 Sigma told regulators its accountant resigned in November, while he says he notified the company three months earlier.

The Netflix-WBD deal should quiet concerns, for now, from CNN employees worried about the prospect of Paramount combining CBS News and CNN in a WBD acquisition (John Koblin/New York Times)
https://www.nytimes.com/2025/12/05/business/media/cnn-net…

CNN Is Excluded From Netflix’s Warner Bros. Deal for Now
The prospect of Paramount’s buying Warner Bros. Discovery had led CNN journalists to wonder if the channel may be combined with CBS News. Instead, CNN will remain in a separate corporate entity.

🇺🇦 #NowPlaying on KEXP's #VarietyMix
DJ Trace:
🎵 Lost Entity (Harmony Remix)
#DJTrace
#newRelease 🆕 single
https://deepjungle.bandcamp.com/track/dj-trace-lost-entity-london-side
https://open.spotify.com/track/4m1Ttkc0YGnEWy3HYUjvBl

Mah\={a}n\={a}ma: A Unique Testbed for Literary Entity Discovery and Linking
Sujoy Sarkar, Gourav Sarkar, Manoj Balaji Jagadeeshan, Jivnesh Sandhan, Amrith Krishna, Pawan Goyal
https://arxiv.org/abs/2509.19844

Mahānāma: A Unique Testbed for Literary Entity Discovery and Linking
High lexical variation, ambiguous references, and long-range dependencies make entity resolution in literary texts particularly challenging. We present Mahānāma, the first large-scale dataset for end-to-end Entity Discovery and Linking (EDL) in Sanskrit, a morphologically rich and under-resourced language. Derived from the Mahābhārata, the world's longest epic, the dataset comprises over 109K named entity mentions mapped to 5.5K unique entities, and is aligned with an English knowledge base…

Feds allege Bolton mishandled classified info and was hacked by "foreign entity" (Dave Lawler/Axios)
https://www.axios.com/2025/09/12/fbi-bolton-hack-foreign-entity-documents-probe
http://www.memeorandum.com/250912/p136#a250912p136

BNP Paribas says it is joining nine other European banks including ING, UniCredit, and CaixaBank developing a euro-pegged stablecoin in a JV called Qivalis (CoinDesk)
https://www.coindesk.com/business/2025/12/02/bnp…

On Multi-entity, Multivariate Quickest Change Point Detection
Bahar Kor, Bipin Gaikwad, Abani Patra, Eric L. Miller
https://arxiv.org/abs/2509.18310 https://

On Multi-entity, Multivariate Quickest Change Point Detection
We propose a framework for online Change Point Detection (CPD) from multi-entity, multivariate time series data, motivated by applications in crowd monitoring where traditional sensing methods (e.g., video surveillance) may be infeasible. Our approach addresses the challenge of detecting system-wide behavioral shifts in complex, dynamic environments where the number and behavior of individual entities may be uncertain or evolve. We introduce the concept of Individual Deviation from Normality (I…

Optimal Control Meets Flow Matching: A Principled Route to Multi-Subject Fidelity
Eric Tillmann Bill, Enis Simsar, Thomas Hofmann
https://arxiv.org/abs/2510.02315 https://

Optimal Control Meets Flow Matching: A Principled Route to Multi-Subject Fidelity
Text-to-image (T2I) models excel on single-entity prompts but struggle with multi-subject descriptions, often showing attribute leakage, identity entanglement, and subject omissions. We introduce the first theoretical framework with a principled, optimizable objective for steering sampling dynamics toward multi-subject fidelity. Viewing flow matching (FM) through stochastic optimal control (SOC), we formulate subject disentanglement as control over a trained FM sampler. This yields two architec…

Can LLMs Hit Moving Targets? Tracking Evolving Signals in Corporate Disclosures
Chanyeol Choi, Jihoon Kwon, Minjae Kim
https://arxiv.org/abs/2510.03195 https://

Can LLMs Hit Moving Targets? Tracking Evolving Signals in Corporate Disclosures
Moving targets -- managers' strategic shifting of key performance metrics when the original targets become difficult to achieve -- have been shown to predict subsequent stock underperformance. However, our work reveals that the method employed in that study exhibits two key limitations that hinder the accuracy -- noise in the extracted targets and loss of contextual information -- both of which stem primarily from the use of a named entity recognition (NER). To address these two limitations, we…

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

FusionAdapter for Few-Shot Relation Learning in Multimodal Knowledge Graphs
Ran Liu, Yuan Fang, Xiaoli Li
https://arxiv.org/abs/2510.00894 https://arxiv.or…

FusionAdapter for Few-Shot Relation Learning in Multimodal Knowledge Graphs
Multimodal Knowledge Graphs (MMKGs) incorporate various modalities, including text and images, to enhance entity and relation representations. Notably, different modalities for the same entity often present complementary and diverse information. However, existing MMKG methods primarily align modalities into a shared space, which tends to overlook the distinct contributions of specific modalities, limiting their performance particularly in low-resource settings. To address this challenge, we pro…

QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Ranking
Shubham Chatterjee, Jeff Dalton
https://arxiv.org/abs/2510.11589 https://

QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Ranking
Neural IR has advanced through two distinct paths: entity-oriented approaches leveraging knowledge graphs and multi-vector models capturing fine-grained semantics. We introduce QDER, a neural re-ranking model that unifies these approaches by integrating knowledge graph semantics into a multi-vector model. QDER's key innovation lies in its modeling of query-document relationships: rather than computing similarity scores on aggregated embeddings, we maintain individual token and entity representa…

Researchers find Predator spyware is being used in several countries, including Iraq https://therecord.media/intellexa-predator-spyware-continues-despite-sanctions

SecureBERT 2.0: Advanced Language Model for Cybersecurity Intelligence
Ehsan Aghaei, Sarthak Jain, Prashanth Arun, Arjun Sambamoorthy
https://arxiv.org/abs/2510.00240 https://…

SecureBERT 2.0: Advanced Language Model for Cybersecurity Intelligence
Effective analysis of cybersecurity and threat intelligence data demands language models that can interpret specialized terminology, complex document structures, and the interdependence of natural language and source code. Encoder-only transformer architectures provide efficient and robust representations that support critical tasks such as semantic search, technical entity extraction, and semantic analysis, which are key to automated threat detection, incident triage, and vulnerability assessm…

Oh you thought the ordeal of being perceived was mortifying? Wait 'till you try being perceived by a state.
As its bureaucratic gaze lingers through the entrails of your medical, financial, scholastic, and social records, a deep disquiet oozes through your brain upon consideration of the labyrinthine antagonisms it may—or may not—inflict upon you. In service only to Capital, this entity has bequeathed immeasurable portions of suffering and death to those it threatens to protect, let alone to its ever-multiplying enemies, and now it is your turn to be found wanting, for in its incessant mechanical hunger, wanting is all that the state can conceive of.
#horror #capitalism #nationalism

Japanese memory chipmaker Kioxia's stock falls 14% after a Bain Capital-backed entity sold $2.1B worth of shares at a discount, stoking AI valuation concerns (Bloomberg)
https://www.bloomberg.com/news/articles/2025-11-26…

Chipmaker Kioxia Sinks After Bain-Backed Firm Discloses Selloff
Kioxia Holdings Corp.’s shares dived more than 14% after a Bain Capital-backed entity unloaded $2.1 billion of shares in the Japanese memory chipmaker at a discount, stoking concerns about the lofty valuations of global AI-related firms.

GenCNER: A Generative Framework for Continual Named Entity Recognition
Yawen Yang, Fukun Ma, Shiao Meng, Aiwei Liu, Lijie Wen
https://arxiv.org/abs/2510.11444 https://

GenCNER: A Generative Framework for Continual Named Entity Recognition
Traditional named entity recognition (NER) aims to identify text mentions into pre-defined entity types. Continual Named Entity Recognition (CNER) is introduced since entity categories are continuously increasing in various real-world scenarios. However, existing continual learning (CL) methods for NER face challenges of catastrophic forgetting and semantic shift of non-entity type. In this paper, we propose GenCNER, a simple but effective Generative framework for CNER to mitigate the above dra…

Oracle, which already provides computing resources for TikTok, would lead “data and privacy” for the new entity.
White House Outlines a TikTok Deal With a U.S. Board
https://www.nytimes.com/2025/09/20/technology/white-house-tiktok-deal.html

White House Outlines a TikTok Deal With a U.S. Board
A potential deal to reduce TikTok’s ties to China would give the app a new board with six American directors out of seven, the White House press secretary said.

RANGER -- Repository-Level Agent for Graph-Enhanced Retrieval
Pratik Shah, Rajat Ghosh, Aryan Singhal, Debojyoti Dutta
https://arxiv.org/abs/2509.25257 https://

RANGER -- Repository-Level Agent for Graph-Enhanced Retrieval
General-purpose automated software engineering (ASE) includes tasks such as code completion, retrieval, repair, QA, and summarization. These tasks require a code retrieval system that can handle specific queries about code entities, or code entity queries (for example, locating a specific class or retrieving the dependencies of a function), as well as general queries without explicit code entities, or natural language queries (for example, describing a task and retrieving the corresponding code…

Enhancing Credit Risk Prediction: A Meta-Learning Framework Integrating Baseline Models, LASSO, and ECOC for Superior Accuracy
Haibo Wang, Lutfu S. Sua, Jun Huang, Figen Balo, Burak Dolar
https://arxiv.org/abs/2509.22381

Enhancing Credit Risk Prediction: A Meta-Learning Framework Integrating Baseline Models, LASSO, and ECOC for Superior Accuracy
Effective credit risk management is fundamental to financial decision-making, necessitating robust models for default probability prediction and financial entity classification. Traditional machine learning approaches face significant challenges when confronted with high-dimensional data, limited interpretability, rare event detection, and multi-class imbalance problems in risk assessment. This research proposes a comprehensive meta-learning framework that synthesizes multiple complementary mod…

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

"The Metro is alive. It breathes, it listens, it waits. It is not just tunnels and darkness, but a living, breathing entity that holds the souls of those who walk it and reveals truths only to those who are willing to see."
-- Сердар Искандеров
#MetroLastLight #Metro2033

https://www.stirworld.com/think-opinions-remaking-the-chinese-garden-a-contemporary-architectural-dilemma

Remaking the Chinese Garden: a contemporary architectural dilemma
The Chinese garden is not just a single, independent entity built for crafting landscapes or modelling nature itself, it is a lexicon of symbols, layered upon built reality.

Not actually the behaviour I'd expected: when adding URLs from #reconciliation results in #openrefine "URLs" actually means (page) URLs, not the entity URIs which I'd assumed would be the thing one usually wants to have. When reconciling, I usually want to create a li…

The strikes on the Venezuelan boats
-- allegedly carrying "narcotics"
-- which the administration has claimed were necessary because interdiction "did not work,"
have been orchestrated through the homeland security council (HSC)
-- which Stephen Miller leads
as the homeland security adviser.
Miller empowered the HSC earlier this year to become its own entity in Donald Trump’s second term
-- a notable departure from previous administ…

Transformer-Gather, Fuzzy-Reconsider: A Scalable Hybrid Framework for Entity Resolution
Mohammadreza Sharifi, Danial Ahmadzadeh
https://arxiv.org/abs/2509.17470 https://

Transformer-Gather, Fuzzy-Reconsider: A Scalable Hybrid Framework for Entity Resolution
Entity resolution plays a significant role in enterprise systems where data integrity must be rigorously maintained. Traditional methods often struggle with handling noisy data or semantic understanding, while modern methods suffer from computational costs or the excessive need for parallel computation. In this study, we introduce a scalable hybrid framework, which is designed to address several important problems, including scalability, noise robustness, and reliable results. We utilized a pre…

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

Human-Annotated NER Dataset for the Kyrgyz Language
Timur Turatali, Anton Alekseev, Gulira Jumalieva, Gulnara Kabaeva, Sergey Nikolenko
https://arxiv.org/abs/2509.19109 https://…

Got this email and thought, "Ha that is a scam. There is no way that the real Paypal would provide a link to update to login and card details!" 🤣
I mean they are a well known entity, with a well known domain, they can just tell you to do it. It's not like you don't know the URL.
But no, that is exactly what they have done. 🤯
P.S. Paypal, yes I know but sometimes it is the only way to pay. 😢

White House says TikTok's new US entity would lease a copy of ByteDance's algorithm, which Oracle would retrain; US users wouldn't need to re-download the app (Axios)
https://www.axios.com/2025/09/22/tiktok-bytedance-trump-algorithm-lease

Inside Trump's deal to save TikTok
TikTok's new U.S. entity would lease its algorithm from Chinese owner ByteDance.

White House says TikTok's new US entity would lease a copy of the algorithm from ByteDance, which Oracle would retrain; users won't need to re-download the app (Axios)
https://www.axios.com/2025/09/22/tiktok-bytedance-trump-algorithm-lease

Inside Trump's deal to save TikTok
TikTok's new U.S. entity would lease its algorithm from Chinese owner ByteDance.

"The Securing American Funding and Expertise from Adversarial Research Exploitation (SAFE) Act would deny federal funding to any U.S. scientist who collaborates with anyone “affiliated with a hostile foreign entity,” a category that includes four countries: China, Russia, Iran, and North Korea. The prohibited activities would include joint research, co-authorship on papers, and advising a foreign graduate student or postdoctoral fellow. The language is retroactive, meaning any interactions during the previous 5 years could make a scientist ineligible for future federal funding."
https://www.science.org/content/article/u-s-congress-considers-sweeping-ban-chinese-collaborations

D-party congress critters ought to begin drafting bills to dismantle DHS.
DHS, including its highly nazi-flavored name, was constructed by a Congress and president (bush) who were terrified after 9/11.
It is time to pull the pieces of DHS apart, retaining some parts, deleting other parts (such as ICE), and reshaping the rest.
There is a rule of thumb that suggests that if one wants to re-form an entity to change its internal culture that no more than 10% of the staff should…

I could have written "maybe we rely a bit too much on these giant server farms owned by a single entity?" but I like the more silly and less serious approach to the discussion.
Beside, writing it here I'm just preaching the quire. So we might have some fun meanwhile!

It was a challenging week for Americans that strongly assert that organisations enforcing their own standards to supress speech cannot be censorship, even if that action is as a result of backroom coercion from a more powerful entity that may or may not be a government.

Mastodon announced fiscal sponsorship via WE AID,
a German nonprofit organisation that supports charitable projects within an established legal framework.
This partnership offers donors
tax-deductible contributions in Germany
and ensures verified integrity through WE AID’s oversight.
It also enables Mastodon to operate as a nonprofit entity,
strengthening the commitment to a user-first, community-driven platform,
free from algorithmic manipulation an…

Mastodon Joins Forces with WE AID
We're partnering with WE AID as our fiscal sponsor for donations in Europe.

Trustworthy Semantic Communication for Vehicular Networks: Challenges and Solutions
Yanghe Pan, Yuntao Wang, Shaolong Guo, Chengyu Yin, Ruidong Li, Zhou Su, Yuan Wu
https://arxiv.org/abs/2509.20830

Trustworthy Semantic Communication for Vehicular Networks: Challenges and Solutions
Semantic communication (SemCom) has the potential to significantly reduce communication delay in vehicle-to-everything (V2X) communications within vehicular networks (VNs). However, the deployment of vehicular SemCom networks (VN-SemComNets) faces critical trust challenges in information transmission, semantic encoding, and communication entity reliability. This paper proposes an innovative three-layer trustworthy VN-SemComNet architecture. Specifically, we introduce a semantic camouflage trans…

Model-Based Ranking of Source Languages for Zero-Shot Cross-Lingual Transfer
Abteen Ebrahimi, Adam Wiemerslage, Katharina von der Wense
https://arxiv.org/abs/2510.03202 https://…

Model-Based Ranking of Source Languages for Zero-Shot Cross-Lingual Transfer
We present NN-Rank, an algorithm for ranking source languages for cross-lingual transfer, which leverages hidden representations from multilingual models and unlabeled target-language data. We experiment with two pretrained multilingual models and two tasks: part-of-speech tagging (POS) and named entity recognition (NER). We consider 51 source languages and evaluate on 56 and 72 target languages for POS and NER, respectively. When using in-domain data, NN-Rank beats state-of-the-art baselines t…

Sources: Saudi Arabia's PIF is the largest contributor to the $36B in equity used to finance the EA deal; it will roll over its $5B EA stake into the new entity (Bloomberg)
https://www.bloomberg.com/news/articles/2025-09-29/s…

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

Ground-Based Radar Tracking of Near-Earth Objects With VLBI Radio Telescopes: 2024 MK Test Case
Oliver White, Guifr\'e Molera Calv\'es, Shinji Horiuchi, Ed Kruzins, Edwin Peters, Nick Stacy
https://arxiv.org/abs/2509.15684

Ground-Based Radar Tracking of Near-Earth Objects With VLBI Radio Telescopes: 2024 MK Test Case
The Southern Hemisphere Asteroid Research Project is an active and informal entity comprising the University of New South Wales, the University of Tasmania, the University of Western Australia, and the Curtin University, which performs asteroid research in collaboration with federal agencies, including the Commonwealth Scientific and Industrial Research Organisation and the National Aeronautics and Space Administration (JPL). Since 2015, we have used the Australian infrastructure to characteriz…

Replaced article(s) found for cs.PL. https://arxiv.org/list/cs.PL/new
[1/1]:
- Exploring the Theory and Practice of Concurrency in the Entity-Component-System Pattern
Patrick Redmond, Jonathan Castello, Jos\'e Manuel Calder\'on Trilla, Lindsey Kuper

REGENT: Relevance-Guided Attention for Entity-Aware Multi-Vector Neural Re-Ranking
Shubham Chatterjee
https://arxiv.org/abs/2510.11592 https://arxiv.org/pd…

REGENT: Relevance-Guided Attention for Entity-Aware Multi-Vector Neural Re-Ranking
Current neural re-rankers often struggle with complex information needs and long, content-rich documents. The fundamental issue is not computational--it is intelligent content selection: identifying what matters in lengthy, multi-faceted texts. While humans naturally anchor their understanding around key entities and concepts, neural models process text within rigid token windows, treating all interactions as equally important and missing critical semantic signals. We introduce REGENT, a neural…

Mastodon announced fiscal sponsorship via WE AID,
a German nonprofit organisation that supports charitable projects within an established legal framework.
This partnership offers donors
tax-deductible contributions in Germany
and ensures verified integrity through WE AID’s oversight.
It also enables Mastodon to operate as a nonprofit entity,
strengthening the commitment to a user-first,
community-driven platform,
free from algorithmic manipul…

Mastodon Joins Forces with WE AID
We're partnering with WE AID as our fiscal sponsor for donations in Europe.

The US Commerce Department says subsidiaries of entity list companies would also be subject to trade restrictions, threatening Chinese companies, from Tuesday (Amrith Ramkumar/Wall Street Journal)
https://www.

InfoAgent: Advancing Autonomous Information-Seeking Agents
Gongrui Zhang, Jialiang Zhu, Ruiqi Yang, Kai Qiu, Miaosen Zhang, Zhirong Wu, Qi Dai, Bei Liu, Chong Luo, Zhengyuan Yang, Linjie Li, Lijuan Wang, Weizhu Chen, Yuan Zhang, Xin Li, Zhaoyi Liu, Xin Geng, Baining Guo
https://arxiv.org/abs/2509.25189…

InfoAgent: Advancing Autonomous Information-Seeking Agents
Building Large Language Model agents that expand their capabilities by interacting with external tools represents a new frontier in AI research and applications. In this paper, we introduce InfoAgent, a deep research agent powered by an innovative data synthesis pipeline and orchestrated web search tools. To construct challenging, hard-to-find queries,we build entity trees and apply sub-tree sampling with entity fuzzification to systematically increase question difficulty. Unlike prior work tha…

I made the mistake of reading the comments here on a story about Charlie Kirk yesterday. I like Mastodon because it's not owned by a single entity. I made the mistake of assuming my other values would therefore be shared by those here. But there was a disturbing number who apparently condone murder. I cannot do that.

EcphoryRAG: Re-Imagining Knowledge-Graph RAG via Human Associative Memory
Zirui Liao
https://arxiv.org/abs/2510.08958 https://arxiv.org/pdf/2510.08958

EcphoryRAG: Re-Imagining Knowledge-Graph RAG via Human Associative Memory
Cognitive neuroscience research indicates that humans leverage cues to activate entity-centered memory traces (engrams) for complex, multi-hop recollection. Inspired by this mechanism, we introduce EcphoryRAG, an entity-centric knowledge graph RAG framework. During indexing, EcphoryRAG extracts and stores only core entities with corresponding metadata, a lightweight approach that reduces token consumption by up to 94\% compared to other structured RAG systems. For retrieval, the system first ex…

Dynamic Span Interaction and Graph-Aware Memory for Entity-Level Sentiment Classification
Md. Mithun Hossain, Sanjara, Md. Shakil Hossain, Sudipto Chaki
https://arxiv.org/abs/2509.11604

Dynamic Span Interaction and Graph-Aware Memory for Entity-Level Sentiment Classification
Entity-level sentiment classification involves identifying the sentiment polarity linked to specific entities within text. This task poses several challenges: effectively modeling the subtle and complex interactions between entities and their surrounding sentiment expressions; capturing dependencies that may span across sentences; and ensuring consistent sentiment predictions for multiple mentions of the same entity through coreference resolution. Additionally, linguistic phenomena such as nega…

Sources: data integration company Fivetran is in talks to acquire data management company dbt Labs in a deal valuing the combined entity at between $5B and $10B (The Information)
https://www.theinformation.com/articles/data-startup-fi…

Data Startup Fivetran In Talks to Buy Dbt Labs in Multibillion Dollar Deal
Fivetran, a startup used by companies to manage and prepare data for analytics and artificial intelligence, is in talks to buy data management companydbt Labs, according to people with direct knowledge of the deal. The deal would combine two data companies that are facing competition from ...

BIBERT-Pipe on Biomedical Nested Named Entity Linking at BioASQ 2025
Chunyu Li, Xindi Zheng, Siqi Liu
https://arxiv.org/abs/2509.09725 https://arxiv.org/pd…

BIBERT-Pipe on Biomedical Nested Named Entity Linking at BioASQ 2025
Entity linking (EL) for biomedical text is typically benchmarked on English-only corpora with flat mentions, leaving the more realistic scenario of nested and multilingual mentions largely unexplored. We present our system for the BioNNE 2025 Multilingual Biomedical Nested Named Entity Linking shared task (English & Russian), closing this gap with a lightweight pipeline that keeps the original EL model intact and modifies only three task-aligned components: Two-stage retrieval-ranking. We lever…

Crosslisted article(s) found for cs.IR. https://arxiv.org/list/cs.IR/new
[1/1]:
- FoodSEM: Large Language Model Specialized in Food Named-Entity Linking
Gjorgjevikj, Martinc, Cenikj, D\v{z}eroski, Seljak, Eftimov

VeilAudit: Breaking the Deadlock Between Privacy and Accountability Across Blockchains
Minhao Qiao, Iqbal Gondal, Hai Dong
https://arxiv.org/abs/2510.12153 https://

VeilAudit: Breaking the Deadlock Between Privacy and Accountability Across Blockchains
Cross chain interoperability in blockchain systems exposes a fundamental tension between user privacy and regulatory accountability. Existing solutions enforce an all or nothing choice between full anonymity and mandatory identity disclosure, which limits adoption in regulated financial settings. We present VeilAudit, a cross chain auditing framework that introduces Auditor Only Linkability, which allows auditors to link transaction behaviors that originate from the same anonymous entity withou…

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

Nothing plans to invest $100M to spin off budget brand CMF into an independent subsidiary, with India as its manufacturing and R&D headquarters (Ivan Mehta/TechCrunch)
https://techcrunch.com/2025/09/24/smartphone-maker-nothing-to-spin-off-…

Smartphone maker Nothing to spin off its affordable CMF brand | TechCrunch
Nothing is making its affordable devices brand CMF into a separate entity with headquarters in India.

Superellipsoid modeling of wire-laser additive manufacturing defects measured by digital image correlation
Khalil Hachem (LURPA), Yann Quinsat (LURPA), Christophe Tournier (LURPA), Nicolas Beraud (G-SCOP)
https://arxiv.org/abs/2509.17545

Superellipsoid modeling of wire-laser additive manufacturing defects measured by digital image correlation
In wire-laser additive manufacturing (WLAM), producing parts with multiple entities requires optimizing both additive and subtractive processes. This involves adjusting positions and integrating machining operations. Geometric defects that occur during the components' deposition can affect subsequent entity production, making real-time measurement crucial. A contactless measuring system is essential to assess geometric deviations without complex post-processing. A comprehensive image stereocorr…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/5]:
- Medical Question Summarization with Entity-driven Contrastive Learning
Wenpeng Lu, Sibo Wei, Xueping Peng, Yi-fei Wang, Usman Naseem, Shoujin Wang

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

The NYDFS grants Bullish a BitLicense, allowing its US entity to offer spot trading and custody services in the state (CoinDesk)
https://www.coindesk.com/policy/2025/09/17/crypto-platform-bullish-wins-new-york-bitlic…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/6]:
- Query Brand Entity Linking in E-Commerce Search
Dong Liu, Sreyashi Nag
https://

British renewable energy startup Octopus Energy spins off its AI arm, Kraken, in what could create a stand-alone entity worth $15B (Yusuf Khan/Wall Street Journal)
https://www.wsj.com/articles/octopus-energy-to-s…

WUGNECTIVES: Novel Entity Inferences of Language Models from Discourse Connectives
Daniel Brubaker, William Sheffield, Junyi Jessy Li, Kanishka Misra
https://arxiv.org/abs/2510.09556

WUGNECTIVES: Novel Entity Inferences of Language Models from Discourse Connectives
The role of world knowledge has been particularly crucial to predict the discourse connective that marks the discourse relation between two arguments, with language models (LMs) being generally successful at this task. We flip this premise in our work, and instead study the inverse problem of understanding whether discourse connectives can inform LMs about the world. To this end, we present WUGNECTIVES, a dataset of 8,880 stimuli that evaluates LMs' inferences about novel entities in contexts w…

ReFineG: Synergizing Small Supervised Models and LLMs for Low-Resource Grounded Multimodal NER
Jielong Tang, Shuang Wang, Zhenxing Wang, Jianxing Yu, Jian Yin
https://arxiv.org/abs/2509.10975

ReFineG: Synergizing Small Supervised Models and LLMs for Low-Resource Grounded Multimodal NER
Grounded Multimodal Named Entity Recognition (GMNER) extends traditional NER by jointly detecting textual mentions and grounding them to visual regions. While existing supervised methods achieve strong performance, they rely on costly multimodal annotations and often underperform in low-resource domains. Multimodal Large Language Models (MLLMs) show strong generalization but suffer from Domain Knowledge Conflict, producing redundant or incorrect mentions for domain-specific entities. To address…

Is 'Hope' a person or an idea? A pilot benchmark for NER: comparing traditional NLP tools and large language models on ambiguous entities
Payam Latifi
https://arxiv.org/abs/2509.12098

Is 'Hope' a person or an idea? A pilot benchmark for NER: comparing traditional NLP tools and large language models on ambiguous entities
This pilot study presents a small-scale but carefully annotated benchmark of Named Entity Recognition (NER) performance across six systems: three non-LLM NLP tools (NLTK, spaCy, Stanza) and three general-purpose large language models (LLMs: Gemini-1.5-flash, DeepSeek-V3, Qwen-3-4B). The dataset contains 119 tokens covering five entity types (PERSON, LOCATION, ORGANIZATION, DATE, TIME). We evaluated each system's output against the manually annotated gold standard dataset using F1-score. The res…

Powering Job Search at Scale: LLM-Enhanced Query Understanding in Job Matching Systems
Ping Liu, Jianqiang Shen, Qianqi Shen, Chunnan Yao, Kevin Kao, Dan Xu, Rajat Arora, Baofen Zheng, Caleb Johnson, Liangjie Hong, Jingwei Wu, Wenjing Zhang
https://arxiv.org/abs/2509.09690

Powering Job Search at Scale: LLM-Enhanced Query Understanding in Job Matching Systems
Query understanding is essential in modern relevance systems, where user queries are often short, ambiguous, and highly context-dependent. Traditional approaches often rely on multiple task-specific Named Entity Recognition models to extract structured facets as seen in job search applications. However, this fragmented architecture is brittle, expensive to maintain, and slow to adapt to evolving taxonomies and language patterns. In this paper, we introduce a unified query understanding framewor…

Query-Centric Graph Retrieval Augmented Generation
Yaxiong Wu, Jianyuan Bo, Yongyue Zhang, Sheng Liang, Yong Liu
https://arxiv.org/abs/2509.21237 https://a…

Query-Centric Graph Retrieval Augmented Generation
Graph-based retrieval-augmented generation (RAG) enriches large language models (LLMs) with external knowledge for long-context understanding and multi-hop reasoning, but existing methods face a granularity dilemma: fine-grained entity-level graphs incur high token costs and lose context, while coarse document-level graphs fail to capture nuanced relations. We introduce QCG-RAG, a query-centric graph RAG framework that enables query-granular indexing and multi-hop chunk retrieval. Our query-cen…

On the Representations of Entities in Auto-regressive Large Language Models
Victor Morand, Josiane Mothe, Benjamin Piwowarski
https://arxiv.org/abs/2510.09421 https://

On the Representations of Entities in Auto-regressive Large Language Models
Named entities are fundamental building blocks of knowledge in text, grounding factual information and structuring relationships within language. Despite their importance, it remains unclear how Large Language Models (LLMs) internally represent entities. Prior research has primarily examined explicit relationships, but little is known about entity representations themselves. We introduce entity mention reconstruction as a novel framework for studying how LLMs encode and manipulate entities. We …

Retrieval over Classification: Integrating Relation Semantics for Multimodal Relation Extraction
Lei Hei, Tingjing Liao, Yingxin Pei, Yiyang Qi, Jiaqi Wang, Ruiting Li, Feiliang Ren
https://arxiv.org/abs/2509.21151

Retrieval over Classification: Integrating Relation Semantics for Multimodal Relation Extraction
Relation extraction (RE) aims to identify semantic relations between entities in unstructured text. Although recent work extends traditional RE to multimodal scenarios, most approaches still adopt classification-based paradigms with fused multimodal features, representing relations as discrete labels. This paradigm has two significant limitations: (1) it overlooks structural constraints like entity types and positional cues, and (2) it lacks semantic expressiveness for fine-grained relation und…

SciEvent: Benchmarking Multi-domain Scientific Event Extraction
Bofu Dong, Pritesh Shah, Sumedh Sonawane, Tiyasha Banerjee, Erin Brady, Xinya Du, Ming Jiang
https://arxiv.org/abs/2509.15620

SciEvent: Benchmarking Multi-domain Scientific Event Extraction
Scientific information extraction (SciIE) has primarily relied on entity-relation extraction in narrow domains, limiting its applicability to interdisciplinary research and struggling to capture the necessary context of scientific information, often resulting in fragmented or conflicting statements. In this paper, we introduce SciEvent, a novel multi-domain benchmark of scientific abstracts annotated via a unified event extraction (EE) schema designed to enable structured and context-aware unde…

Towards Adaptive Context Management for Intelligent Conversational Question Answering
Manoj Madushanka Perera, Adnan Mahmood, Kasun Eranda Wijethilake, Quan Z. Sheng
https://arxiv.org/abs/2509.17829

Towards Adaptive Context Management for Intelligent Conversational Question Answering
This particular paper introduces an Adaptive Context Management (ACM) framework for the Conversational Question Answering (ConvQA) systems. The key objective of the ACM framework is to optimize the use of the conversation history by dynamically managing context for maximizing the relevant information provided to a ConvQA model within its token limit. Our approach incorporates a Context Manager (CM) Module, a Summarization (SM) Module, and an Entity Extraction (EE) Module in a bid to handle the …

HistoryBankQA: Multilingual Temporal Question Answering on Historical Events
Biswadip Mandal, Anant Khandelwal, Manish Gupta
https://arxiv.org/abs/2509.12720 https://

HistoryBankQA: Multilingual Temporal Question Answering on Historical Events
Temporal reasoning about historical events is a critical skill for NLP tasks like event extraction, historical entity linking, temporal question answering, timeline summarization, temporal event clustering and temporal natural language inference. Yet efforts on benchmarking temporal reasoning capabilities of large language models (LLMs) are rather limited. Existing temporal reasoning datasets are limited in scale, lack multilingual coverage and focus more on contemporary events. To address thes…

PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generation
Xiangjun Zai, Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu, Wenjie Zhang
https://arxiv.org/abs/2510.12434

PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generation
Knowledge Hypergraphs (KHs) have recently emerged as a knowledge representation for retrieval-augmented generation (RAG), offering a paradigm to model multi-entity relations into a structured form. However, existing KH-based RAG methods suffer from three major limitations: static retrieval planning, non-adaptive retrieval execution, and superficial use of KH structure and semantics, which constrain their ability to perform effective multi-hop question answering. To overcome these limitations, w…

Automated Evidence Extraction and Scoring for Corporate Climate Policy Engagement: A Multilingual RAG Approach
Imene Kolli, Ario Saeid Vaghefi, Chiara Colesanti Senni, Shantam Raj, Markus Leippold
https://arxiv.org/abs/2509.08907

Automated Evidence Extraction and Scoring for Corporate Climate Policy Engagement: A Multilingual RAG Approach
InfluenceMap's LobbyMap Platform monitors the climate policy engagement of over 500 companies and 250 industry associations, assessing each entity's support or opposition to science-based policy pathways for achieving the Paris Agreement's goal of limiting global warming to 1.5°C. Although InfluenceMap has made progress with automating key elements of the analytical workflow, a significant portion of the assessment remains manual, making it time- and labor-intensive and susceptible to human er…