CompanyAnthropic8 recent entries24 Jun 2026IPO Finance Agent: Evaluation of LLM Financial Analysts beyond Finance Agent v2, with Automated Rubric Generation -- the Case of the SpaceX (SPCX) IPOarXiv:2606.23032v2 Announce Type: replace Abstract: Finance Agent v2 (by Vals AI) has emerged as the reference benchmark for evaluating both Anthropic Claude and OpenAI ChatGPT frontier language model→25 Jun 2026Do Encoders Suffice? A Systematic Comparison of Encoder and Decoder Safety Judges for LLM Adversarial EvaluationarXiv:2606.25782v1 Announce Type: new Abstract: With the widespread adoption of large language models (LLMs) in chatbots and everyday applications, companies increasingly need guardrails that are effe
CompanyOpenAI8 recent entries13 Aug 2026How Organizations Use AI: Evidence from ChatGPTarXiv:2608.12236v1 Announce Type: cross Abstract: We study how organizations use frontier generative AI by linking ChatGPT Enterprise account records to usage, worker roles, task classifications, and →18 Aug 2026Value Leakage: An LLM's Answers Are Silently Shaped by Its Own ValuesarXiv:2607.14345v4 Announce Type: replace-cross Abstract: People use language models for practical questions whose answers are difficult to verify. We show that models exhibit covert value leakage: th→19 Aug 2026Potential of ChatGPT in predicting stock market trends based on Twitter Sentiment AnalysisarXiv:2311.06273v1 Announce Type: cross Abstract: The rise of ChatGPT has brought a notable shift to the AI sector, with its exceptional conversational skills and deep grasp of language. Recognizing i→1 Sept 2026Membership is Ownership: A Robust Ownership Verification Framework for Diffusion ModelsarXiv:2608.28929v1 Announce Type: cross Abstract: Large-scale diffusion models have fueled numerous profitable downstream applications for AI-related businesses, including visual editing and content c→15 Sept 2026SlopShape: Identifying AI-Generated Commercial Web ContentarXiv:2609.15369v1 Announce Type: new Abstract: Word-level detectors identify unedited AI-generated text almost perfectly, but the literature documents their brittleness under rewording, and a word-le→17 Sept 2026'If I Had to Buy Just ONE: Galaxy S26 Ultra': Auditing AI-Generated Product RecommendationsarXiv:2609.18729v1 Announce Type: cross Abstract: Consumers increasingly use AI chatbots for advice on what to buy. With companies like OpenAI and Google monetising their AI through advertising, this →21 Sept 2026TrialAtlas: Multi-Agent Research Organization for Clinical Trial Design and OptimizationarXiv:2609.21859v1 Announce Type: new Abstract: Nearly 90% of drugs entering clinical development ultimately fail, despite billions of dollars in investment. Pharmaceutical companies therefore rely on→5 Oct 2026The AI Risk Observatory: What Can We Learn from AI Disclosures in Annual Reports About Societal Resilience?arXiv:2610.02281v1 Announce Type: new Abstract: Societal resilience research relies on access to useful and actionable data, which motivates our main research question: Can annual reports, processed a
CompanyGoogle8 recent entries9 Jul 2026From Content to Audience: A Multimodal Annotation Framework for Broadcast Television AnalyticsarXiv:2603.26772v2 Announce Type: replace-cross Abstract: Automated semantic annotation of broadcast television content presents distinctive challenges, combining structured audiovisual composition, d→28 Jul 2026Who Gets Named: Citation Type Predicts Individual Naming by Grounded Language Models, and a Roster Instrument Captures 0.5% of ItarXiv:2607.23893v1 Announce Type: cross Abstract: Prior work on AI brand visibility measures the firm: does a model recommend a company, and does that track its reputation. This study asks the questio→3 Aug 2026Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model ReviewarXiv:2607.28631v1 Announce Type: new Abstract: AI Scientist systems capable of autonomous research have the potential to significantly accelerate scientific discovery. However, evaluating and compari→7 Aug 2026AI Playing Business Games: Benchmarking Large Language Models on Managerial Decision-Making in Dynamic SimulationsarXiv:2509.26331v2 Announce Type: replace Abstract: The rapid advancement of LLMs sparked significant interest in their potential to augment or automate managerial functions. One of the most recent tr→3 Sept 2026Beauty is in the AI of the beholder: MLLMs systematically overrate facial attractivenessarXiv:2609.02512v1 Announce Type: new Abstract: Beauty assessments from Multimodal Large Language Models (MLLMs) are increasingly popular amongst users, companies, and aestheticians. This raises the q→10 Sept 2026Alignment Whack-a-Mole : Finetuning Activates Verbatim Recall of Copyrighted Books in Large Language ModelsarXiv:2603.20957v4 Announce Type: replace-cross Abstract: Frontier LLM companies have repeatedly assured courts and regulators that their models do not store copies of training data. They further rely→17 Sept 2026'If I Had to Buy Just ONE: Galaxy S26 Ultra': Auditing AI-Generated Product RecommendationsarXiv:2609.18729v1 Announce Type: cross Abstract: Consumers increasingly use AI chatbots for advice on what to buy. With companies like OpenAI and Google monetising their AI through advertising, this →21 Sept 2026TrialAtlas: Multi-Agent Research Organization for Clinical Trial Design and OptimizationarXiv:2609.21859v1 Announce Type: new Abstract: Nearly 90% of drugs entering clinical development ultimately fail, despite billions of dollars in investment. Pharmaceutical companies therefore rely on
CompanyMeta8 recent entries15 Apr 2026Fully Homomorphic Encryption on Llama 3 model for privacy preserving LLM inferencearXiv:2604.12168v1 Announce Type: cross Abstract: The applications of Generative Artificial Intelligence (GenAI) and their intersections with data-driven fields, such as healthcare, finance, transport→6 May 2026The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligencearXiv:2408.12622v3 Announce Type: replace-cross Abstract: Artificial intelligence (AI) is reshaping society, from video generation to medical diagnosis, coding agents to autonomous vehicles. Yet resea→12 May 2026V4FinBench: Benchmarking Tabular Foundation Models, LLMs, and Standard Methods on Corporate Bankruptcy PredictionarXiv:2605.10896v1 Announce Type: new Abstract: Corporate bankruptcy prediction is a high-stakes financial task characterized by severe class imbalance and multi-horizon forecasting demands. Public da→25 Jun 2026Small edits, large models: How Wikipedia advocacy shapes LLM valuesarXiv:2606.24890v1 Announce Type: new Abstract: Can a small group of volunteers shape how AI systems discuss animal welfare, just by editing Wikipedia? We show that they can. Wikipedia appears in near→9 Jul 2026From Content to Audience: A Multimodal Annotation Framework for Broadcast Television AnalyticsarXiv:2603.26772v2 Announce Type: replace-cross Abstract: Automated semantic annotation of broadcast television content presents distinctive challenges, combining structured audiovisual composition, d→3 Aug 2026Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model ReviewarXiv:2607.28631v1 Announce Type: new Abstract: AI Scientist systems capable of autonomous research have the potential to significantly accelerate scientific discovery. However, evaluating and compari→7 Aug 2026AI Playing Business Games: Benchmarking Large Language Models on Managerial Decision-Making in Dynamic SimulationsarXiv:2509.26331v2 Announce Type: replace Abstract: The rapid advancement of LLMs sparked significant interest in their potential to augment or automate managerial functions. One of the most recent tr→21 Aug 2026Automated Summarization of Financial News Using Large Language Models and Retrieval-Augmented Generation: An Early Empirical Study (Fall 2023)arXiv:2608.19526v1 Announce Type: cross Abstract: Stock market analysts and investors face a daily challenge: too much financial news, too little time. Manually reading and synthesizing hundreds of co
CompanyMistral1 recent entries7 Aug 2026AI Playing Business Games: Benchmarking Large Language Models on Managerial Decision-Making in Dynamic SimulationsarXiv:2509.26331v2 Announce Type: replace Abstract: The rapid advancement of LLMs sparked significant interest in their potential to augment or automate managerial functions. One of the most recent tr
CompanyxAI5 recent entries10 Apr 2026Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of InterestarXiv:2604.08525v1 Announce Type: cross Abstract: Today's large language models (LLMs) are trained to align with user preferences through methods such as reinforcement learning. Yet models are beginni→14 Apr 2026Dynamic Forecasting and Temporal Feature Evolution of Stock Repurchases in Listed Companies Using Attention-Based Deep Temporal NetworksarXiv:2604.09650v1 Announce Type: cross Abstract: Accurately predicting stock repurchases is crucial for quantitative investment and risk management, yet traditional static models fail to capture the →28 Jul 2026Who Gets Named: Citation Type Predicts Individual Naming by Grounded Language Models, and a Roster Instrument Captures 0.5% of ItarXiv:2607.23893v1 Announce Type: cross Abstract: Prior work on AI brand visibility measures the firm: does a model recommend a company, and does that track its reputation. This study asks the questio→7 Aug 2026AI Playing Business Games: Benchmarking Large Language Models on Managerial Decision-Making in Dynamic SimulationsarXiv:2509.26331v2 Announce Type: replace Abstract: The rapid advancement of LLMs sparked significant interest in their potential to augment or automate managerial functions. One of the most recent tr→3 Sept 2026Beauty is in the AI of the beholder: MLLMs systematically overrate facial attractivenessarXiv:2609.02512v1 Announce Type: new Abstract: Beauty assessments from Multimodal Large Language Models (MLLMs) are increasingly popular amongst users, companies, and aestheticians. This raises the q
CompanyDeepSeek6 recent entries1 Jun 2026Learning Whom to Trust: Market-Feedback Adaptive Retrieval for Frozen LLMs in Event-Driven Financial RAGarXiv:2605.31201v1 Announce Type: new Abstract: Financial retrieval-augmented generation (RAG) systems typically rank evidence by textual relevance, but in financial markets the useful evidence source→6 Jun 2026Can LLMs Write Correct TLA+ Specifications? Evaluating Natural-Language-to-TLA+ GenerationarXiv:2606.05792v1 Announce Type: new Abstract: TLA+ has supported industrial verification at companies such as Amazon and Microsoft, yet writing correct TLA+ specifications from natural language stil→10 Jun 2026Instruction Finetuning DeepSeek-R1-8B Model Using LoRA and NEFTunearXiv:2606.10392v1 Announce Type: new Abstract: Financial named-entity recognition (NER) is essential for translating unstructured financial reports and news into structured knowledge graphs. However,→30 Jun 2026Not-quite-human tastes: the stylized omnivorousness of LLM survey surrogatesarXiv:2606.30085v1 Announce Type: new Abstract: Large-language models have proven to be remarkable if inconsistent parrots of public attitudes and opinions. The extent to which LLMs are able to produc→10 Sept 2026Alignment Whack-a-Mole : Finetuning Activates Verbatim Recall of Copyrighted Books in Large Language ModelsarXiv:2603.20957v4 Announce Type: replace-cross Abstract: Frontier LLM companies have repeatedly assured courts and regulators that their models do not store copies of training data. They further rely→1 Oct 2026Covert Assistance: Helpful LLM Agents Evade Oversight in Multi-Agent SystemsarXiv:2609.39050v1 Announce Type: cross Abstract: As multi-agent systems enter high-stakes domains, the possibility that agents may circumvent safety boundaries is a growing concern. Prior work has ex
CompanyNVIDIA1 recent entries15 Sept 2026Empirical Evaluation of Open-Source Large Language Models for Retrieval-Augmented Generation in ESG DomainarXiv:2609.15242v1 Announce Type: new Abstract: Environmental, Social, and Governance (ESG) reporting is critical for corporate accountability, with Large Language Models (LLMs) and Retrieval-Augmente