CompanyAnthropic8 recent entries13 Aug 2026FrontierFinance: A Challenging Benchmark for Measuring Frontier Intelligence of Finance AgentsarXiv:2608.11683v1 Announce Type: new Abstract: AI agents are increasingly deployed for professional investment research, yet no benchmark captures the complexity of the full investor workflow. Existi→18 Aug 2026Mint-Agent: Introducing Finance-Native Agentic Foundation ModelsarXiv:2608.16386v1 Announce Type: new Abstract: Financial agents must do more than recall domain knowledge: they must be both reliable, executing precise operations over grounded evidence, and executi
CompanyOpenAI5 recent entries6 May 2026Trojan Hippo: Weaponizing Agent Memory for Data ExfiltrationarXiv:2605.01970v2 Announce Type: cross Abstract: Memory systems enable otherwise-stateless LLM agents to persist user information across sessions, but also introduce a new attack surface. We characte→24 Jun 2026Transformer-Based Language Models Across Domain Verticals: Architectures, Applications and Critical AssessmentarXiv:2606.24331v1 Announce Type: new Abstract: Transformer-based language models have become the default substrate for natural language processing and the pace of new releases has made it hard for pr→24 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→26 Jun 2026The Open Source Economic Index of AI Adoption and CapabilityarXiv:2606.26118v1 Announce Type: cross Abstract: We work towards measuring both AI adoption and the capability of AI to perform discrete labor tasks across various occupations. To measure adoption, w→14 Aug 2026Revolutionizing Finance with LLMs: An Overview of Applications and InsightsarXiv:2401.11641v5 Announce Type: replace Abstract: In recent years, Large Language Models (LLMs) like ChatGPT have seen considerable advancements and have been applied in diverse fields. Built on the
CompanyGoogle8 recent entries8 Jun 2026TSAQA: Time Series Analysis Question And Answering BenchmarkarXiv:2601.23204v2 Announce Type: replace Abstract: Time series data are integral to critical applications across domains such as finance, healthcare, transportation, and environmental science. While →24 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→28 Jul 2026TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and LawarXiv:2507.21134v2 Announce Type: replace Abstract: As large language models (LLMs) are increasingly deployed in high-risk domains such as law, finance, and medicine, systematically evaluating their d→3 Aug 2026Are the Financial Reasoning from LLMs Credible? A Real World Test over Long-Horizon StatementsarXiv:2607.28661v1 Announce Type: new Abstract: Do Large Language Models (LLMs) possess genuine structural reasoning, or merely rely on surface-level pattern matching? The financial domain, demanding →13 Aug 2026Explainability in Practice: A Survey of Explainable NLP Across Various DomainsarXiv:2502.00837v3 Announce Type: replace-cross Abstract: Natural Language Processing (NLP) is now embedded in critical sectors including healthcare, finance, and customer relationship management, whe→25 Aug 2026Walking on the DARKSIDEarXiv:2608.23370v1 Announce Type: new Abstract: Large Language Models (LLMs) recognise patterns but do not natively track the path of exclusions that a coherent discourse demands. When an input rests →7 Sept 2026ERPBench: Evaluating LLM Agents for Enterprise Decision-Making Across Competitive Market EcologiesarXiv:2609.04667v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly proposed for enterprise workflows, yet existing evaluations rarely test whether business-decision con→12 Oct 2026APEX-Harm: Evaluating Agent Safety in Shared Professional WorkspacesarXiv:2610.13623v1 Announce Type: cross Abstract: Professional agents increasingly work through command-line interfaces and multiple tools over shared workspaces containing files, messages, and busine
CompanyMeta8 recent entries11 Aug 2026Hybrid Neural-Classical Correction for Frozen Time Series Foundation Models: A Comprehensive Ablation Study on High-Frequency Stock PredictionarXiv:2608.08825v1 Announce Type: cross Abstract: Foundation models for time series forecasting demonstrate impressive zero-shot generalization but often underperform on specialized domains such as hi→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→26 Aug 2026ESQ-Bench: A Multi-Tier Enterprise Oracle Benchmark for Evaluating NL2SQL Dialect Generalization and Silent Semantic DivergencearXiv:2608.23569v1 Announce Type: new Abstract: State-of-the-art Natural Language to SQL (NL2SQL) models report execution accuracy exceeding 89 percent on established benchmarks such as Spider and BIR→30 Sept 2026Resolving the Missing Financial Data Crisis: A Generative AI Pipeline for SEC 10-K ExtractionarXiv:2609.35864v1 Announce Type: new Abstract: SEC 10-K filings contain substantial financial information that is not consistently captured in structured datasets, creating a missing-data problem aff→1 Oct 2026Values as Style: Disentangling Values from Semantics with One-Way Mixing for Low-Damage LLM SteeringarXiv:2609.39701v1 Announce Type: new Abstract: Value steering should change an LLM's normative priorities while preserving the scenario, facts, and task constraints underlying its answer. Conventiona→2 Oct 2026Tokenized Key-Gated Adapter Routing: A Secure Access Control Mechanism Against Private Data Leakage in LLMsarXiv:2610.00309v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed in privacy-critical domains (e.g., healthcare, finance, and government), but their propensity t→7 Oct 2026Thin Evidence, Thick Priors: How Language Models Substitute Identity for Missing Financial FactsarXiv:2610.07798v1 Announce Type: new Abstract: People increasingly ask large language models what to do with their money, yet seldom describe their finances in full. This paper asks what a model does→9 Oct 2026Towards Scalable Meta-Learning of near-optimal Interpretable Models via Synthetic Model GenerationsarXiv:2511.04000v2 Announce Type: replace-cross Abstract: Decision trees are widely used in high-stakes fields like finance and healthcare due to their interpretability. This work introduces an effici
CompanyMistral3 recent entries4 Jun 2026Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient ReasoningarXiv:2602.21103v2 Announce Type: replace Abstract: Advanced reasoning typically requires Chain-of-Thought prompting, which is accurate but incurs prohibitive latency and substantial test-time inferen→24 Jun 2026Transformer-Based Language Models Across Domain Verticals: Architectures, Applications and Critical AssessmentarXiv:2606.24331v1 Announce Type: new Abstract: Transformer-based language models have become the default substrate for natural language processing and the pace of new releases has made it hard for pr→28 Sept 2026From ASR to ASP: Evaluating Prompt Attack Vulnerabilities Against Open-Source LLMsarXiv:2505.14368v3 Announce Type: replace-cross Abstract: Recent studies demonstrate that Large Language Models (LLMs) are vulnerable to attacks that generate harmful or sensitive outputs. As open-sou
CompanyxAI7 recent entries14 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 Apr 2026Seeing Is No Longer Believing: Frontier Image Generation Models, Synthetic Visual Evidence, and Real-World RiskarXiv:2604.24197v1 Announce Type: cross Abstract: Frontier image generation has moved from artistic synthesis toward synthetic visual evidence. Systems such as GPT Image 2, Nano Banana Pro, Nano Banan→28 Apr 2026Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series MonitoringarXiv:2511.23036v2 Announce Type: replace-cross Abstract: Explaining online time series monitoring models is crucial across sensitive domains such as healthcare and finance, where temporal and context→24 Aug 2026GroupSegment-SHAP: Shapley Value Explanations with Group-Segment Players for Multivariate Time SeriesarXiv:2601.06114v2 Announce Type: replace-cross Abstract: Multivariate time-series models achieve strong predictive performance in healthcare, industry, energy, and finance, but how they combine cross→24 Aug 2026Auditable by Construction: An Ontology-Driven Framework for Trustworthy LLM Analytics in Enterprise FinancearXiv:2608.20661v1 Announce Type: new Abstract: Enterprise adoption of large language models in finance is constrained less by fluency than by trust: in Financial Planning and Analysis (FP&A) and othe→16 Sept 2026A unified framework for global and local interpretability using adaptive derivative-ordered random explanationarXiv:2609.17171v1 Announce Type: cross Abstract: The interpretability of complex machine learning models is of paramount importance, especially in real-world high-stakes domains such as healthcare an→1 Oct 2026Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return PredictionsarXiv:2609.38869v1 Announce Type: new Abstract: In finance, interpreting machine learning predictions is essential, yet the numerical outputs of explainable AI can be difficult for non-experts to unde
CompanyDeepSeek6 recent entries4 May 2026Retrieval-Augmented Reasoning for Chartered AccountancyarXiv:2605.00257v1 Announce Type: new Abstract: The inception of Large Language Models (LLMs) has catalyzed AI adoption in the finance sector, yet their reliability in complex, jurisdiction-specific t→24 Jun 2026Transformer-Based Language Models Across Domain Verticals: Architectures, Applications and Critical AssessmentarXiv:2606.24331v1 Announce Type: new Abstract: Transformer-based language models have become the default substrate for natural language processing and the pace of new releases has made it hard for pr→25 Jun 2026Verifiable Manifest Signing and Transparency Enforcement for Secure MCP-Based LLM PipelinesarXiv:2601.23132v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are increasingly deployed in tool-driven environments such as healthcare analytics, financial systems, retrieval-→25 Aug 2026HIRA: A Human-in-the-Loop Retrieval-Augmented Cascade for Document Classification in Regulated IndustriesarXiv:2608.21792v1 Announce Type: new Abstract: Document classification in regulated industries is constrained by data residency, limited cold-start labels, scarce review capacity, and costly model-go→7 Sept 2026ERPBench: Evaluating LLM Agents for Enterprise Decision-Making Across Competitive Market EcologiesarXiv:2609.04667v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly proposed for enterprise workflows, yet existing evaluations rarely test whether business-decision con→12 Oct 2026MagicBeanStalk: Escaping the RLVR Zero Advantage Trap with Recursive Data SynthesisarXiv:2610.12659v1 Announce Type: new Abstract: Data-centric scaling of RLVR has focused on collecting or generating verifiable training problems. However, corpus size alone does not determine whether