CompanyAnthropic8 recent entries28 Aug 2026Agents Don't Paginate: First-Chunk Selection for LLM Tool ResponsesarXiv:2608.26130v1 Announce Type: new Abstract: Coding agents built on large language models (LLMs), such as Claude Code, Cursor, OpenAI Codex, GitHub Copilot, and Aider, receive tool responses that r→15 Sept 2026Empirical Evaluation of Task-Based Permission Scoping Architecture for AI AgentsarXiv:2609.15422v1 Announce Type: new Abstract: AI agents are provisioned the same as employee-owned hosts in many enterprise settings with a static credential set fixed at deployment which includes a
CompanyOpenAI8 recent entries8 Jul 2026The Jagged Global Economy: Frontier AI Unevenly Exposes National EconomiesarXiv:2607.05404v1 Announce Type: cross Abstract: Frontier AI's labor-market effects matter to workers, firms, and policymakers, but current evidence generally comes from a handful of high-income econ→15 Jul 2026DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning AgentsarXiv:2509.21842v2 Announce Type: replace Abstract: Travel planning (TP) agent has recently worked as an emerging building block to interact with external tools/resources for travel itinerary generati→31 Jul 2026LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented GenerationarXiv:2607.27353v1 Announce Type: new Abstract: Agentic retrieval-augmented generation systems can produce answers that appear grounded while failing at the evidence, tool-contract, authorization, or →13 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 →28 Aug 2026Agents Don't Paginate: First-Chunk Selection for LLM Tool ResponsesarXiv:2608.26130v1 Announce Type: new Abstract: Coding agents built on large language models (LLMs), such as Claude Code, Cursor, OpenAI Codex, GitHub Copilot, and Aider, receive tool responses that r→25 Sept 2026Control the Harness, Control the Cost: Routing and Governing AI Coding Agents in the EnterprisearXiv:2609.28919v1 Announce Type: new Abstract: Harnesses, the products that run AI coding agents, are multiplying, and enterprises are rolling them out to their employees: what started as pilots with→1 Oct 2026Strong Multilingual Privacy Tagging at Encoder SpeedarXiv:2609.38630v1 Announce Type: new Abstract: Privacy redaction must remove personal information while preserving relationships expressed in text. We develop a multilingual named-entity tagger with →5 Oct 2026Mitigating Private Data Leakage in LLMs with WhiteoutarXiv:2610.02418v1 Announce Type: cross Abstract: Modern large language models (LLMs) are trained on massive, largely unfiltered datasets, including content scraped from nearly every accessible websit
CompanyGoogle8 recent entries18 Aug 2026Bounded Semantic Planning and Deterministic Compilation for Reliable Enterprise Text-to-SQLarXiv:2608.16663v1 Announce Type: cross Abstract: Direct text-to-SQL asks a language model to do two jobs: interpret the business question and construct the complete relational query. In enterprise sc→19 Aug 2026BEAR-Bench: A Bilingual Enterprise and Academic Reasoning Benchmark for Multimodal ModelsarXiv:2608.17895v1 Announce Type: cross Abstract: While Multimodal Large Language Models (MLLMs) have made significant strides in visual comprehension, their ability to reason about text-dense, profes→28 Aug 2026DRL: A Deterministic Relational Middleware Layer for Transaction-Safe Enterprise NL2SQL Under Schema-Graph ScalingarXiv:2608.26172v1 Announce Type: cross Abstract: Deploying natural-language interfaces over enterprise OLTP catalogs fails at scale because semantic parsers collapse under schema-graph scaling, infla→1 Sept 2026Are Online Skill and Memory Modules Always Worth Their Tokens? A Budget-Constrained Study of Web AgentsarXiv:2606.15017v2 Announce Type: replace Abstract: Online web agents often augment a base actor with memory, workflow, or skill modules. These modules can improve performance, but they also consume t→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→17 Sept 2026An Empirical Evaluation of Cost-Efficient Large Language Models on Algorithmic Programming TasksarXiv:2609.18052v1 Announce Type: cross Abstract: This study empirically evaluates whether cost-efficient Large Language Models (LLMs) can be trusted to generate enterprise code to a written specifica→22 Sept 2026Document Retrieval-Aware Chunking (D-RAC): Universal Retrieval-Aware Ingestion of Enterprise Documents via PDF Normalization and Multimodal Markdown ConversionarXiv:2609.24220v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) systems over enterprise knowledge bases must ingest heterogeneous document formats -- PDFs, Word documents, present→25 Sept 2026The Last Human Gate: Forward Deployed Engineering for Governance AutomationarXiv:2609.29345v1 Announce Type: new Abstract: Enterprise governance requires decisions, evidence, and accountable authority; it does not require every review task to retain its current human impleme
CompanyMeta8 recent entries28 Aug 2026Agents Don't Paginate: First-Chunk Selection for LLM Tool ResponsesarXiv:2608.26130v1 Announce Type: new Abstract: Coding agents built on large language models (LLMs), such as Claude Code, Cursor, OpenAI Codex, GitHub Copilot, and Aider, receive tool responses that r→28 Aug 2026A Contract-Centered Architecture for Scalable and Manageable Agentic RuntimesarXiv:2608.27086v1 Announce Type: new Abstract: Enterprise AI deployment is a coordination problem across business units, application and AI teams, testing, platform engineering, infrastructure, secur→10 Sept 2026Co-Evolving Harnesses and Models: On-Policy Correction Helps Weaker Models Catch Up Where Imitation FailsarXiv:2609.09134v1 Announce Type: new Abstract: Agent harnesses (the system prompt, tool set, execution hooks, and context-management scaffolding around a model) are a critical determinant of agentic →15 Sept 2026ShopEase: A Generative AI-Based Multi-Agent Framework for Intelligent Enterprise Customer Support Using Hybrid Retrieval-Augmented GenerationarXiv:2609.13856v1 Announce Type: new Abstract: Enterprise customer support systems must answer customer questions correctly, retrieve the right policy information, use customer context, and pass diff→21 Sept 2026One Prompt Does Not Fit All: Self-Meta-Evolve for Personalized Information ExtractionarXiv:2609.21626v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed for enterprise information extraction (IE), where the same document must be reorganized different→24 Sept 2026Agentic Governance and Adversarial Verification for Policy-Constrained LLM Healthcare Appeal GenerationarXiv:2609.27844v1 Announce Type: new Abstract: Claim denial management costs U.S. healthcare approximately $260 billion annually in administrative overhead. Large Language Models (LLMs) and Retrieval→1 Oct 2026GrammarRL: Effective Grammar-Constrained Decoding via Reinforcement LearningarXiv:2609.39869v1 Announce Type: new Abstract: Grammar-constrained generation guarantees syntactic validity, but can substantially degrade semantic quality when the model's preferred outputs are poor→7 Oct 2026When Does AI Supervision Help? A Role-Aware Study of Network Fraud Decision Management with Blockchain AuditabilityarXiv:2610.07434v1 Announce Type: new Abstract: When does a second artificial intelligence (AI) component improve a primary network-fraud decision rather than add operational burden? We study this que
CompanyMistral4 recent entries30 Apr 2026Information Extraction from Electricity Invoices with General-Purpose Large Language ModelsarXiv:2604.25927v1 Announce Type: new Abstract: Information extraction from semi-structured business documents remains a critical challenge for enterprise management. This study evaluates the capabili→19 May 2026MADP: A Multi-Agent Pipeline for Sustainable Document Processing with Human-in-the-LooparXiv:2605.17159v1 Announce Type: new Abstract: Document processing automation remains a critical challenge in enterprise environments, where traditional manual approaches are labor-intensive and erro→30 Jun 2026Internalized Reasoning for Long-Context Visual Document UnderstandingarXiv:2604.02371v2 Announce Type: replace-cross Abstract: Visual long-document understanding is critical for enterprise, legal, and scientific applications, yet the best performing open recipes have n→5 Aug 2026Evaluating LLM Trade-offs for Enterprise Automation: Lessons from Workflow Generation in a Production Enterprise PlatformarXiv:2608.03311v1 Announce Type: cross Abstract: Enterprise compliance management requires rapid adaptation to evolving regulatory frameworks (e.g., DORA, AI RMF, FedRAMP) and tight remediation SLAs.
CompanyxAI5 recent entries27 Apr 2026Who Audits the Auditor? Tamper-Proof Fraud Detection with Blockchain-Anchored Explainable MLarXiv:2604.22096v1 Announce Type: cross Abstract: In enterprise fraud detection, model accuracy alone is insufficient when insiders can tamper with audit logs or bypass approval workflows. Real-world →29 May 2026Evolutionary Rule Extraction from Corporate Default Prediction ModelsarXiv:2605.29478v1 Announce Type: cross Abstract: Small and medium-sized enterprises (SMEs) represent the majority of firms in most economies and often face financial constraints and higher vulnerabil→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→31 Aug 2026Actionable CBFI: Integrating Structural Decomposition and Causal Counterfactual Recourse for Tabular Machine LearningarXiv:2608.27821v1 Announce Type: new Abstract: Explainable artificial intelligence (XAI) increasingly calls for actionable counterfactual recourse, yet current methodologies face challenges related t→2 Sept 2026A Mathematical Framework for Legacy, Governance, and Decision Integrity in Enterprise AIarXiv:2609.00572v1 Announce Type: cross Abstract: Enterprise artificial intelligence is increasingly embedded in decisions that must remain lawful, explainable, adaptable, and accountable despite pers
CompanyDeepSeek8 recent entries19 May 2026MADP: A Multi-Agent Pipeline for Sustainable Document Processing with Human-in-the-LooparXiv:2605.17159v1 Announce Type: new Abstract: Document processing automation remains a critical challenge in enterprise environments, where traditional manual approaches are labor-intensive and erro→27 May 2026Device Context Protocol: A Compact, Safety-First Architecture for LLM-Driven Control of Constrained DevicesarXiv:2605.26159v1 Announce Type: cross Abstract: Large language models are increasingly used as orchestrators of external tools via the Model Context Protocol (MCP), but MCP is built for software ser→23 Jun 2026RLM-Cascade: Response-Level Speculative Decoding for Cost-Efficient LLM API ServingarXiv:2606.22840v1 Announce Type: new Abstract: We present RLM-Cascade, a proxy-layer system that applies speculative decoding at the response level to reduce LLM API costs without requiring model arc→30 Jun 2026Database Context Compression for Text-to-SQL on Real-World Large DatabasesarXiv:2606.28601v1 Announce Type: cross Abstract: Recent progress in Text-to-SQL has been driven by stronger language models and prompting strategies, yet performance on real enterprise benchmarks suc→15 Jul 2026DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning AgentsarXiv:2509.21842v2 Announce Type: replace Abstract: Travel planning (TP) agent has recently worked as an emerging building block to interact with external tools/resources for travel itinerary generati→2 Sept 2026Harness-of-Harness: Multi-Day Autonomous Software Development with Continual ImprovementarXiv:2609.01481v1 Announce Type: new Abstract: This paper studies autonomous software development, in which LLM-based coding agents transform high-level requirements into complete, functional, and us→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→25 Sept 2026The Last Human Gate: Forward Deployed Engineering for Governance AutomationarXiv:2609.29345v1 Announce Type: new Abstract: Enterprise governance requires decisions, evidence, and accountable authority; it does not require every review task to retain its current human impleme
CompanyNVIDIA8 recent entries11 May 2026Beyond the Black Box: Interpretability of Agentic AI Tool UsearXiv:2605.06890v1 Announce Type: new Abstract: AI agents are promising for high-stakes enterprise workflows, but dependable deployment remains limited because tool-use failures are difficult to diagn→16 Jul 2026Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMsarXiv:2607.13080v1 Announce Type: cross Abstract: Autonomous coding agents force engineering organizations to choose between API-based frontier models -- strong reasoning at high token cost -- and on-→16 Jul 2026AI-accelerated End-to-End Framework for Rapid Professional UpskillingarXiv:2607.14044v1 Announce Type: new Abstract: By 2030, 59 of every 100 workers will need reskilling or upskilling, yet the average time to close an enterprise skills gap grew from roughly 3 days in →18 Aug 2026The Commercial Tax: Rent-vs-Own Blind Spots in Multi-Hop Retrieval BenchmarksarXiv:2608.16096v1 Announce Type: cross Abstract: Enterprises connect language models to their own data through retrieval. The benchmarks that rank multi-hop retrieval systems leave out two facts a bu→24 Aug 2026Evaluating Skills, Not Just Agents: Agentic Continuous Evaluation of SkillsarXiv:2608.20614v1 Announce Type: new Abstract: Enterprise agent programs are moving from prototypes into production, where reusable skills, tools, and workflow packages must be reviewed with evidence→9 Sept 2026Miles v0.1: Production-Level Post-TrainingarXiv:2609.08368v1 Announce Type: new Abstract: We present Miles v0.1, a full-stack, production-ready system for frontier post-training. Building upon the clean design of slime, Miles designs each sta→15 Sept 2026Salesforce Koa: An Enterprise Language Model for Agentic Tool UsearXiv:2609.15066v1 Announce Type: cross Abstract: We present Salesforce Koa, an enterprise language model built by post-training the open-weight Nemotron-3-Super-120B foundation model with reinforceme→17 Sept 2026NeMo Data Designer: An Extensible Framework for Multimodal Synthetic Data GenerationarXiv:2609.17699v1 Announce Type: new Abstract: We present NeMo Data Designer (NDD), an open-source, general-purpose framework for multi-modal synthetic data generation (SDG). Designed to be intuitive