AI news archive.
4,965 articles filed under Agents, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsPAWA: Panoramic Action-conditioned World Modeling for Multiple Agents
arXiv:2610.20240v1 Announce Type: cross Abstract: A multiplayer world model must predict how the independent actions of several players change a shared environment, including changes outside a player's current field of v…
- arXiv cs.AIagentsP2Patch: Exploit-Guided Vulnerability Repair
arXiv:2610.20245v1 Announce Type: cross Abstract: Large language models are increasingly deployed as autonomous agents for automated program repair, patching software vulnerabilities through multi-step reasoning and tool…
- arXiv cs.AIagentsLong-Horizon RL Needs Muon
arXiv:2610.20256v1 Announce Type: cross Abstract: Long-horizon agents must coordinate reasoning, tool use, and environment feedback over extended interactions. Learning from sparse outcome rewards requires weighting traj…
- arXiv cs.AIagentsHarness Policy Distillation: Aligning Agent Policies with Runtime Semantics
arXiv:2610.20261v1 Announce Type: cross Abstract: Deploying a general-purpose model as an agent means running it inside a product-specific runtime harness that decides which actions are executable, how state advances, an…
- arXiv cs.AIagentsDoc2Harness: Benchmarking LLMs on Long-Horizon Harness Engineering of Coding Agents
arXiv:2610.20344v1 Announce Type: cross Abstract: Agents driven by large language models are increasingly deployed on long-horizon tasks, where they use tools and modify real workspaces. How well they perform depends as…
- arXiv cs.AIagentsFrom Training to Escalation: Forensic Analysis and Local Recreation of RL/RLHF-Induced Privilege Escalation in AI Agents (CVE-2026-65616)
arXiv:2610.20437v1 Announce Type: cross Abstract: Mid-2026 reporting on autonomous AI evaluation incidents claimed that frontier large language model (LLM) agents escaped server containment through emergent coordination…
- arXiv cs.AIagentsPerSo: Investigating Facets of LLMs' Social Intelligence in Real-World Persuasion Scenarios
arXiv:2610.20548v1 Announce Type: cross Abstract: Understanding the social intelligence of large language models (LLMs) is increasingly important for applications involving human-AI interaction and multi-agent environmen…
- arXiv cs.AIagentsBeyond LLM Judge: Mechanical Verification for Agentic Autoformalization
arXiv:2610.20573v2 Announce Type: replace-cross Abstract: We introduce a novel method for verifying Lean formalizations that goes beyond LLM-judged faithfulness. Unlike most verification methods, which rely on LLMs or tr…
- arXiv cs.AIagentsOne Task, Many Interfaces: Simple Cross-Interface Consistency Training Improves LLM Agent Robustness
arXiv:2610.20576v1 Announce Type: cross Abstract: Post-training binds the competence of an LLM agent to the interface it was trained on. Semantics-preserving perturbations of that interface, such as renaming an action or…
- arXiv cs.AIagentsPlayer-1: Learning to Play from Synthetic Experience
arXiv:2610.20584v1 Announce Type: cross Abstract: Computer-use agents have demonstrated strong capabilities in interpreting screens and executing keyboard and mouse actions. However, games, with their visually rich world…
- arXiv cs.AIagentsPrice of Anarchy of First-Price Auctions in Agentic Markets
arXiv:2610.20587v1 Announce Type: cross Abstract: An agentic market is a decentralized serving-time market where AI agents bid to claim each user prompt. An agent's bid is based on its expected value for the prompt, whic…
- arXiv cs.AIagentsHierarchical Residual Policy Learning for Real-World Mobile Manipulation with Sparse Human Guidance
arXiv:2610.20607v1 Announce Type: cross Abstract: Mobile Manipulation (MoMa) is a cornerstone of autonomous robotic systems, yet real-world fine-tuning remains a formidable challenge because of high-dimensional action sp…
- arXiv cs.AIagentsPrompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems
arXiv:2505.13546v2 Announce Type: replace Abstract: Automatic prompt generation plays a crucial role in enabling general-purpose multi-agent systems to perform diverse tasks autonomously. Existing methods typically evalu…
- arXiv cs.AIagentsSEDM: Selective Self-Evolving Distributed Memory for Agents
arXiv:2509.09498v4 Announce Type: replace Abstract: Agents in a society can reuse each other's experience, but indiscriminate memory use increases processing cost and can reduce task success. We present SEDM (Selective S…
- arXiv cs.AIagentsEmergence of Physical Intelligence via Controllable Information Production
arXiv:2601.22449v3 Announce Type: replace Abstract: Intrinsic Motivation (IM) aims to train agents without external rewards, enabling useful behavior to emerge from the agent's interaction with its environment alone. How…
- arXiv cs.AIagentsTimeWarp: Evaluating Web Agents by Revisiting the Past
arXiv:2603.04949v4 Announce Type: replace Abstract: As web agents close the gap with humans on benchmarks, one question arises: Do today's agents perform just as well on tomorrow's web? We introduce TimeWarp, a benchmark…
- arXiv cs.AIagentsTowards Security-Auditable LLM Agents: A Unified Graph Representation
arXiv:2605.06812v2 Announce Type: replace Abstract: LLM-based agentic systems are rapidly evolving to perform complex autonomous tasks through dynamic tool invocation, stateful memory management, and multi-agent collabor…
- arXiv cs.AIagentsHow Far Are We From True Auto-Research?
arXiv:2605.19156v2 Announce Type: replace Abstract: Recent auto-research systems can produce complete papers, but feasibility is not the same as quality, and the field still lacks a systematic study of how good agent-gen…
- arXiv cs.AIagentsMOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization
arXiv:2605.19330v2 Announce Type: replace Abstract: LLM agents organize behavior through skills -- structured natural-language specifications that govern how an agent reasons, retrieves, and responds. Unlike monolithic p…
- arXiv cs.AIagentsRedundant or Necessary? A Benchmark for Detecting Redundant Steps in Agent Trajectories
arXiv:2605.29893v2 Announce Type: replace Abstract: Computation cost is a critical challenge for LLM agent systems, as their long-horizon trajectories continuously accumulate computational overhead. While existing studie…
- arXiv cs.AIagentsLearning Reusable Agent Subroutines from Experience
arXiv:2606.02994v2 Announce Type: replace Abstract: Existing methods induce various forms of knowledge from agent traces, from sample workflows to programmatic skills. We propose ARISE (Agent Routine Induction from Succe…
- arXiv cs.AIagentsCausalDS: Benchmarking Causal Reasoning in Data-Science Agents
arXiv:2607.08093v2 Announce Type: replace Abstract: Large language models (LLMs) increasingly act as data-science agents, combining abstract reasoning with advanced tool use. Yet the relevant benchmark landscape largely…
- arXiv cs.AIagentsWhen Privileged Guidance Misaligns: State-Matched Routing and Contextualized Self-Distillation for Multi-Turn Agents
arXiv:2608.05219v2 Announce Type: replace Abstract: Multi-turn agents trained with sparse outcome rewards receive limited supervision for intermediate decisions. Privileged on-policy self-distillation provides denser gui…
- arXiv cs.AIagentsSkillCommit: Evolving Agent Skills through Behaviorally Validated Scope Expansion
arXiv:2608.15165v2 Announce Type: replace Abstract: Large language model (LLM) agents can continually improve without parameter updates by converting historical experience into reusable procedural knowledge. However, exi…
- arXiv cs.AIagentsCDEG: Learning Decision-Critical Evidence for Long-Horizon Diagnostic Agents
arXiv:2608.22899v3 Announce Type: replace Abstract: Unlike static medical question answering, long-horizon diagnosis captures the sequential nature of clinical practice: evidence is progressively acquired, integrated, an…
- arXiv cs.AIagentsOmniStepBench: Deployment-Aware Agent Evaluation across Modalities and Task Complexity
arXiv:2609.06059v2 Announce Type: replace Abstract: As large language models evolve from question-answering systems into general-purpose agents, evaluation must move beyond static answer correctness to assess multimodal…
- arXiv cs.AIagentsEigen-Agent: Adaptive Multi-Agent Scientific Reasoning with Monitor-Based RAG
arXiv:2509.21193v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have recently shown strong progress on scientific reasoning, yet two major bottlenecks remain. First, explicit retrieval fragments re…
- arXiv cs.AIagentsIt's My Agent, Not Me: Personal Privacy Boundaries in AI-Delegated Information Sharing
arXiv:2509.21712v2 Announce Type: replace-cross Abstract: Aligning AI systems with human privacy preferences requires understanding individuals' nuanced disclosure behaviors beyond general privacy norms. Yet eliciting th…
- arXiv cs.AIagentsGeneralized Multi-agent Social Simulation Framework
arXiv:2510.06225v2 Announce Type: replace-cross Abstract: Multi-agent social interaction has clearly benefited from Large Language Models. However, current simulation systems still face challenges such as difficulties in…
- arXiv cs.AIagentsSWE-Spot: Building Small Repo-Experts with Repository-Centric Learning
arXiv:2601.21649v2 Announce Type: replace-cross Abstract: The deployment of coding agents in privacy-sensitive and resource-constrained environments drives the demand for capable open-weight Small Language Models (SLMs).…
- arXiv cs.AIagentsNePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning
arXiv:2603.06977v3 Announce Type: replace-cross Abstract: Multi-agent reinforcement learning (MARL) is increasingly used to design learning-enabled agents that interact in shared environments. However, training MARL algo…
- arXiv cs.AIagentsTerminal Agents Suffice for Enterprise Automation
arXiv:2604.00073v4 Announce Type: replace-cross Abstract: There has been growing interest in building agents that can interact with digital platforms to execute meaningful enterprise tasks autonomously. Among the approac…
- arXiv cs.AIagentsTowards Secure Agent Skills: Architecture, Threat Taxonomy, and Security Analysis
arXiv:2604.02837v2 Announce Type: replace-cross Abstract: Agent Skills is an emerging open standard that defines a modular, filesystem-based packaging format enabling LLM-based agents to acquire domain-specific expertise…
- arXiv cs.AIagentsAutomated Standardization of Legacy Biomedical Metadata Using an Ontology-Constrained LLM Agent
arXiv:2604.08552v5 Announce Type: replace-cross Abstract: Descriptive scientific metadata in public repositories are often incomplete and inconsistent with community standards and ontologies, limiting data FAIRness. Larg…
- arXiv cs.AIagentsLatent Preference Modeling for Multi-Session Personalized Tool Calling
arXiv:2604.17886v3 Announce Type: replace-cross Abstract: Users often omit essential details in their requests to LLM-based agents, resulting in under-specified inputs for tool use. This poses a fundamental challenge for…
- arXiv cs.AIagentsSecureClaw: Clawing Back Control of LLM Agents
arXiv:2606.09549v3 Announce Type: replace-cross Abstract: Tool-using large language model (LLM) agents face two distinct security failures: unauthorized external actions and exposure of sensitive plaintext inside the run…
- arXiv cs.AIagentsDIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners?
arXiv:2606.12402v2 Announce Type: replace-cross Abstract: Vision-Language Models (VLMs) are increasingly deployed as high-level planners for embodied agents, with an emerging strategy of scaling test-time compute to impr…
- arXiv cs.AIagentsDriving, Fast or Slow? Neuro-Symbolic Guidance for Motion Prediction in Multi-Modal Ground Mobility
arXiv:2606.15251v2 Announce Type: replace-cross Abstract: Accurate and interpretable motion prediction for heterogeneous traffic spaces, including pedestrians, bicycles, cars, and trucks, is essential for safe autonomous…
- OpenAI NewsagentsSullivan & Cromwell brings legal expertise into agreement review
In collaboration with OpenAI, Sullivan & Cromwell developed Agreement Analyzer, an AI tool for identifying issues in a draft agreement.
- Latent SpaceagentsCrossing the Threshold: How OpenAI and Anthropic Approach Autonomy and Safety in Financial Agents
At AI Engineer New York, frontier labs and financial firms explored how to give agents useful autonomy while keeping consequential decisions under control.
- Latent SpaceagentsCrossing the Threshold: How OpenAI and Anthropic Approach Autonomy and Safety in Financial Agents
At AI Engineer New York, frontier labs and financial firms explored how to give agents useful autonomy while keeping consequential decisions under control.
- The Register AI + MLagentsChaos ensues when AI interviewer meets AI interviewee
Things got weird, but there's a lesson to be learned: Don't trust a bot to negotiate for you
- AI BusinessagentsIBM: Agentic AI is reshaping governance, controls and trust
As AI agents move from answering questions to making decisions and acting, businesses face a growing challenge of keeping accountability in step with the pace of change.
- AI BusinessagentsMusing about Muse’s new AI models, unruly DeepSeek
The social media giant tries to capitalize on, monetize its successful personal agent and maybe crack the business market. Chinese models go astray, like their U.S. counterparts.
- TechCrunch AIagentsApate sends AI agents undercover to get scammed so they can gather fraud intelligence
Most companies use AI agents to ship products faster or speed up workflows. Apate.ai sends them undercover to get scammed.
- AWS Machine Learning BlogagentsBuild self-improving document processing using Amazon Bedrock AgentCore
Learn how to build an agentic intelligent document processing (IDP) system using Amazon Bedrock AgentCore that classifies, extracts, validates, and learns from business documents with minimal human intervention, automati…
- NVIDIA Developer BlogagentsOptimizing Agent Reliability and Tool Calling Efficiency for Chip Design Using NVIDIA NeMo Gym
AI agents offer remarkable productivity gains in complex chip design workflows, but their tendency to generate plausible yet incorrect artifacts makes...
- TechRadar AIagentsRogue AI agent reportedly deletes entire season of Swedish reality show
Mainstream AI news from a large tech publication.
- TechCrunch AIagentsFloqer’s AI agents research sales prospects so teams don’t have to
The problem Floqer is trying to solve is familiar to anyone who has worked in sales or revenue operations.
- AWS Machine Learning BlogagentsGenerate presentations with Amazon Bedrock AgentCore
This post walks you through building an AI agent system with Amazon Bedrock AgentCore that automates PowerPoint presentation creation from enterprise documents. A supervisor agent, Retrieval Augmented Generation, and Ama…