AI news archive.
4,965 articles filed under Agents, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagents$\mathrm{TRIZ}^{a}$: Guiding Agent Evolution from Pattern Recognition to Solution Invention
arXiv:2610.04555v1 Announce Type: new Abstract: We propose $\mathrm{TRIZ}^{a}$ (TRIZ exponentiated by an agent), a general R\&D automation paradigm that combines TRIZ inventive theory with LLM-driven agent evolutionary s…
- arXiv cs.AIagentsMASBench: Benchmarking LLM-based Multi-Agent Collaboration under Partial Observability
arXiv:2610.04672v1 Announce Type: new Abstract: Large language models (LLMs) have progressively evolved into the core of autonomous agents. Building on this progress, LLM-based multi-agent systems (MAS) coordinate multip…
- arXiv cs.AIagentsWhen Debate Helps: Proposal Supply and Verification-Aware Readout in Multi-Agent Reasoning
arXiv:2610.04686v1 Announce Type: new Abstract: Multi-agent debate can improve reasoning, yet often fails to beat simple majority voting. We argue that successful debate requires two distinct mechanisms: proposal supply…
- arXiv cs.AIagentsPenumbra: Sample-Efficient Adversarial Search for Regulatory Obligations
arXiv:2610.04693v3 Announce Type: replace Abstract: Agents are entering finance, healthcare and law, sectors where a violation leaves no lexical signature and carries real penalties. Whether an omission is material, or a…
- arXiv cs.AIagentsNot Self-Decidable: LLMs Cannot Draw the Boundary of What an Agent Verifier Can Check
arXiv:2610.04699v2 Announce Type: replace Abstract: A verifier for an agent faces rules of two kinds: the ones a fixed check can settle and the ones that require a judge. A team that derives its own checks fixes that spl…
- arXiv cs.AIagentsLearning to Clarify Underspecified Intents Under Limited Interaction
arXiv:2610.04719v1 Announce Type: new Abstract: AI assistants receive requests that leave out information needed for a good outcome, for example about users' preferences or goals. They must then either speculate or ask f…
- arXiv cs.AIagentsToward a Locally Deployable Agentic Co-Scientist: Small-Model Planning for Early-Stage Drug Discovery
arXiv:2610.04740v1 Announce Type: new Abstract: Early-stage computational drug discovery requires coordinating heterogeneous scientific tools across multi-step workflows. We present a lightweight, tool-augmented framewor…
- arXiv cs.AIagentsAgentic discovery of blood biomarker from distilled private health records
arXiv:2610.04749v1 Announce Type: new Abstract: Routine complete blood counts (CBCs) could yield new biomarkers, but the private records needed to evaluate candidates cannot be shared with frontier language model agents…
- arXiv cs.AIagentsPressure, Context, and Machine Self-Control: A Criminological Test of Reward Hacking in Generative AI Models
arXiv:2610.04793v1 Announce Type: new Abstract: Recent incidents show that AI agents sometimes reach measured goals through unsanctioned means. This study applies self-control, general strain, anomie, neutralization and…
- arXiv cs.AIagentsKnowing the Store: What a Memory Backend Must Write Down Before an Agent Can Read It
arXiv:2610.04794v1 Announce Type: new Abstract: An agent with long-term memory can answer from a record it should no longer use, such as a plan the user later cancelled. We ask what a memory store must expose for an agen…
- arXiv cs.AIagentsMedImageOSWorld: Benchmarking GUI Agents for Medical Image Consoles
arXiv:2610.04800v1 Announce Type: new Abstract: Graphical consoles offer a practical interface for medical acquisition assistance, allowing agents to work through the controls and visual feedback used by human operators.…
- arXiv cs.AIagentsAgent Behavior as Code: Efficient and Robust LLM Agents with Programmatic Specifications
arXiv:2610.04824v1 Announce Type: new Abstract: AI agents based on foundation models (FMs) have demonstrated strong capabilities to perform complex open-ended tasks. However, they face some common challenges in practice:…
- arXiv cs.AIagentsMemTrace: State-Consistent Memory for Long-Horizon Coding Agents
arXiv:2610.04838v3 Announce Type: replace Abstract: As coding agents take on long-horizon software evolution tasks spanning multiple files and stages, longer execution trajectories introduce two coupled challenges: (1) a…
- arXiv cs.AIagentsFrom Memory to Guide: Spatio-Temporal Composer for Procedural Coding Memory
arXiv:2610.04868v1 Announce Type: new Abstract: Memory-augmented agents typically integrate procedural knowledge by injecting retrieved skills directly into text prompts. This approach dangerously equates readable text w…
- arXiv cs.AIagentsForkPilot: Self-Evolving Policy for Retrospective Search in Long-Horizon Agents
arXiv:2610.04889v1 Announce Type: new Abstract: Interactive language-model agents increasingly solve complex tasks through long-horizon, multi-call reasoning, where errors in beliefs or actions can compound across tool i…
- arXiv cs.AIagentsSelf-Evaluating Recursive Agents
arXiv:2610.04902v1 Announce Type: new Abstract: Recursive language-model agents decompose tasks and delegate subtasks to child instances of the same policy, forming a tree of work. Training them, however, is hard: the fi…
- arXiv cs.AIagentsVideoResearchAgent: Grounded Task Synthesis and Sim-to-Real RL for Open-Web Video Research
arXiv:2610.04911v1 Announce Type: new Abstract: Existing deep research agents are designed primarily for text- and image-based web sources, while video reasoning systems typically assume that relevant videos are provided…
- arXiv cs.AIagentsAre We Measuring Scientific Intelligence? Rethinking the Evaluation of AI Scientists
arXiv:2610.04915v1 Announce Type: new Abstract: AI agents can now carry out data-driven scientific analyses end to end, and benchmarks assess them by giving an agent a question and a dataset and scoring its final answer…
- arXiv cs.AIagentsBACAM: Behavior-Aware Continual Agent Merging for Multi-Turn Interaction
arXiv:2610.04966v1 Announce Type: new Abstract: Model merging offers a way to integrate the capabilities of specialized experts, but existing agent merging methods typically require all of them to be available at once. W…
- arXiv cs.AIagentsRuntime Authorization of Self-Generated Subgoals in Long-Horizon Tool-Using AI Agents
arXiv:2610.04975v1 Announce Type: new Abstract: Long-horizon tool-using AI agents create subgoals, replan, delegate work, and compose sibling results. Per-tool permission checks cannot establish that a changing goal grap…
- arXiv cs.AIagentsDo LLMs Understand Sequential Structure? A Controlled Study of Inference and Generation
arXiv:2610.04977v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as interactive agents and simulators, yet it remains unclear whether they can recover latent sequential structure beyond…
- arXiv cs.AIagentsCIPO: Counterfactual Imagination Policy Optimization for Adaptive Tool Granularity Selection
arXiv:2610.04991v1 Announce Type: new Abstract: Large language model (LLM) agents solve complex tasks through multi-step interactions with external tools. These interactions often contain recurring local tool sequences.…
- arXiv cs.AIagentsHow corner is a corner case? Percentile control for highway scenario generation
arXiv:2610.05003v1 Announce Type: new Abstract: Generating corner-case scenarios with appropriate adversity in a simulation environment is critical for testing an autonomous vehicle (AV) software stack's safety performan…
- arXiv cs.AIagentsEVISKILL: Grounding Skill Evolution in Replayable Evidence
arXiv:2610.05030v1 Announce Type: new Abstract: Continual skill evolution enables LLM agents to accumulate and refine reusable procedural knowledge from interaction experience without updating model parameters. Its effec…
- arXiv cs.AIagentsLexiHorizon: Stabilizing Reinforcement Learning for Long-Horizon Deep Search
arXiv:2610.05119v1 Announce Type: new Abstract: Deep search agents tackle complex knowledge tasks through iterative retrieval, multi-hop reasoning, and evidence synthesis across multiple sources. Existing approaches typi…
- arXiv cs.AIagentsMemory Canonicalization: A Framework and Benchmark for Cross-Model Drift in Persistent LLM Memory
arXiv:2610.05124v1 Announce Type: new Abstract: Persistent memory for Large Language Models (LLMs) has matured rapidly: systems such as MemGPT/Letta, Mem0, and Zep now provide agents with tiered, temporally-aware, model-…
- arXiv cs.AIagentsAutoSciBench: Autonomous Benchmark Generation for Evaluating Scientific Agents
arXiv:2610.05140v1 Announce Type: new Abstract: As agents rapidly evolve, existing benchmarks can become saturated, limiting their ability to distinguish capabilities and reveal remaining failure modes. Particularly in s…
- arXiv cs.AIagentsMemadapter: Counterfactual Adaptation Against Memory-induced Sycophancy
arXiv:2610.05162v1 Announce Type: new Abstract: Long-term memory enables LLM-based agents to retain and reuse information across tasks and sessions, supporting personalization and long-horizon interactions. However, pers…
- arXiv cs.AIagentsAECG: Asymmetric Experience Consolidation and Governance In Multi-Agent Systems
arXiv:2610.05176v1 Announce Type: new Abstract: Large language model (LLM)-based multi-agent systems increasingly rely on memory to transform execution trajectories into reusable procedural knowledge. Yet repeated retrie…
- arXiv cs.AIagentsFrom Scientific Observations to Mechanisms: Benchmarking Hypothesis Generation by AI Scientists
arXiv:2610.05197v1 Announce Type: new Abstract: Data-driven mechanistic hypotheses are essential to scientific discovery because they explain how underlying processes produce observed phenomena. AI agents and AI scientis…
- arXiv cs.AIagentsSafe Context Switching for Agents in the Wild: Mitigating Subspace Interference via Orthogonal Adaptation
arXiv:2610.05219v1 Announce Type: new Abstract: Most Large Language Models exhibit a fundamental tension between two sequential tasks, such as logical reasoning and safety alignment. The high-variance internal states req…
- arXiv cs.AIagentsLook Before You Leap: Thermodynamic Arbitration of Parametric and Non-Parametric Knowledge in LLM Agents via Self-Regulating Memory Architectures
arXiv:2610.05223v1 Announce Type: new Abstract: The architecture of modern LLMs consists of a profound cognitive polarization. LLMs possess implicit intuition encoded in their parameters, yet rely on a disconnected, expl…
- arXiv cs.AIagentsWhen Agent Context Goes Stale: Incoherence in Volatile Agent Context
arXiv:2610.05281v2 Announce Type: replace Abstract: Modern agents increasingly ground their reasoning in observations returned by tools, such as file contents read from a workspace. However, the data sources underlying t…
- arXiv cs.AIagentsFusion is the New Mutation: Bandit-Guided Evolution on Workflow Graphs
arXiv:2610.05284v1 Announce Type: new Abstract: Automated agentic workflow optimization relies on costly evaluations, making it essential to allocate a limited evaluation budget effectively. Multi-parent fusion can reuse…
- arXiv cs.AIagentsReadable Before Actionable: Causal Tracing of Indirect Prompt Injection
arXiv:2610.05295v1 Announce Type: new Abstract: Indirect prompt injection causes LLM agents to follow commands embedded in external data. A probe may distinguish instructions from data without identifying a state edit th…
- arXiv cs.AIagentsMESH-Harness: Self-Improving Agent Harnesses via Bandit-Guided Compositional Evolution
arXiv:2610.05300v1 Announce Type: new Abstract: An agent harness is the code that organizes context, maintains state, and coordinates tool calls for a language model. We study how to improve the harness under a limited e…
- arXiv cs.AIagentsAgentDiscover: Autonomous Discovery with Minimal Search Scaffolding
arXiv:2610.05334v1 Announce Type: new Abstract: Frameworks that use large language models for scientific discovery typically rely on a fixed, human-designed algorithm that decides what the model sees at each step, leavin…
- arXiv cs.AIagentsSibyl: An Efficient Small-large Model Collaboration Framework for Long-horizon Tasks
arXiv:2610.05383v1 Announce Type: new Abstract: Small language models (SLMs) offer a promising foundation for on-device agents through low-latency, resource-efficient inference, yet limited reasoning and planning capabil…
- arXiv cs.AIagentsMMPostTrainBench: Benchmarking Autonomous Research for Multimodal Post-Training
arXiv:2610.05398v1 Announce Type: new Abstract: Autonomous research seeks sustained model improvements through iterative experimentation and feedback. LLM agents show promise in automating machine learning and language-m…
- arXiv cs.AIagentsCASE: Cost-Aware Stopping for Efficient Long-Video Agents
arXiv:2610.05400v1 Announce Type: new Abstract: Long-video agents can actively gather question-relevant evidence, but they typically leave a central decision implicit: when has the agent seen enough to answer? We propose…
- arXiv cs.AIagentsPharmAgent: Constraint-Aware Search with Frozen Language Models for Molecular Optimization
arXiv:2610.05431v1 Announce Type: new Abstract: Molecular optimization must improve target activity and satisfy developability constraints within limited evaluation budgets. Classical methods require tailored rules or tr…
- arXiv cs.AIagentsTeleTune: Evolving Agent Skills From Offline Telemetry
arXiv:2610.05437v2 Announce Type: replace Abstract: Computer-use agents need to capture procedural knowledge of how people use software. User telemetry offers a scalable source of this knowledge. However, learning reusab…
- arXiv cs.AIagentsHierarchical Reinforcement Learning with Stable Temporal Abstraction for Language Model Agents
arXiv:2610.05473v1 Announce Type: new Abstract: Hierarchical reinforcement learning improves long-horizon control by organizing primitive actions around persistent subgoals and assigning credit at multiple temporal scale…
- arXiv cs.AIagentsCodeForge-MA: Execution-Verified Multi-Agent Learning with Language-Conditioned LoRA for Multilingual Code Generation
arXiv:2610.05481v1 Announce Type: new Abstract: Large language models for code generation often fail on execution, multilingual coverage, and contamination control, especially under frozen backbone constraints. We presen…
- arXiv cs.AIagentsHave I Scene This Before? Spatially Grounded Conversational Memory for Complex Queries in Egocentric Assistants
arXiv:2610.05526v1 Announce Type: new Abstract: Egocentric assistants must connect what users say with what they see across long interaction histories. We formalize this challenge as Spatially grounded Conversational Rea…
- arXiv cs.AIagentsDelegationBench: Measuring When AI Agents Should Ask Before Acting
arXiv:2610.05532v1 Announce Type: new Abstract: AI agents that send emails, edit files, and make purchases must decide when to act on their own and when to check with the user first. This decision is usually evaluated by…
- arXiv cs.AIagentsLifeLong Digital Twin: A Unified Modeling Paradigm and Agent Harness for Event-Driven Lifelong Health State Trajectories
arXiv:2610.05566v1 Announce Type: new Abstract: Human health is a continuous, dynamic trajectory shaped by the cumulative interplay of biological processes, clinical events, behaviors and environmental exposures across t…
- arXiv cs.AIagentsFactoriax: A GPU-Accelerated Factorio-Style Simulator for Reinforcement Learning
arXiv:2610.05569v1 Announce Type: new Abstract: We introduce Factoriax, a GPU-accelerated factory-building simulator written in JAX. In Factoriax, an agent must collect resources, build machines using those resources, an…
- arXiv cs.AIagentsDREAM: Dynamic Resolution Assignment For Multimodal Multi-agent Debate
arXiv:2610.05615v3 Announce Type: replace Abstract: Multi-agent debate (MAD) has emerged as an effective paradigm to improve the reasoning capabilities of large language models (LLMs) and is increasingly being extended t…
- arXiv cs.AIagentsA Framework for Automated Multi-Source Satellite Data Analytics and LLM-Based Report Generation
arXiv:2610.05625v2 Announce Type: replace Abstract: This paper presents the workflow for building an automated ArcGIS Pro tool using ArcPy to extract the Land Surface Temperature (LST) from Landsat 7, 8 and 9 datasets. T…