AI news archive.
4,965 articles filed under Agents, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsMemPilot: Orchestrating On-Demand Multimodal Memory Curation for LLM Agents
arXiv:2610.06830v1 Announce Type: cross Abstract: Memory has become integral to the LLM agent ecosystem, supporting information retention and reuse across interactions. However, most existing agent memory systems constru…
- arXiv cs.AIagentsRecursive Video In-Context Learning for Agentic Robot
arXiv:2610.06843v1 Announce Type: cross Abstract: LLM agents that orchestrate frozen vision-language-action (VLA) policies improve across episodes through text memory, which records what the agent did but not how the tas…
- arXiv cs.AIagentsOne Figure, Every Canvas: Editable Flowchart Relayout via Agentic Pipeline
arXiv:2610.06852v1 Announce Type: cross Abstract: Pipeline figures in ML papers must be repurposed across many canvases, including paper columns, 16:9 slides, portrait posters, 1:1 social teasers, 9:16 phone previews. Ea…
- arXiv cs.AIagentsTowards LLM Agents for Earth Observation
arXiv:2504.12110v3 Announce Type: replace Abstract: Earth Observation (EO) provides critical planetary data for environmental monitoring, disaster management, climate science, and other scientific domains. In this work w…
- arXiv cs.AIagentsOpenPhone: Mobile Agentic Foundation Models
arXiv:2510.22009v3 Announce Type: replace Abstract: With the advancement of multimodal large language models (MLLMs), building GUI agent systems has become an increasingly promising direction--especially for mobile platf…
- arXiv cs.AIagentsWhen Is Enough Not Enough? Illusory Completion in Search Agents
arXiv:2602.07549v3 Announce Type: replace Abstract: In agentic search, an LLM agent searches the web, reads the pages it finds, and decides what to look for next before returning an answer. But can we trust an answer sim…
- arXiv cs.AIagentsDERM-3R: A Resource-Efficient Multimodal Agents Framework for Dermatologic Diagnosis and Treatment in Real-World Clinical Settings
arXiv:2604.09596v2 Announce Type: replace Abstract: Skin diseases impose a substantial and growing global health burden. Modern dermatologic therapies control acute manifestations rapidly, but single-target treatment par…
- arXiv cs.AIagentsFrom Tool to Agent: How Worker Needs Reorganize Across the Agentic Roles of Workplace AI
arXiv:2605.03078v2 Announce Type: replace Abstract: As AI systems gain agency in workplaces, workers increasingly interact with systems that do more than support tasks: they make decisions, allocate work, and shape how w…
- arXiv cs.AIagentsEnvSimBench: A Benchmark for Evaluating and Improving LLM-Based Environment Simulation
arXiv:2605.07247v2 Announce Type: replace Abstract: Scalable AI agents training relies on interactive environments that faithfully simulate the consequences of agent actions. Manually crafted environments are expensive t…
- arXiv cs.AIagentsAgentic AI Scientists Are Not Built For Autonomous Scientific Discovery
arXiv:2605.08956v2 Announce Type: replace Abstract: A growing body of work pursues AI scientists capable of end-to-end autonomous scientific discovery. This position paper argues that although they already function as co…
- arXiv cs.AIagentsPiCA: Pivot-Based Credit Assignment for Search Agentic Reinforcement Learning
arXiv:2605.09287v3 Announce Type: replace Abstract: Large Language Model (LLM)-based search agents trained with reinforcement learning (RL) have significantly improved the performance of knowledge-intensive tasks. Howeve…
- arXiv cs.AIagentsMAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs
arXiv:2605.10064v3 Announce Type: replace Abstract: Self-evolving language-model agents must decide what to learn next and how to preserve what they have learned across iterations. Existing systems typically carry this c…
- arXiv cs.AIagentsAn Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing
arXiv:2605.13221v3 Announce Type: replace Abstract: In cloud manufacturing, unmanned aerial vehicles (UAVs) can support both product collection and mobile edge computing (MEC). This joint operation forms a hybrid schedul…
- arXiv cs.AIagentsAgentic Trading: When LLM Agents Meet Financial Markets
arXiv:2605.19337v2 Announce Type: replace Abstract: Large Language Models (LLMs) combined with autonomous agent architectures are shifting quantitative finance from isolated predictive modeling toward closed-loop trading…
- arXiv cs.AIagentsTowards Direct Evaluation of Harness Optimizers via Priority Ranking
arXiv:2605.22505v3 Announce Type: replace Abstract: Harness optimization enables automated agent creation by having an optimizer agent iteratively update the harness of target agents. Despite its success, current studies…
- arXiv cs.AIagentsPlant, Persist, Trigger: Sleeper Attack on Large Language Model Agents
arXiv:2605.28201v2 Announce Type: replace Abstract: Large Language Model (LLM) agents remain vulnerable to safety threats from the external environment, where attackers inject adversarial content into external observatio…
- arXiv cs.AIagentsCharacterizing How Complex Agentic AI Systems Handle General Tasks: A Trace-Based Simulation Study
arXiv:2606.01725v2 Announce Type: replace Abstract: Agentic AI completes tasks through iterative planning, tool use, and reasoning based on observed outcomes. Despite its popularity, its system-level behavior remains poo…
- arXiv cs.AIagentsSelfEvoSkill: Paired Execution Audits for Skill Revision without External Outcome Supervision
arXiv:2606.14239v2 Announce Type: replace Abstract: Agent skills provide LLM agents with reusable procedures, but a given skill may be incomplete, ineffective, or misleading for the current task. Existing methods for rev…
- arXiv cs.AIagentsRTSGameBench: An RTS Benchmark for Strategic Reasoning by Vision-Language Models
arXiv:2606.18950v3 Announce Type: replace Abstract: Modern Vision-Language Models (VLMs) often struggle with strategic reasoning, i.e., anticipating and influencing other agents' actions, under uncertainty in competitive…
- arXiv cs.AIagentsAgent MechSuits: Mechanistic Subspace Safety Steering for Multi-Turn CLI Agents
arXiv:2606.22673v2 Announce Type: replace Abstract: Command-Line Interface (CLI) agents based on large language models (LLMs) demonstrate remarkable autonomous capabilities, but they also introduce significant safety and…
- arXiv cs.AIagentsMastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction
arXiv:2607.01764v2 Announce Type: replace Abstract: Repository-level vulnerability reproduction is a demanding software engineering (SE) task: an agent must inspect a codebase, infer the input grammar that reaches a vuln…
- arXiv cs.AIagentsAgenticPD: A Stage-Aware Agentic Framework for Closed-Loop Physical Design Optimization
arXiv:2607.04758v3 Announce Type: replace Abstract: Physical design quality-of-results (QoR) optimization is hard and expensive. Choices made at one stage can help or hurt later stages. Each evaluation requires a costly…
- arXiv cs.AIagentsThe Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI
arXiv:2607.06906v2 Announce Type: replace Abstract: Agentic AI development today runs on token maxing: buying capability with tokens -- longer reasoning traces, more turns, wider tool payloads, bigger replayed contexts -…
- arXiv cs.AIagentsCura 1T: Healthcare Foundation Model via Recursive Self-Improvement
arXiv:2607.15314v3 Announce Type: replace Abstract: Healthcare spans high-stakes communication, expert reasoning, and workflow execution, yet specialized language models that cover these use cases together remain limited…
- arXiv cs.AIagentsSKILL-KD: Contrastive Skill Distillation for LLM Agents
arXiv:2607.28048v4 Announce Type: replace Abstract: Skill-based prompting has become a practical mechanism for improving LLM agents, yet existing methods often treat skills as summaries of the agent's own experience or o…
- arXiv cs.AIagentsCTIFoundry: An Agent-Native Corpus Scaffold for Cyber Threat Intelligence
arXiv:2608.18613v2 Announce Type: replace Abstract: Cyber threat intelligence (CTI) is increasingly consumed not by human analysts but by LLM agents that compose multi-step investigations at query time. The harness side…
- arXiv cs.AIagentsRealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests
arXiv:2608.27831v3 Announce Type: replace Abstract: Coding agents are now commonly evaluated on the SWE-bench family of benchmarks, whose tasks are built from curated GitHub issues: long, structured, and information-rich…
- arXiv cs.AIagentsA Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI
arXiv:2505.01458v3 Announce Type: replace-cross Abstract: Navigation and manipulation are core capabilities in Embodied AI, but training agents to perform them directly in the real world is costly, time-consuming, and un…
- arXiv cs.AIagentsResource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and Distillation
arXiv:2508.05234v2 Announce Type: replace-cross Abstract: Current approaches for Multimodal Sentiment Analysis (MSA) primarily leverage the knowledge and reasoning capabilities of parameter-heavy (Multimodal) LLMs for cl…
- arXiv cs.AIagentsZeST: A VLM-based Zero-Shot Traversability Navigation for Unknown Environments
arXiv:2508.19131v4 Announce Type: replace-cross Abstract: Advances in robotics and autonomous navigation systems hinge on the ability to predict terrain traversability accurately. Traditional methods for generating datas…
- arXiv cs.AIagentsCOCORELI: Enforcing Execution Preconditions for Reliable Collaborative Instruction Following
arXiv:2509.04470v3 Announce Type: replace-cross Abstract: Autonomous agents executing human instructions must operate reliably even when instructions are incomplete. While recent approaches improve detection of missing i…
- arXiv cs.AIagentsFreshBrew: A Benchmark for Evaluating AI Agents on Java Code Migration
arXiv:2510.04852v3 Announce Type: replace-cross Abstract: AI coding assistants are rapidly becoming integral to modern software development. A key challenge in this space is the continual need to migrate and modernize co…
- arXiv cs.AIagentsUser Misconceptions of LLM-Based Conversational Programming Assistants
arXiv:2510.25662v3 Announce Type: replace-cross Abstract: Programming assistants powered by large language models (LLMs) have become widely available, with conversational assistants such as ChatGPT particularly accessibl…
- arXiv cs.AIagentsScalable Decision Making for Games of Imperfect Information
arXiv:2511.07312v2 Announce Type: replace-cross Abstract: Real-world decision-making generally involves hidden information, that is, information that is unknown to one agent but possessed by another. Unfortunately, the p…
- arXiv cs.AIagentsHierarchical Decentralized Multi-Agent Coordination with Privacy-Preserving Knowledge Sharing: Extending AgentNet for Scalable Autonomous Systems
arXiv:2512.00614v2 Announce Type: replace-cross Abstract: Decentralized multi-agent systems have shown promise in enabling autonomous collaboration among LLM-based agents. While AgentNet demonstrated the feasibility of f…
- arXiv cs.AIagentsATOD: An Evaluation Framework and Benchmark for Agentic Task-Oriented Dialogue Systems
arXiv:2601.11854v3 Announce Type: replace-cross Abstract: Agentic task-oriented dialogue (TOD) requires systems to track concurrent goals, dependencies, and long-horizon state. We examine goal-lifecycle recovery from fix…
- arXiv cs.AIagentsSame Pieces, Different Servers: A Tetris Benchmark for AI Agents as Served
arXiv:2603.02348v2 Announce Type: replace-cross Abstract: An agent meets a model as served: through an endpoint with a price card, a shared cache and other tenants, or on whatever hardware a self-hosted model runs. Bench…
- arXiv cs.AIagentsCOMIC: Agentic Sketch Comedy Generation
arXiv:2603.11048v2 Announce Type: replace-cross Abstract: We propose a fully automated AI system that produces short comedic videos similar to sketch shows such as Saturday Night Live. Starting from character references,…
- arXiv cs.AIagentsMulti-Agent Reinforcement Learning Counteracts Delayed CSI in Multi-Satellite Systems
arXiv:2603.16470v2 Announce Type: replace-cross Abstract: The integration of satellite communication networks with next-generation (NG) technologies is a promising approach towards global connectivity. However, the quali…
- arXiv cs.AIagentsWebNavigator: Global Web Navigation via Interaction Graph Retrieval
arXiv:2603.20366v2 Announce Type: replace-cross Abstract: Despite significant advances in autonomous web navigation, current methods remain far from human-level performance in complex web environments. We argue that this…
- arXiv cs.AIagentsAn AI Teaching Assistant for Motion Picture Engineering
arXiv:2604.04670v2 Announce Type: replace-cross Abstract: The rapid rise of LLMs over the last few years has promoted growing experimentation with LLM-driven AI tutors. However, the details of implementation, as well as…
- arXiv cs.AIagentsEvaluating a Layered Prompt-Injection Defence for the Model Context Protocol: A Record-Level Audit of Decision Conventions, Corpus Provenance and Reproducibility
arXiv:2604.17125v3 Announce Type: replace-cross Abstract: The Model Context Protocol (MCP) extends the prompt-injection attack surface of large language model applications to tool descriptions, parameter schemas and tool…
- arXiv cs.AIagentsActive Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
arXiv:2605.05703v3 Announce Type: replace-cross Abstract: Optimizing the communication structure of large language model based multi-agent systems (LLM-MAS) has been shown to improve downstream performance and reduce tok…
- arXiv cs.AIagentsThe Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting
arXiv:2605.07671v3 Announce Type: replace-cross Abstract: An agent's probability report is paid for twice: by a strictly proper scoring rule, and by an approval rule for the decision it triggers. In this classical decisi…
- arXiv cs.AIagentsLarge Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety
arXiv:2605.12729v4 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly being used in network operations (NetOps) and artificial intelligence for IT operations (AIOps) for tasks ranging fr…
- arXiv cs.AIagentsAgentLens: Revealing The Lucky Pass Problem in SWE-Agent Evaluation
arXiv:2605.12925v4 Announce Type: replace-cross Abstract: Evaluation of software engineering (SWE) agents is dominated by a binary signal: whether the final patch passes the tests. This outcome-only view treats a princip…
- arXiv cs.AIagentsPopPy: Opportunistically Exploiting Parallelism in Python Agentic Workflows
arXiv:2605.18697v2 Announce Type: replace-cross Abstract: Agentic workflows, which compose calls to ML models using a general-purpose programming language like Python, are widely used for a variety of user-facing tasks,…
- arXiv cs.AIagentsMMBU: A Massive Multi-modal Biomedical Understanding Benchmark to Probe the Perception Capabilities of Vision-Language Models
arXiv:2606.06696v2 Announce Type: replace-cross Abstract: Vision and language models (VLMs) hold immense promise to transform biomedical imaging workflows, from detecting lesions in chest X-rays to profiling cellular fea…
- arXiv cs.AIagentsEgoSafetyBench: A Diagnostic Egocentric Video Benchmark for Evaluating Embodied VLMs as Runtime Safety Guards
arXiv:2607.00218v2 Announce Type: replace-cross Abstract: Vision-language models (VLMs) are increasingly proposed as runtime safety guards for embodied agents in homes and factories. A deployable guard must catch genuine…
- arXiv cs.AIagentsFrom Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form Narratives
arXiv:2607.00918v2 Announce Type: replace-cross Abstract: Although large language models (LLMs) have demonstrated impressive creative fiction generation, they struggle to maintain narrative consistency and coherent plot…