AI news archive.
4,966 articles filed under Agents, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsContinualSkillBench: Can LLM Agents Truly Evolve Their Capabilities?
arXiv:2608.03874v3 Announce Type: replace Abstract: Modern agent frameworks equip large language models with external skill libraries to solve complex tasks. However, it remains unclear whether these systems can effectiv…
- arXiv cs.AIagentsOctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling
arXiv:2608.05141v2 Announce Type: replace Abstract: Context lengths of language models (LMs) have dramatically increased, driven by the demands for in-context learning, self-improvement, and long-horizon agentic workflow…
- arXiv cs.AIagentsSkillEval: Decomposing Agent Skill Quality into Interpretable Signals
arXiv:2608.06891v2 Announce Type: replace Abstract: Agent skills provide reusable knowledge that helps agents solve specialized tasks. As their use expands, evaluating skill quality becomes increasingly important. Existi…
- arXiv cs.AIagentsReading is not Reasoning: Bridging the Agentic Policy Gap in Vision-Text Compression
arXiv:2608.08960v2 Announce Type: replace Abstract: Multi-step language-model agents repeatedly process growing interaction histories, leading to substantial context costs. Vision--text compression reduces these costs by…
- arXiv cs.AIagentsEmotion2Skill: Model-Internal Emotion Signals for Adaptive Skill Selection and Evolution
arXiv:2608.09248v3 Announce Type: replace Abstract: Skill-based LLM agents select reusable procedures from external libraries to solve complex tasks, yet their routing decisions rely primarily on task descriptions, verba…
- arXiv cs.AIagentsBench2Robust: Scenario-Controlled Recovery for Tool-Using Agents
arXiv:2608.11977v2 Announce Type: replace Abstract: Tool-using LLM agents are typically developed and post-trained in controlled environments with reliable tools, but deployment exposes them to tool failures, API and sch…
- arXiv cs.AIagentsSafeBranch: Branch-Pair Safety Alignment for Embodied Agents
arXiv:2608.19729v2 Announce Type: replace Abstract: Vision-language-model-based embodied agents can complete instructed tasks but often violate safety constraints in the process, a problem recently framed as interactive…
- arXiv cs.AIagentsReguSim: Evaluating LLM Agent Rule Grounding in Financial Compliance
arXiv:2608.19974v2 Announce Type: replace Abstract: LLM agents in financial markets may cite rules yet still submit orders that violate executable constraints or misread surveillance evidence. We introduce ReguSim, a con…
- arXiv cs.AIagentsAgentic neural architecture search for clinical prediction from electronic health records: Cross-hospital knowledge transfer and computational efficiency
arXiv:2608.21712v3 Announce Type: replace Abstract: Transformer architectures for clinical prediction from electronic health records (EHRs) often require costly manual tuning and may vary across hospitals and tasks. We i…
- arXiv cs.AIagentsParallelWorld: Test-Time Scaling for Agentic Embodied Reasoning
arXiv:2608.22971v2 Announce Type: replace Abstract: Embodied AI has emerged as a key paradigm for autonomous systems operating in complex physical environments. While end-to-end models have established strong local capab…
- arXiv cs.AIagentsWhen "Must" Becomes "Maybe": Erosion of Workflow Constraints in LLM Agent Handoffs
arXiv:2608.24569v2 Announce Type: replace Abstract: Large language model (LLM) agents build on one another's work through summaries, plans, and other intermediate artifacts. These records let a downstream agent continue…
- arXiv cs.AIagentsLoopArena: Benchmarking Models as Runtime Controllers for Loop Engineering
arXiv:2608.28281v2 Announce Type: replace Abstract: Loop Engineering is emerging as a practice for organizing development work around coding agents. Instead of writing each prompt by hand, practitioners design loops that…
- arXiv cs.AIagentsRetailAgent: Structured Adverse Timing in Self-Conditioned Multimodal LLM Trading Agents
arXiv:2608.28399v2 Announce Type: replace Abstract: In financial markets, a sequential policy that reacts systematically to price movements may become predictable to other market participants. This paper studies whether…
- arXiv cs.AIagentsComposition without a Host: Carrying the Spatiotemporal-Composability Guarantee of Plugin-Based Agents across Processes
arXiv:2608.28553v4 Announce Type: replace Abstract: Plugin-based agents assemble capabilities at runtime, and the spatiotemporal-composability calculus proves a reversibility guarantee for this assembly. However, the gua…
- arXiv cs.AIagentsDo Agents Know When They Succeed? Calibrating Agent Confidence from Internal Representations
arXiv:2609.09448v2 Announce Type: replace Abstract: As agentic systems getting adopted rapidly in safety critical applications, it is vital to measure the confidence associated with the agentic actions. In comparison to…
- arXiv cs.AIagentsGeoSkill:Experience-Driven Hierarchical Skill Learning with Collaborative Revision forGeospatialAgents
arXiv:2609.13667v2 Announce Type: replace Abstract: Geospatial agents are increasingly expected to support recurring and evolving analytical tasks rather than execute isolated workflows. In such settings, effective agent…
- arXiv cs.AIagentsJaxAHT: A JAX-Based Library for Ad Hoc Teamwork
arXiv:2609.13716v2 Announce Type: replace Abstract: As autonomous agents are increasingly deployed, they must be able to coordinate with previously unseen agents, such as humans. This challenge has been formalized as Ad…
- arXiv cs.AIagentsVQEL: Enabling Self-Play in Emergent Language Games via Agent-Internal Vector Quantization
arXiv:2503.04940v3 Announce Type: replace-cross Abstract: Emergent Language (EL) focuses on the emergence of communication among artificial agents. Although symbolic communication channels more closely mirror the discret…
- arXiv cs.AIagentsA Generalist Hanabi Agent
arXiv:2503.14555v2 Announce Type: replace-cross Abstract: Traditional multi-agent reinforcement learning (MARL) systems can develop cooperative strategies through repeated interactions. However, these systems are unable…
- arXiv cs.AIagentsGenerative AI for Autonomous Driving: A Review
arXiv:2505.15863v2 Announce Type: replace-cross Abstract: Generative AI (GenAI) is rapidly advancing the field of Autonomous Driving (AD), extending beyond traditional applications in text, image, and video generation. W…
- arXiv cs.AIagentsCo-Creative Learning via Metropolis-Hastings Interaction between Humans and AI
arXiv:2506.15468v2 Announce Type: replace-cross Abstract: We propose co-creative learning as a novel paradigm where humans and AI, i.e., biological and artificial agents, mutually integrate their partial perceptual infor…
- arXiv cs.AIagentsCurriculum-Adapted Robust Reinforcement Learning for UAV Deconfliction in Adversarial Environments
arXiv:2506.21129v3 Announce Type: replace-cross Abstract: Autonomous unmanned aerial vehicles (UAVs) increasingly rely on reinforcement learning (RL) for navigation, yet global navigation satellite system (GNSS) spoofing…
- arXiv cs.AIagentsWeb3 x AI Agents: Landscape, Integrations, and Foundational Challenges
arXiv:2508.02773v4 Announce Type: replace-cross Abstract: The convergence of Web3 technologies and AI agents is a rapidly evolving frontier that is reshaping decentralized ecosystems. This paper presents the first compre…
- arXiv cs.AIagentsRCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory
arXiv:2508.04903v4 Announce Type: replace-cross Abstract: Large language model (LLM) agents are increasingly organized into multi-agent systems for complex reasoning and decision-making tasks. However, scaling such syste…
- arXiv cs.AIagentsNeuroFilter: Activation-Based Guardrails for Privacy-Conscious LLM Agents
arXiv:2601.14660v3 Announce Type: replace-cross Abstract: Agentic Large Language Models (LLMs) are models able to reason, plan, and execute tools over unstructured data. These abilities enable transformative applications…
- arXiv cs.AIagentsDRMOT: A Dataset and Framework for RGBD Referring Multi-Object Tracking
arXiv:2602.04692v3 Announce Type: replace-cross Abstract: Referring Multi-Object Tracking (RMOT) aims to track specific targets based on language descriptions, playing a vital role in interactive AI systems such as robot…
- arXiv cs.AIagentsFormal Policy Enforcement for Agentic Systems
arXiv:2602.16708v4 Announce Type: replace-cross Abstract: As agentic computing systems grow increasingly popular, they raise serious security concerns due to their susceptibility to various attacks. While prior research…
- arXiv cs.AIagentsGrammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agents
arXiv:2603.11479v5 Announce Type: replace-cross Abstract: Time Series Event Detection (TSED) aims to localize semantically meaningful events in time series data, with critical applications in high-stakes domains. Unlike…
- arXiv cs.AIagentsOxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism
arXiv:2603.14371v5 Announce Type: replace-cross Abstract: Embodied AI agents increasingly require parallel execution of multiple tasks, such as manipulation, conversation, and memory construction, from shared observation…
- arXiv cs.AIagentsTopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization
arXiv:2603.25063v2 Announce Type: replace-cross Abstract: Recent agentic systems demonstrate that large language models can generate complex codebases from natural language prompts. Despite this progress, they present re…
- arXiv cs.AIagentsJAL-Turn: Joint Acoustic-Linguistic Modeling for Real-Time and Robust Turn-Taking Detection in Full-Duplex Spoken Dialogue Systems
arXiv:2603.26515v2 Announce Type: replace-cross Abstract: Efficient and robust turn-taking detection remains a significant challenge in industrial-grade voice AI agents. Existing systems often rely on acoustic or linguis…
- arXiv cs.AIagentsIMAGAgent: Orchestrating Multi-Turn Image Editing via Constraint-Aware Planning and Reflection
arXiv:2603.29602v2 Announce Type: replace-cross Abstract: Existing multi-turn image editing paradigms are often confined to isolated single-step execution. Due to a lack of context-awareness and closed-loop feedback mech…
- arXiv cs.AIagentsDive into Claude Code: The Design Space of Today's and Future AI Agent Systems
arXiv:2604.14228v3 Announce Type: replace-cross Abstract: Claude Code is an agentic coding tool that can run shell commands, edit files, and call external services on behalf of the user. This study describes its architec…
- arXiv cs.AIagentsNegative Advantages Is a Double-Edged Sword: Calibrating advantages in GRPO for Search Agents
arXiv:2604.18235v3 Announce Type: replace-cross Abstract: Search agents achieve strong question-answering performance through multi-turn interactions with search engines, with Group Relative Policy Optimization (GRPO) be…
- arXiv cs.AIagentsCross-Stage Coherence in Hierarchical Driving VQA: A Consistency Protocol and Parameter-Efficient Gated Context Routing
arXiv:2604.22560v2 Announce Type: replace-cross Abstract: Graph Visual Question Answering (GVQA) for autonomous driving organizes reasoning into ordered stages, namely Perception, Prediction, and Planning, where planning…
- arXiv cs.AIagentsStructure Liberates: How Constrained Sensemaking Produces More Novel Research Output
arXiv:2605.00557v2 Announce Type: replace-cross Abstract: Scientific discovery is an extended process of ideation -- surveying prior work, forming hypotheses, and refining reasoning -- yet existing LLM research agents tr…
- arXiv cs.AIagentsTowards Long-horizon Embodied Agents with Tool-Aligned Vision-Language-Action Models
arXiv:2605.13119v2 Announce Type: replace-cross Abstract: Vision-language-action (VLA) models are effective robot action executors, but they remain limited on long-horizon tasks due to the dual burden of extended closed-…
- arXiv cs.AIagentsConcurrency without Model Changes: Future-based Asynchronous Function Calling for LLMs
arXiv:2605.15077v2 Announce Type: replace-cross Abstract: Function calling, also known as tool use, is a core capability of modern LLM agents but is typically constrained by synchronous execution semantics. Under these s…
- arXiv cs.AIagentsEvolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems
arXiv:2605.29790v2 Announce Type: replace-cross Abstract: LLM-based multi-agent systems (MAS) have emerged as an effective paradigm for complex and long-horizon tasks. However, in real-world tasks, MAS often exhibit vari…
- arXiv cs.AIagentsEconomy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions
arXiv:2606.02859v2 Announce Type: replace-cross Abstract: How can a population of agents self-orchestrate and self-adapt into stronger collective intelligence without centralized control? Inspired by Friedrich Hayek's ec…
- arXiv cs.AIagentsOpenAgenet / OAN White Paper: Open Infrastructure for Trusted Agent Interconnection
arXiv:2606.03161v5 Announce Type: replace-cross Abstract: OpenAgenet, abbreviated as OAN, is an open infrastructure project for trusted Agent interconnection. It addresses a problem that becomes visible when Agents move…
- arXiv cs.AIagentsOpenAgenet / OAN Yellow Paper: Technical Architecture for Trust-Governed Resource Identity and Discovery
arXiv:2606.03163v5 Announce Type: replace-cross Abstract: This yellow paper describes the technical architecture of OpenAgenet / OAN. OAN is a protocol-neutral trust layer for open Agent interconnection and discoverable…
- arXiv cs.AIagentsNoRA: Evaluating Grounded Reasonableness in Visual First-person Normative Action Reasoning
arXiv:2606.04806v2 Announce Type: replace-cross Abstract: LLMs and agentic systems are increasingly deployed in social environments, making normative competence critical for safe and appropriate behavior. However, existi…
- arXiv cs.AIagentsPlan, Watch, Recover: A Benchmark and Architectures for Proactive Procedural Assistance
arXiv:2606.04970v2 Announce Type: replace-cross Abstract: Proactive multimodal assistants must decide when guidance is needed and what to say, while tracking progress through extended procedures and helping users recover…
- arXiv cs.AIagentsOne Skill, Two Masters: Serving Users and Attackers through Skill Injection
arXiv:2606.07943v3 Announce Type: replace-cross Abstract: Large language model agents use skills that package reusable instructions, code, and resources. Existing skill-injection attacks exploit trust in these packages b…
- arXiv cs.AIagentsBeyond Locality: Feature-Boundary Auditing for OS-Integrated AI
arXiv:2606.10173v2 Announce Type: replace-cross Abstract: On-device inference reduces exposure to remote infrastructure, but it does not establish privacy for an operating-system assistant that aggregates cross-applicati…
- arXiv cs.AIagentsTask-Aligned Stability Analysis of Vision-Language Models for Autonomous Driving Hazard Detection
arXiv:2606.11889v2 Announce Type: replace-cross Abstract: Vision-language models (VLMs) are increasingly used for scene understanding in autonomous driving, but robustness analysis often relies on task-agnostic embedding…
- arXiv cs.AIagentsThreadBench: Benchmarking Realism in Agentic Simulation of Real-world Discussions
arXiv:2606.14715v2 Announce Type: replace-cross Abstract: LLM agents are increasingly used to simulate real-world interactions, but it remains unclear whether simulated behaviors preserve the content patterns and interac…
- arXiv cs.AIagentsBeyond Reward Engineering: A Data Recipe for Long-Context Reinforcement Learning
arXiv:2606.18831v2 Announce Type: replace-cross Abstract: Long-context reasoning is an essential capability for large language models, particularly when they are deployed as autonomous agents that must reason over length…
- arXiv cs.AIagentsScholarQuest: A Taxonomy-Guided Benchmark for Agentic Academic Paper Search in Open Literature Environments
arXiv:2606.20235v2 Announce Type: replace-cross Abstract: Academic paper search is a core step in scientific research, and LLM-based search agents are emerging as a promising paradigm for iterative, intent-driven literat…