News / #agents Tag Agents + tool use 500 articles archived under #agents · RSS Sign in to follow arXiv — NLP / Computation & Language research 14d ago Baikal: Structured Search for Deep Research over Data Lakes arXiv:2607.27726v1 Announce Type: cross Abstract: Deep research over data lakes requires an LLM agent to investigate evidence across thousands of heterogeneous tables and passages to synthesize a report. Existing methods perform iterative retrieval and generation, letting… 37 arXiv — NLP / Computation & Language research 14d ago MemTxn: A Transaction Boundary for Source-Supported Updates and Complete-State Recovery in Agent Memory arXiv:2607.27834v1 Announce Type: cross Abstract: Persistent memory lets long-running large language model agents reuse information across sessions and tasks. Yet errors in writable memory can persist and corrupt future behavior. Existing systems improve storage and retrieval,… 18 arXiv — NLP / Computation & Language research 14d ago Change2Task: From Repository Changes to Executable Coding Agent Tasks and Environments arXiv:2607.28591v1 Announce Type: cross Abstract: Scaling coding agents requires a continuing supply of executable data for training, benchmarking, and continuous evaluation. Each task must couple a realistic software state with a specification, development tools, and reliable… 15 arXiv — NLP / Computation & Language research 14d ago OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models arXiv:2607.28609v1 Announce Type: cross Abstract: Computer-using agents (CUAs) are advancing rapidly across the digital world. A CUA trajectory records the agent's actions, states, and reasoning. Verifying whether it fulfilled the task instruction is central to CUA evaluation,… 17 Hugging Face Daily Papers research 14d ago LEDGERMIND: Provenance-Constrained Multimodal Agentic Reasoning with a Structured Evidence Ledger Abstract Multimodal agents for visual question answering increasingly operate as multi-step trajectories that interleave perception, retrieval, and reasoning, yet evaluation still largely reduces to final-answer accuracy. This aggregate signal cannot tell whether a correct… 37 Hugging Face Daily Papers research 14d ago AI Tour Meeting: Group Travel Planning by LLM Agents Abstract This paper proposes AI Tour Meeting, a group travel planning framework powered by multiple Large Language Model (LLM)-based agents. The agents are instantiated with distinct personas and collaboratively seek an itinerary that satisfies their constraints and preferences… 36 Hugging Face Daily Papers research 14d ago Beyond Borrowed Histories: Person-Aligned User Simulation for Interactive Role-Playing Evaluation Abstract Role-playing agents (RPAs) have become one of the most important consumer applications of large language models. Users engage in multi-turn conversations with RPAs for experiences such as emotional comfort, making reliable evaluation essential for measuring capability,… 24 Hugging Face Daily Papers research 14d ago Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents Abstract GUI agents have the potential to become a general purpose executor over existing digital devices. To advance them toward real-world use, we envision agents that operate reliably on real devices, execute workflows across platforms, combine GUI interaction with CLI… 31 Hugging Face Daily Papers research 14d ago Beacon: Knowing When and How to Perform Agentic Visual Reasoning Abstract The fundamental goal of agentic visual reasoning is to improve the success rate of multimodal large language models (MLLMs) on complex tasks, rather than merely equipping them with a sophisticated yet inefficient reasoning paradigm. In this work, we rethink agentic… 14 Hugging Face Daily Papers research 14d ago BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Abstract Retrieval-augmented generation (RAG) spans lexical and dense retrieval, graph-based indexing, and agentic search, but these paradigms are usually evaluated on different benchmarks at one corpus size, leaving their accuracy-cost scaling unclear. To bridge this gap, we… 29 Hugging Face Daily Papers research 14d ago Harness-G: A Graph-Structured Harness for Search Agents Abstract Reinforcement learning (RL) search agents commonly model retrieval as free-form natural-language query generation and optimize multi-turn interactions using final-answer rewards. Current studies mainly improve training with denser or more structured credit signals, but… 22 Hugging Face Daily Papers research 14d ago Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Abstract Computer-use agents learn from what their actions change, so training one needs applications it can act on, break and reset. The applications that matter most are login-gated and stateful, so synthetic environments stand in for them. Recent pipelines generate such… 30 Hugging Face Daily Papers research 14d ago AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis Abstract Chemistry literature synthesis often requires assembling specific findings scattered across many publications, yet existing literature-search systems primarily return ranked document lists. As a result, scientists and AI agents need to locate relevant information,… 38 Hugging Face Daily Papers research 14d ago Metis: Memory Foundation Model Abstract Recent advances in AI agents have increasingly internalized native capabilities into their underlying foundation models, giving rise to multimodal foundation models and large reasoning models. However, agent memory is still primarily implemented through external… 7 Hugging Face Daily Papers research 14d ago VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System Abstract Text-to-video models have achieved remarkable visual quality, yet they still struggle to generate physically consistent dynamics because the temporal evolution of a scene must be inferred implicitly from a highly compressed text prompt. Existing chain-of-thought… 11 Hugging Face Daily Papers research 14d ago MemHarness: Memory Is Reconstructed, Not Replayed Abstract Retrieving past experiences has become a common strategy to enhance large language model agents. However, most existing memory-augmented agents treat retrieved experiences as static records to be replayed verbatim, injecting them into the context regardless of whether… 15 Hugging Face Daily Papers research 14d ago SpatialCLI: Learning to Reason With Spatial Tools, Then Without Them Abstract Vision-language models (VLMs) are increasingly used in embodied agents to interpret visual inputs, reason about spatial relationships, and make task-level decisions based on that reasoning. However, a fundamental capability mismatch remains: general VLMs can reason… 14 Vercel — AI dev-tools 14d ago 10x more capacity for Laguna S 2.1 on AI Gateway Laguna S 2.1 from Poolside now has 10x more capacity on AI Gateway. The increase applies to the paid version, poolside/laguna-s-2.1 , and the free version, poolside/laguna-s-2.1-free , so you can send far more requests, good for high-volume agentic coding and long-running tasks.… 10 Vercel — AI dev-tools 14d ago Vercel MCP now supports the 2026-07-28 MCP specification Vercel MCP now supports the 2026-07-28 MCP specification, giving newer clients a stateless request model and updated authorization behavior without any change on the client side. Clients built for the 2025 protocol keep working exactly as before, and clients that understand the… 36 NVIDIA Developer Blog official-blog 14d ago Four Ways to Deploy More Secure AI Agents Knowledge workers are increasingly integrating AI agents into their workflows. Agents that function as "digital coworkers" offer clear benefits. For example,... 4 Hugging Face Daily Papers research 14d ago SpecFirst: Behavioral Specification Elicitation as a First-Class Step in Agent-Based Program Synthesis from Scratch Abstract LLM-based agents excel at software engineering tasks where an existing codebase provides context, but constructing a program from scratch remains fundamentally harder. Recent benchmarks such as ProgramBench quantify this gap: given only natural-language documentation… 18 Hugging Face Daily Papers research 14d ago MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis Abstract Coding agents have made substantial progress on software engineering tasks that modify existing codebases, including bug fixing and feature implementation. However, constructing a complete program from scratch remains a major challenge: even the frontier models… 34 Hugging Face Daily Papers research 14d ago Voice Memory for Agentic Speech Recognition Abstract We present Voice Memory, a inference-only scheme for agentic speech recognition: at stream time, a frozen corrector reads a single per-domain memory.md and decides per utterance whether to act on the hypothesis or abstain and keep the 1-best. Asynchronously, a… 12 TechCrunch — AI news-outlet 15d ago Okta buys AI security startup Permiso; source says for about $200M The deal gives Okta identity threat detection capabilities as enterprises seek to secure AI agents and other non-human identities across cloud environments. 35 Ars Technica — AI news-outlet 15d ago With a stateless makeover, new MCP spec targets enterprise scale Plus, a new deprecation policy ensures features aren't removed suddenly. 25 r/LocalLLaMA community 15d ago Software Engineers: Do you honestly get anything useful out of LLMs? For 6 months now I've been trying to make agentic coding work for me, using Pi and a handful 30-120B models (Qwens, Nemotrons, Leguna...etc). I'm not greedy either, I stick to decent quants, never quantize kv cache, and keep my sessions up to 90k max. But the results have ALWAYS… 34 Latent.Space news-outlet 15d ago Ontologies Are So Back: Why AI Agents Are Reviving the Semantic Web AI engineers are rediscovering ontologies as a way to keep probabilistic agents inside deterministic boundaries. 6 Hugging Face Daily Papers research 15d ago Can AI agents conduct open-ended AI research? Early evidence from two case studies Abstract Forecasts of explosive AI progress hinge on AI agents automating AI research. But evidence on whether agents can carry out open-ended AI research is thin. Current evaluations either test agents on narrow, verifiable tasks, which excludes open-ended research, or submit… 32 Hugging Face Daily Papers research 15d ago GPT-Red: Automated Red Teaming via Self-Play at Scale Abstract We introduce GPT-Red, an automated red-teaming agent that is trained to discover novel prompt injection attacks against frontier LLMs. The goal of this model is to evaluate and improve the robustness of our production systems. To this end, we use it to adversarially… 27 Hugging Face Daily Papers research 15d ago OmegaUse-OfficeVal: Benchmarking LLM Agents on Long-Horizon Office-Suite Tasks with Economic Grounding Abstract Large language model (LLM) agents are increasingly expected to assist users in completing tasks. However, existing benchmarks provide limited support for evaluating whether agents can carry out office-suite workflows at a reasonable cost. We introduce… 14 Hugging Face Daily Papers research 15d ago SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response Abstract Large Language Model (LLM) agents are increasingly adopted in real-world security operations with access to host artifacts and command-line interfaces (CLIs), making it critical to thoroughly assess their security capabilities. However, existing cybersecurity benchmarks… 36 Smol AI News news-outlet 15d ago not much happened today **OpenAI** aggressively cut prices for **GPT-5.6 Luna** by 80% and **Terra** by 20%, introducing a faster **Sol Fast** tier with up to 2.5× lower latency at double the price, improving agent workflow costs by roughly 10×. The **ARC-AGI-3** debate highlighted that the complete… 14 arXiv — Machine Learning research 15d ago Emergent Sparsity in Frozen Random CNN Feature Extractors for Deep Reinforcement Learning arXiv:2607.26059v1 Announce Type: new Abstract: We report a striking phenomenon: deep reinforcement learning agents trained with frozen, randomly initialized CNN feature extractors spontaneously develop extremely sparse fully-connected representations, without any… 25 arXiv — Machine Learning research 15d ago Top-$k$ Pareto Bandits: Hypervolume Regret for Multi-Objective Slate Selection arXiv:2607.26273v1 Announce Type: new Abstract: We consider a stochastic multi-objective bandit problem where, at each round, the agent selects a slate of $k$ arms and observes their $d$-dimensional reward vectors under semi-bandit feedback. We do not aim at identifying a single… 35 arXiv — Machine Learning research 15d ago From Conceptual Hydrologic Models to Conceptually Interpretable Neural Networks: A Snow-Water Mass-Conserving-Perceptron Framework for Discovering Catchment-Scale Precipitation-Storage-Runoff Representations arXiv:2607.26492v1 Announce Type: new Abstract: The Mass-Conserving Perceptron (MCP) establishes a modeling paradigm in which conceptual hydrologic models can be reformulated as physically constrained, conceptually interpretable neural networks. Here, we develop a snow-water MCP… 35 arXiv — Machine Learning research 15d ago SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution arXiv:2607.26784v1 Announce Type: new Abstract: Large language model agents often encounter related yet distinct tasks that share reusable solution patterns. Yet standard agentic reinforcement learning treats tasks as independent episodes, while existing approaches to skill… 28 arXiv — Machine Learning research 15d ago Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions arXiv:2607.26820v1 Announce Type: new Abstract: As large language models (LLMs) evolve from standalone assistants into autonomous agents, ensuring their safety requires shifting beyond pointwise risk assessment to understand how risks emerge and unfold over long-horizon… 4 arXiv — Machine Learning research 15d ago Two Calls Beat Five Agents: Evaluating Multi-Agent Pipelines Against Self-Refinement for Local Language Models arXiv:2607.26922v1 Announce Type: new Abstract: Multi-agent LLM pipeline systems break down the task among multiple roles for better reasoning, but are benchmarked mainly with large-scale commercial models. In this study, we investigate Parishad, a structured multi-agent system… 22 arXiv — Machine Learning research 15d ago Scores Are Not Decisions: Cost-Aware Stopping for Tool Acquisition in LLM Agents arXiv:2607.27083v1 Announce Type: new Abstract: As LLM agents increasingly depend on diverse external services such as search engines, databases, and connectors, agent harnesses face a fundamental tool-selection challenge: acquiring too few tools leaves the task under-informed,… 25 arXiv — Machine Learning research 15d ago Minimal Markovization via Stable Quotients in Holonomy-Cover Decision Processes arXiv:2607.27132v1 Announce Type: new Abstract: An agent acting under partial observability must retain a recursively updateable statistic of history that restores the Markov property, but the smallest such statistic is generally unknown. We characterize this minimal Markov… 26 arXiv — NLP / Computation & Language research 15d ago GPT-Red: Automated Red Teaming via Self-Play at Scale arXiv:2607.26115v1 Announce Type: cross Abstract: We introduce \textbf{GPT-Red}, an automated red-teaming agent that is trained to discover novel prompt injection attacks against frontier LLMs. The goal of this model is to evaluate and improve the robustness of our production… 11 arXiv — Machine Learning research 15d ago Try Again, Don't Look Back: Blind Resampling Outperforms Self-Repair in Small Code Models arXiv:2607.26117v1 Announce Type: cross Abstract: Self-repair - returning a failed program to the model together with its test output and asking for a correction - is a standard component of code agents, and is almost always evaluated against a baseline that does not retry at… 10 arXiv — NLP / Computation & Language research 15d ago AgentGUI: An Interface for Observing and Steering Long-Running AI Agents arXiv:2607.26300v1 Announce Type: new Abstract: AI agents are increasingly adept at tackling complex, long-running tasks. With the rapid surge of autonomous capabilities, human oversight is systematically lagging behind due to limited human-centered interfacing. Aiming to… 19 arXiv — NLP / Computation & Language research 15d ago (Im)Paired Programming: Coding Agents Improve Productivity but Harm Understanding arXiv:2607.26375v1 Announce Type: new Abstract: Coding agents (e.g., Cursor) improve developer productivity by optimizing task completion, but shifting users from writing code to prompting and reviewing may harm their understanding, impeding oversight, learning, and… 35 arXiv — NLP / Computation & Language research 15d ago Voice Memory for Agentic Speech Recognition arXiv:2607.26410v1 Announce Type: new Abstract: We present Voice Memory, a inference-only scheme for agentic speech recognition: at stream time, a frozen corrector reads a single per-domain memory.md and decides per utterance whether to act on the hypothesis or abstain and keep… 29 arXiv — NLP / Computation & Language research 15d ago Which RAG Paradigm Wins at Scale? A Scaling Study of Retrieval-Augmented Generation Paradigms arXiv:2607.26497v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) methods range from lexical and dense retrieval to graph-based indexing and agentic search. They are usually evaluated on different benchmarks at one corpus size, leaving their accuracy-cost… 35 arXiv — NLP / Computation & Language research 15d ago WikiLoop: Jointly Learning to Build and Navigate Agent-Native Wikis with Downstream Feedback arXiv:2607.26604v1 Announce Type: new Abstract: Knowledge-base construction and querying are typically optimized in isolation: retrieval-augmented agents operate over a fixed, externally maintained index, whereas construction receives no signal from downstream use. We present… 15 arXiv — NLP / Computation & Language research 15d ago Filesystem-Based Memory for LLM Agents: Organization, Evolution, and Sustainability arXiv:2607.26637v1 Announce Type: new Abstract: Deployed LLM agents increasingly keep their long-term memory as a filesystem: a directory tree of markdown files that the agent itself reads, writes, and reorganizes through generic file tools. Yet research has largely passed over… 10 arXiv — NLP / Computation & Language research 15d ago Metis: Memory Foundation Model arXiv:2607.26760v1 Announce Type: new Abstract: Recent advances in AI agents have increasingly internalized native capabilities into their underlying foundation models, giving rise to multimodal foundation models and large reasoning models. However, agent memory is still… 35 arXiv — NLP / Computation & Language research 15d ago TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip Planning arXiv:2607.26977v1 Announce Type: new Abstract: Travel planning is a demanding stress test for tool-using LLM agents: a usable itinerary is a single artifact that must be right along many axes at once - every flight, hotel, and attraction must exist and be bookable, the days… 29 Page 10 of 10 · 500 articles ← Newer
