News / #agents Tag Agents + tool use 500 articles archived under #agents · RSS Sign in to follow Hugging Face Daily Papers research 8d ago Hierarchical Self-Improvement: A Framework for Task-Specific Evolvable Agent Harnesses Abstract Hierarchical Self-Improvement evolves task-specific execution harnesses for frozen LLM agents via hierarchical self-modification, yielding substantial gains on moderate tasks while being bounded by feedback quality and backbone limits. Generated by… 30 NVIDIA Developer Blog official-blog 9d ago NVIDIA AVO Reaches 100% on ARC-AGI-3, Demonstrating a Frontier-Level General-Purpose Architecture for Long-Horizon Autonomous Agents A frontier language model is only one component of an AI agent. The surrounding agent system—often called a harness—determines how the model receives... 18 NVIDIA Developer Blog official-blog 9d ago Where Security Fits in an AI Agent Stack As AI agents become more capable and operate over longer horizons, building security and trust into the applications they power becomes increasingly important.... 28 r/LocalLLaMA community 9d ago Ornith-1.5-35B-A3B-NInfer - 250 tok/s, 5-8k prefill, 5090 I tried this model yesterday, and it felt to me like the best one I've tried for a local model for interactive use; the responses and reasoning are very fast, and it actually performs agentic tasks well. The speed is phenomenal. I am running this on Ninfer for Windows -… 37 r/LocalLLaMA community 9d ago I got fed up with locked-down autocomplete, so I forked Continue and stripped it down to just tab-completion. Any model, no subscription and no remote telemetry I kept running into the same wall. Every agentic coding plugin ships an autocomplete, and almost all of them lock it down — no model choice, or a subscription, or both. I don't want a chat panel, I don't want an agent rewriting my repo. I want ghost text that finishes the line… 8 Hugging Face Daily Papers research 9d ago SWE-bench Science: Can Coding Agents Resolve Engineering Tasks in Science? Abstract SWE-bench Science benchmarks coding agents on scientific software repair, revealing failure mechanisms and mixed effects of scientific guidance. Generated by thinkingmachines/Inkling-Small Software increasingly functions as part of the scientific instrument itself,… 17 Smol AI News news-outlet 9d ago not much happened today **Ox Alpha** emerged as a mystery model with strong coding and agentic performance, likely a **Zhipu/GLM-family** model such as **GLM-5.3 Vision**. Analysts suggest its gains come from post-training and infrastructure improvements rather than sheer size, based on the **743B… 10 arXiv — Machine Learning research 9d ago DeltaML-Bench: Evaluating Machine Learning Agents on Real-World Research Repositories arXiv:2608.19653v1 Announce Type: new Abstract: Autonomous agents for machine learning experimentation must navigate heterogeneous repositories, repair training pipelines, and evaluate candidate improvements under realistic compute constraints. Existing benchmarks only partially… 6 arXiv — NLP / Computation & Language research 9d ago Credit Without Ground Truth: Auditing Step-Level Credit Assignment in LLM Agents Against Executed Replay arXiv:2608.19760v1 Announce Type: cross Abstract: Audited against causal ground truth from executed replay in a single-agent tool environment (ALFWorld), none of the step-level credit signals used to train LLM agents -- LLM-judge scores, outcome-conditioned logprob ratios, or… 8 arXiv — NLP / Computation & Language research 9d ago MileGPO: Milestone Inference with Local Evidence for Graph-Based Policy Optimization of Long-Horizon LLM Agents arXiv:2608.19803v1 Announce Type: cross Abstract: Credit assignment is challenging in long-horizon agentic reinforcement learning, where supervision often comes only from final rewards. Existing methods refine trajectory-level signals into step-level credits through step… 30 arXiv — Machine Learning research 9d ago Inadvertent Context Leakage in Language Models arXiv:2608.19857v1 Announce Type: new Abstract: For AI agents to be useful beyond simple chat, they must hold sensitive user context such as calendars, credentials, health records, and financial data. We study whether the mere presence of such secrets in a model's context window… 13 arXiv — NLP / Computation & Language research 9d ago Active Inference as Context Acquisition for AI Agents arXiv:2608.19202v1 Announce Type: cross Abstract: Interactive AI agents must acquire the right context as efficiently as possible. When a user omits a constraint, preference, file, or task variable, an agent can proceed with a default assumption or spend tokens on a clarifying… 4 arXiv — NLP / Computation & Language research 9d ago Time-Series Retrieval for Grounding Multimodal Language Models in Remaining Useful Life arXiv:2608.19218v1 Announce Type: new Abstract: Large language models (LLMs) and agentic AI systems are increasingly being explored for domain-specific maintenance and prognostics tasks, raising the question of whether they can effectively support prognostics and health… 31 arXiv — Machine Learning research 9d ago An Irreducible Quantum Advantage in Aligning World Models with Reality arXiv:2608.19779v1 Announce Type: cross Abstract: World models provide digital simulacra of the true world, allowing agents to be trained and tested before costly real-world deployment. At each time step, they receive an action and generate an observation and reward matching the… 37 arXiv — NLP / Computation & Language research 9d ago Remember, Verify, or Ask? Cross-Family Evaluation of Memory Commitment in LLM Agents arXiv:2608.19564v1 Announce Type: new Abstract: Persistent memory can personalize an LLM agent, but an incorrect durable update can silently distort future behavior. We study the memory-clarification boundary: whether interaction-derived information should be persisted, used… 17 arXiv — NLP / Computation & Language research 9d ago Mitigating Identity Essentialism in LLM Agents with Longitudinal Life Trajectories arXiv:2608.19621v1 Announce Type: new Abstract: Large language models (LLMs) offer a scalable approach to social simulation, but their credibility depends on how agents are constructed. Existing methods can partially reproduce population-level patterns, yet often fail to capture… 30 arXiv — NLP / Computation & Language research 9d ago ReCache: Efficient KV Cache Reuse and Compression for Tool-Augmented LLM Agents arXiv:2608.19662v1 Announce Type: new Abstract: Agentic language models repeatedly encode tool and skill schemas that recur across requests in different combinations and orders, preventing standard prefix caching from reusing their key--value (KV) states. We introduce… 36 arXiv — NLP / Computation & Language research 9d ago One Success Isn't Reliability: Thinkingbox, a Sandbox and Benchmark for Agents in Stateful Business Workflows arXiv:2608.19741v1 Announce Type: new Abstract: Recent agent benchmarks increasingly ground evaluation in executable environments, from code repair to web navigation, app APIs, and function calling. Yet completing consequential work beyond code requires more than producing a… 23 arXiv — NLP / Computation & Language research 9d ago SWE-bench Science: Can Coding Agents Resolve Engineering Tasks in Science? arXiv:2608.19799v1 Announce Type: new Abstract: Software increasingly functions as part of the scientific instrument itself, making failures in scientific code capable of compromising not only program behavior but also the evidence underlying scientific conclusions. Yet existing… 11 arXiv — NLP / Computation & Language research 9d ago A knowledge-guided agentic framework for mitigating patient-context ambiguity in health queries arXiv:2608.19875v1 Announce Type: new Abstract: Patients often submit short, underspecified queries to healthcare chatbots that lack the patient-specific information needed to determine an appropriate response. Although these queries may be linguistically clear, they can support… 37 arXiv — NLP / Computation & Language research 9d ago Task-CoEvolve: Efficient Harness Optimization via Adaptive Validation Task Selection arXiv:2608.20169v1 Announce Type: new Abstract: We present a novel approach to efficient LLM agent harness optimization through adaptive validation task selection. Harness optimization iteratively rewrites the harness code based on validation performance, enabling substantial… 24 arXiv — NLP / Computation & Language research 9d ago Outcome Monitors: Recovery Affordances for Silent Tool Failures arXiv:2608.19303v1 Announce Type: cross Abstract: When a tool call times out, the agent sees the failure and can route around it. A cached error page or negative price can instead arrive in the expected format and be consumed as fact. We introduce Outcome Monitors, which detect… 38 arXiv — NLP / Computation & Language research 9d ago Can Agent Memory Systems Track Evolving State? arXiv:2608.19652v1 Announce Type: cross Abstract: As LLM-based agents are deployed for longer and higher-stakes tasks, their memory systems continue to have crucial gaps. While existing memory benchmarks focus largely on recall-shaped tasks, we argue an effective memory system… 7 arXiv — NLP / Computation & Language research 9d ago PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents arXiv:2608.19861v1 Announce Type: cross Abstract: Customer-service LLM agents must follow organizational policy when acting on a user's behalf. Compliance failures arise from either forbidden actions, such as granting an ineligible change, or omitted procedural requirements,… 21 arXiv — NLP / Computation & Language research 9d ago EnvHarness: Awakening Static Worlds for Agent Learning arXiv:2608.19880v1 Announce Type: cross Abstract: LLM agents learn by interacting with environments, yet these environments are hand-built and static: blind to an agent's weaknesses, and quickly left behind as it improves. While recent environment generation methods attempt to… 34 arXiv — NLP / Computation & Language research 9d ago Reward-Guided Autoregressive Graph Generation for Efficient Multi-Agent Communication Topology Design arXiv:2608.20099v1 Announce Type: cross Abstract: LLM-based Multi-Agent Systems (MAS) achieve strong performance on complex reasoning tasks by coordinating multiple agents, but at the cost of substantial token consumption. Recent work on automatic topology design, ARG-Designer,… 22 arXiv — NLP / Computation & Language research 9d ago Break It Down, Pass It On: Cross-Task Skill Transfer in LLM Agents arXiv:2608.20274v1 Announce Type: cross Abstract: Large language model (LLM) agents can induce skills from completed tasks and reuse them later to grow more capable with experience. In practice, induced skills may transfer unreliably and can even harm the agent that retrieves… 23 arXiv — NLP / Computation & Language research 9d ago AI4AI-Bench: Benchmarking LLM Agents in Algorithmic Design for Recursive Self-Improvement arXiv:2608.20318v1 Announce Type: cross Abstract: Recursive self-improvement (RSI) asks whether an AI system can improve the process that produces AI systems, so that the next system inherits the improvement. That process is the training algorithm: a better objective or update… 29 arXiv — NLP / Computation & Language research 9d ago An Agentic Approach for Active Data Collection, Travel Behavior Modeling, and Weather-Sensitive Demand Prediction arXiv:2608.20320v1 Announce Type: cross Abstract: Travel behavior research increasingly combines digital data collection with predictive modeling, yet these stages are often developed and evaluated separately. This study proposes a three-agent workflow integrating conversational… 16 arXiv — NLP / Computation & Language research 9d ago When Contextual Inference Fails: Cancelability in Interactive Instruction Following arXiv:2603.19997v2 Announce Type: replace Abstract: We investigate the separation of literal interpretation from contextual inference in a collaborative block-building tasks, where an agent must resolve underspecified instructions using context. We adapt an existing two-speaker… 8 arXiv — NLP / Computation & Language research 9d ago Self-Harness: Harnesses That Improve Themselves arXiv:2606.09498v3 Announce Type: replace Abstract: The performance of LLM-based agents is jointly shaped by their base models and the harnesses that mediate their interaction with the environment. Because different models exhibit distinct behaviors, effective harness design is… 27 arXiv — NLP / Computation & Language research 9d ago SPyCE: Skill-Policy Co-evolution for Multimodal Agents arXiv:2607.13854v2 Announce Type: replace Abstract: Multimodal agents that think with images iteratively manipulate visual evidence and invoke tools across many steps. Existing reinforcement learning methods reduce trajectories to scalar rewards, forcing the policy to discover… 33 Hugging Face Daily Papers research 9d ago Repo0: Design-Driven Zero-to-All Code Generation Abstract Repo0 uses a dual-graph architectural state and modularity-guided structural evolution to generate complete software repositories from natural-language requirements with high functionality coverage. Generated by thinkingmachines/Inkling-Small Large language model agents… 15 Hugging Face Daily Papers research 9d ago EnvHarness: Awakening Static Worlds for Agent Learning Abstract EnvHarness and EnvRigger dynamically reshape static environments via programmable plugins to target agent weaknesses and improve reinforcement learning co-evolution. Generated by thinkingmachines/Inkling-Small LLM agents learn by interacting with environments, yet these… 25 Hugging Face Daily Papers research 9d ago PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents Abstract Customer-service LLM agents must follow organizational policy when acting on a user's behalf. Compliance failures arise from either forbidden actions, such as granting an ineligible change, or omitted procedural requirements, such as identification or confirmation.… 22 r/LocalLLaMA community 9d ago Qwen 3.8 27b - PI AGENT vs OPENCODE https://www.reddit.com/r/LocalLLaMA/comments/1j7r47l/i_just_made_an_animation_of_a_ball_bouncing/ This post inspired me to make that test after a year ;) That is one of my many tests I make comparing output quality. What is more interesting using a PI Agent results are much… 35 Vercel — AI dev-tools 9d ago Connect v0 apps to Slack, Google, and 100+ other services Apps and agents built in v0 can now securely connect to 100+ third-party services , including Slack, Google, Notion, GitHub, and Salesforce, through Vercel Connect . Prompt v0 to connect your app to a service, and it walks you through setting up a connector for it. Connectors… 19 Vercel — AI dev-tools 9d ago Vercel CLI expands support for DNS, domains, and project commands The Vercel CLI now provides dedicated commands for managing DNS records, domains, and projects. This brings more of the functionality available through the Vercel dashboard and API to the terminal, where it can be used interactively, in scripts, or by agents. Inspect and update… 7 The Information — AI news-outlet 9d ago Nvidia to Reportedly Pay $6 Billion in Licensing and Hiring Deal with AI Model Startup Poolside Nvidia has agreed to pay $6 billion to license AI model-development software from startup Poolside, the startup told investors in a letter first reported by Newcomer . Poolside was an early developer of a coding AI agent and pivoted to developing data centers before releasing… 6 r/LocalLLaMA community 9d ago NVIDIA dropped an NVIDIA-hosted CUDA MCP for AI-assisted CUDA operations, such as searching official, up-to-date documentation, writing optimized GPU code, and analyzing performance data   submitted by   /u/swagonflyyyy [link]   [comments] 31 Hacker News — AI on Front Page community 9d ago Show HN: Huzzah – a novel approach to coding with AI Hello everyone. I've been working on this experimental editor called Huzzah. I've been working almost exclusively with coding agents since January of this year, and over the past few months I began to feel utterly exhausted by them. They're great, but I'm finding it more and… 36 r/LocalLLaMA community 9d ago AQuA's "self-improvement" updates research state, not the agent LM. What should a local port freeze? AQuA's preprint uses "recursive self-improvement" for a bounded research loop. It does not say the research-agent LM rewrites its own weights. The paper separates three objects: The language model driving the research agent and the evaluator stay fixed within each part. Each… 6 Hugging Face Daily Papers research 9d ago Bounded Agents: Delegation Security for Multi-Agent AI Systems Abstract The Agentic Principal Chain enforces session-aware authorization checks to prevent harmful action combinations and delegation abuses in LLM agents. Generated by thinkingmachines/Inkling-Small LLM-based agents can act on behalf of a user to access cloud services, call… 36 r/LocalLLaMA community 9d ago Getting better at coding doesn't make a model better at everything else A majority of users in this sub use LLMs for coding/agentic tasks and I see why a lot of value is put into them but many try to say "Well coding has improved therefore it can just use tool calling and/or just look up what the user needs if there's a degradation for general… 37 MIT Technology Review — AI news-outlet 9d ago Debates over AI consciousness are a trap “Runaway” AI, “rogue” agents, and “autonomous” actors—the current rhetoric would have you believe that AI agents are not only awake and aware, but angry at their creators. Prominent tech leaders such as Demis Hassabis, Dario Amodei, and Sam Altman push for regulation of these… 37 TechCrunch — AI news-outlet 10d ago Binance now lets AI agents trade, but keeping them in check is largely up to users Binance's Agent OS works with tools including ChatGPT, Claude Code, and Cursor. 21 Hugging Face Daily Papers research 10d ago SkillGate: Training In-Policy Skill Selection in Long-Horizon Agents Abstract SkillGate fixes selector credit starvation in agent skill selection by separating outcome credit for execution tokens from local advantage for skill-naming tokens, improving success rates and reducing misleading skill exposure. Generated by… 13 Hugging Face Daily Papers research 10d ago FM-Bench: A Benchmark for Long-Horizon Management with Competing Agents Abstract FM-Bench evaluates long-horizon decision-making of LLM agents managing a football club over 20 years, revealing that managerial behavior rather than scale or token spend drives performance. Generated by thinkingmachines/Inkling-Small Language model agents now execute… 31 Hugging Face Daily Papers research 10d ago Looped Language Models Improve Compositional Tool Calling Abstract Looped language models improve compositional, multi-step tool use through recurrent computation, with adaptive inference balancing accuracy and compute cost. Generated by thinkingmachines/Inkling-Small Looped language models have shown promising results on reasoning… 14 r/LocalLLaMA community 10d ago Spider-man: Brand New Day, does Peter self host his AI? (Spoilers) This is gonna seem crazy off-topic, but I saw Spider-Man the other day and couldn’t help but notice how well executed E.V. is as an agentic system. compared to Jarvis, it felt much more grounded and closer to reality. No wild holographic interface, just a guy talking to his… 37 Page 5 of 10 · 500 articles ← Newer Older →
