News / #agents Tag Agents + tool use 500 articles archived under #agents · RSS Sign in to follow Hugging Face Daily Papers research 16d ago SKILLER: Language-Level Reinforcement Learning for Reusable Skill Extraction in Small Language Models Abstract SKILLER is a reinforcement learning framework that automatically generates tailored skills for small open-source models to reduce inference costs while maintaining high task performance. Generated by thinkingmachines/Inkling-Small Agent skills represent a standardized… 36 Smol AI News news-outlet 16d ago not much happened today **Z.ai launched GLM-5.3**, a coding- and cyber-focused model with significant gains on agentic and security benchmarks, achieved through scaled post-training rather than a larger base model. **Alibaba released Qwen3.8-27B**, a native multimodal dense model under Apache 2.0 with… 5 Hugging Face Daily Papers research 16d ago SkillEvo: Self-Renewing Evolution Gradients from Multi-Turn Interaction Feedback Abstract SkillEvo improves agent skills through multi-turn feedback and active governance to sustain evolution gradients. Generated by thinkingmachines/Inkling-Small Agent Skills are today either hand-authored or produced in a single LLM generation pass, and consequently possess… 36 arXiv — Machine Learning research 16d ago Scaling Automatic Research Agents via World Models arXiv:2608.12564v1 Announce Type: new Abstract: Automating empirical research is a long-standing direction of AI. Recent automatic research (AutoResearch) agents bring this goal within reach, as modern LLMs show the capability to independently implement solutions and learn from… 11 arXiv — Machine Learning research 16d ago CAKE: Compiler-Agent Co-Design for Frontier Kernel Evolution arXiv:2608.12629v1 Announce Type: new Abstract: GPU kernel agents and GPU programming languages have advanced separately, leaving expert kernels difficult to reproduce. Agents usually treat the compiler as a fixed black box and receive only errors, correctness outcomes, and… 11 arXiv — Machine Learning research 16d ago Beyond Outcome Rewards: Step-Level Self-Distilled Policy Optimization for Deep Search Agents arXiv:2608.12764v1 Announce Type: new Abstract: Deep search agents operate over trajectories spanning dozens of steps, yet standard reinforcement learning provides only a single outcome reward per trajectory, which is far too sparse for effective credit assignment. On-policy… 19 arXiv — Machine Learning research 16d ago Fast A/B/n Testing: Exact Multi-Policy Comparison via Tree-Coupled Feedback Sharing arXiv:2608.12831v1 Announce Type: new Abstract: Online platforms increasingly compare many adaptive decision policies---ranking systems, recommendation algorithms, pricing rules, and language-model agents---while each reward-bearing interaction can be costly or risky. A direct… 25 arXiv — NLP / Computation & Language research 16d ago Latent On-Policy Self-Distillation arXiv:2608.13040v1 Announce Type: cross Abstract: Enabling agents to learn from experience and internalize it into their policy has become a central problem in self-evolving AI. On-policy self-distillation (OPSD) offers an effective pathway by using a privileged self-teacher to… 21 arXiv — NLP / Computation & Language research 16d ago Intern-S2-Preview: Scientific Agentic Foundation Model arXiv:2608.13505v1 Announce Type: cross Abstract: Scientific discovery increasingly requires AI systems that can reason over scientific evidence of heterogeneous modalities, interact with scientific tools and environments, and sustain progress across long task horizons. We… 34 arXiv — Machine Learning research 16d ago Vero: Can AI Agents Build Formally Verified Software Repositories? arXiv:2608.13522v1 Announce Type: new Abstract: AI agents are increasingly used for programming, but do not provide any guarantee on the correctness of generated code. Verified code generation, in which an agent produces both an implementation and a machine-checked proof of its… 6 arXiv — Machine Learning research 16d ago Predictive Allostatic Organization in Recurrent and Spiking Agents Under Partial Observability arXiv:2608.11506v1 Announce Type: cross Abstract: Adaptive behavior under partial observability depends on internal organization that carries information beyond the current observation. Drawing on Barrett and Miller's account of categorization as predictive, compressive,… 10 arXiv — NLP / Computation & Language research 16d ago Why Do AI Agents Break Rules? How Framing, Context, and Social Signals Shape Compliance arXiv:2608.12323v1 Announce Type: new Abstract: Specifying a penalty can paradoxically convert a legal obligation into a cost-benefit calculation that favors violation. We demonstrate that this enforcement information paradox systematically occurs in AI agents. While most AI… 27 arXiv — NLP / Computation & Language research 16d ago SDAM: Structure-Difference-Aware Memory Evolution for Complex Text-to-SQL arXiv:2608.12338v1 Announce Type: new Abstract: Text-to-SQL aims to convert natural language questions into executable SQL queries. While memory-based agent system improves complex SQL generation, existing memory design neglect historical experience and suffer from weak… 6 arXiv — NLP / Computation & Language research 16d ago ERSkill: Evolving for Skill-Guided Adaptive Memory Retrieval arXiv:2608.12720v1 Announce Type: new Abstract: While Large Language Model (LLM) agents increasingly rely on long-term memory for persistent interactions, the retrieval mechanisms governing this memory are rarely treated as evolvable components. This static approach limits… 17 arXiv — NLP / Computation & Language research 16d ago FastThaiG2P: Lightning-fast Thai Grapheme-to-phoneme Conversion for Voice Agent Pipelines arXiv:2608.12814v1 Announce Type: new Abstract: FastThaiG2P provides sub-millisecond Thai grapheme-to-phoneme conversion for text-to-speech pipelines (International Phonetic Alphabet and Kokoro-TTS conventions) using a PyThaiNLP-tokenized, extensible dictionary and normalization… 31 arXiv — NLP / Computation & Language research 16d ago AQuA: Recursively Self-Improving Quantitative Trading Research Agents arXiv:2608.12841v1 Announce Type: new Abstract: We study recursive self-improvement at the level of quantitative-investment research: whether an autonomous system can use evidence from earlier experiments to improve the hypotheses and candidates proposed in later iterations. We… 33 arXiv — NLP / Computation & Language research 16d ago When Your Agent Opens the Chat App: Agent-Controlled Search over Raw Chat Logs Rivals Structured Memory arXiv:2608.12888v1 Announce Type: new Abstract: Agent-memory systems increasingly buy retrieval quality with structure, transforming raw conversation histories into summaries, embeddings, trees, or knowledge graphs before any question is asked. We ask how much of that benefit… 32 arXiv — NLP / Computation & Language research 16d ago LycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level Consolidation arXiv:2608.12990v1 Announce Type: new Abstract: Long-horizon LLM agents must preserve information from past interactions to support future tasks. Existing memory systems typically rely on eager consolidation, invoking LLMs after each interaction to extract, summarize, or update… 20 arXiv — NLP / Computation & Language research 16d ago RippleMem: From Isolated Retrieval to Associative Recollection for Long-Term Agent Memory arXiv:2608.13334v1 Announce Type: new Abstract: LLM-based agents increasingly rely on external memory to support long-horizon reasoning and interaction. However, the main bottleneck is not simply storing past experience, but recovering the right set of evidence when relevant… 38 arXiv — NLP / Computation & Language research 16d ago SteerBench-Work: A Benchmark for Agent Steering at Action Boundaries arXiv:2608.12654v1 Announce Type: cross Abstract: Long-running LLM agents act through tools, and a single step can send an email, merge a pull request, or wire a payment. The steering decision is the pre-commit choice at that boundary: proceed, or hold for human or policy… 38 arXiv — NLP / Computation & Language research 16d ago Beyond Retrieval: Query-Conditioned Reuse of Long-Horizon Agent Trajectories arXiv:2608.12847v1 Announce Type: cross Abstract: Retrieval can identify a past trajectory that may matter, yet it does not specify how an acting agent should use that trajectory after users, entities, constraints, or environment state have changed. We identify this… 8 arXiv — NLP / Computation & Language research 16d ago MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination arXiv:2608.13476v1 Announce Type: cross Abstract: We present Multi-Agent Reasoning and Coordination (MARC), an open-source framework that replaces monolithic LLM prompting with deterministic multi-agent orchestration for clinical reasoning. MARC coordinates role-specialized… 17 Hugging Face Daily Papers research 16d ago DarwinX: Evolving Agent Harnesses Through Natural Selection Abstract DarwinX evolves agent harnesses via population selection with frozen models, improving verified performance across benchmarks without benchmark-specific patches. Generated by thinkingmachines/Inkling-Small An LLM agent's capability depends not only on model weights but… 30 Hugging Face Daily Papers research 16d ago AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic Design Abstract AutoDesign uses a meta-harness optimizer to recursively improve a code agent for structured media generation, achieving state-of-the-art results on paper-to-poster synthesis. Generated by thinkingmachines/Inkling-Small Transforming multimodal sources into condensed and… 11 Hugging Face Daily Papers research 16d ago LycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level Consolidation Abstract LycheeMemory V2 improves long-term agent memory by batching interactions into semantic segments for efficient consolidation and structured retrieval, reducing construction costs while maintaining high accuracy. Generated by thinkingmachines/Inkling-Small Long-horizon… 17 Hugging Face Daily Papers research 16d ago PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives Abstract PlayWorld benchmarks interactive video world models by using multi-modal agents to pursue long-horizon objectives, evaluating geometry consistency, interaction fidelity, and state evolution. Generated by thinkingmachines/Inkling-Small Video world models simulate future… 23 TechCrunch — AI news-outlet 17d ago Anthropic set AI agents loose on the same task. They started a turf war. Anthropic researchers found AI agents can clash, collude and coordinate in unexpected ways, raising new questions about whether today’s safety tests capture the risks of multi-agent systems. 38 Hugging Face official-blog 17d ago Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets Back to Articles a]:hidden"> Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets Enterprise Article Published August 13, 2026 Upvote 4 Sundar Raghavan rsundaraws amazon Steven Palma imstevenpmwork amazon Cagatay Cali cagataydev… 34 Google DeepMind official-blog 17d ago Introducing Gemini 3.7 Flash Introducing Gemini 3.7 Flash Aug 13, 2026 | x.com Facebook LinkedIn Mail Our most intelligent workhorse model yet for coding and agents. Tulsee Doshi Senior Director, Product Management, on behalf of the Gemini team Share x.com Facebook LinkedIn Mail Listen to article… 24 r/LocalLLaMA community 17d ago Deepseek Harness is Up! DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI. It uses an architecture where everything is a plugin, and is powered by Cordis, whose design is described in A Programming Paradigm for Spatiotemporal Composability. DeepSeek Harness is currently in… 13 r/LocalLLaMA community 17d ago GitHub - deepseek-ai/deepseek-harness 🧩 DeepSeek Harness v0.1 is now available in Developer Preview! 🔹 We’re opening it up to developers building agent harnesses worldwide and open-sourcing the codebase in MIT license. 🔹 Powered by the Cordis meta-framework, DeepSeek Harness is an agent harness built around one… 32 Hugging Face Daily Papers research 17d ago AutoWorldModel-Bench: A State-Centric Benchmark for Automated World-Model Research Abstract The benchmark evaluates autonomous coding agents on open-ended world-model research by having them iteratively improve a starter model across game environments using a shared structured-state format. Generated by thinkingmachines/Inkling-Small World modeling is an… 20 Hugging Face Daily Papers research 17d ago AVA-Encoder: Towards Agent-Native Video Representation Learning Abstract AVA-Encoder learns structured video representations via agentic auto-encoding using knowledge graphs to enable cinematic video generation and reasoning with reduced token usage. Generated by thinkingmachines/Inkling-Small Creative agents still lack an effective way to… 30 OpenAI official-blog 17d ago The builder’s guide to GPT‑5.6 Learn how startups use GPT-5.6 to build faster, more cost-efficient AI agents with smarter model selection and new Responses API capabilities. 22 Hugging Face Daily Papers research 17d ago Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence Abstract Mechanist is an autonomous agentic system that uses AI to discover and control the mechanisms underlying model intelligence, generating hypotheses, performing causal interventions, and improving safety and performance. Generated by thinkingmachines/Inkling-Small AI… 34 Hugging Face Daily Papers research 17d ago Self-Evolving Embodied Agents via Skill-Harness Evolution Abstract SHAPER is a train-free framework that improves embodied agents by evolving reusable skills and a context-code harness around a frozen foundation model through environment rollouts. Generated by thinkingmachines/Inkling-Small Embodied agents are increasingly built as… 26 Hugging Face Daily Papers research 17d ago Poor Man's Agentic Modeling: Simulating Large LLM-Agent Societies on a Laptop Abstract Replacing individual LLM agents with low-parameter surrogates fitted from cheap queries enables scalable society simulations, with validity predicted by an interaction-order and memory taxonomy. Generated by thinkingmachines/Inkling-Small Simulating societies of many… 5 r/LocalLLaMA community 17d ago I asked DeepSeek-V4-Flash to work with Muse-Glimmer for Vision ability in PI agent and it produced this Same old prompt, just appended a TIP in the end: "Write a single HTML file with a full-page canvas and no libraries. Simulate a realistic side-view of a moving car as the main subject. Keep the car visible in the foreground while the background landscape scrolls continuously to… 33 Smol AI News news-outlet 17d ago not much happened today **Google** rapidly released **Gemini 3.7 Flash** just three weeks after 3.6 Flash, targeting coding, web development, knowledge work, and agentic workflows with a 50% introductory price cut and improved benchmark scores like **DeepSWE 65.3%** and **Code Arena Elo 1588**. The… 17 Hugging Face Daily Papers research 17d ago Persistent Recursive Worlds Enable Autonomous Software Evolution Abstract Genesis organizes long-horizon software development around a persistent project rather than persistent agents, enabling multi-day compiler construction and numerical module reimplementation with low cost and high performance. Generated by thinkingmachines/Inkling-Small… 22 Hugging Face Daily Papers research 17d ago OpenART: Scaling Agent Red Teaming via Open-Ended Environment Evolution Abstract OpenART introduces a scalable red-teaming arena with evolving stateful environments to evaluate long-horizon AI agent safety, using the EMHA attack policy to expose increasing failure rates as task complexity grows. Generated by thinkingmachines/Inkling-Small AI agents… 28 arXiv — Machine Learning research 17d ago Let it Cook: Learning to Wait in Sequential Decision Making arXiv:2608.11511v1 Announce Type: new Abstract: In sequential decision making, an agent typically observes its environment and acts at every timestep. However, such active participation may not always be necessary; tasks such as brewing coffee include periods that are served… 20 arXiv — Machine Learning research 17d ago Towards a Formal Definition of Agent Memory: Basis, Span, Optimality, and the Sequential Memory Problem arXiv:2608.11654v1 Announce Type: new Abstract: Despite the wide deployment of memory in large-model agents, there is no unified formal account of what a memory is or when it is optimal. This paper takes a first step toward this account. The central idea is that memory is a… 10 arXiv — Machine Learning research 17d ago DCM Bandits: Multiplayer Information Asymmetric Cascading Bandits for Multiple Clicks arXiv:2608.11873v1 Announce Type: new Abstract: In this work, we extend the Dependent Click Model (DCM) Bandits to a multiplayer information-asymmetric setting, where multiple agents interact with a shared ranked list and may observe multiple clicks per session, introducing new… 30 arXiv — Machine Learning research 17d ago LoongReflect: Boosting Long-Horizon Reflection in Search Agents via Global Perspective Distillation arXiv:2608.11967v1 Announce Type: new Abstract: Large language model agents increasingly rely on long-horizon reasoning to solve complex tasks involving planning, tool use, and memory. A critical capability in such settings is reflection: assessing trajectory progress,… 31 arXiv — NLP / Computation & Language research 17d ago Backtrader-Bench: Benchmarking LLM Agents on Algorithmic Trading with Self-Generated MCQs arXiv:2608.11232v1 Announce Type: new Abstract: Evaluating LLM coding agents in algorithmic trading is difficult because static benchmarks risk data contamination and numerical backtest outputs require ground truth from actual code execution. We present Backtrader-Bench, a… 18 arXiv — NLP / Computation & Language research 17d ago TRACE Bench: Task-driven Roleplay Agentic Checklist Evaluation arXiv:2608.11236v1 Announce Type: new Abstract: Roleplay evaluation should do more than assign a single score: it should reveal which role requirements were tested, which failed, and which dialogue evidence supports the judgment. We propose TRACE Bench, a task-driven agentic… 28 arXiv — NLP / Computation & Language research 17d ago Better, Faster, Stronger: Programmatic Skill Learning Best Reduces Agent Cost arXiv:2608.11338v1 Announce Type: new Abstract: Recently, the practice of augmenting LLM agent capability with skills has gained prevalence. We explore the cost effective adaptation of agents to novel domains by means of learning skills. Existing works focus on performance gain… 19 arXiv — NLP / Computation & Language research 17d ago Self-Evolving Embodied Agents via Skill-Harness Evolution arXiv:2608.11350v1 Announce Type: new Abstract: Embodied agents are increasingly built as systems around foundation models, where performance depends not only on model weights but also on the skills, context, action interfaces, and execution harness surrounding the model. While… 12 arXiv — NLP / Computation & Language research 17d ago Principal Trait Analysis: Towards Deriving "Skills" in Human-AI Collaboration arXiv:2608.11460v1 Announce Type: new Abstract: Large Language Model-powered agents are increasingly used in the workplace via human-artificial intelligence (AI) collaboration. In this new era of work, it is important to understand the kinds of prompting traits that contribute… 34 Page 9 of 10 · 500 articles ← Newer Older →
