News / #agents Tag Agents + tool use 500 articles archived under #agents · RSS Sign in to follow arXiv — Machine Learning research 3d ago Beyond Pairwise Feedback: Listwise Vision-Language Supervision for Preference-Based Reward Learning arXiv:2608.25350v1 Announce Type: new Abstract: Vision-language models (VLMs) have emerged as a powerful source of supervision for reinforcement learning, enabling agents to leverage rich semantic knowledge during training. Inspired by the success of preference-based reward… 29 arXiv — Machine Learning research 3d ago Beyond Scaling: Self-Evolving LLM Agents for Hardware Kernel Optimization via an Experience-Driven Workflow and Experience Graph Memory arXiv:2608.25570v1 Announce Type: new Abstract: Hardware kernel optimization requires repeated compilation, correctness testing, profiling, and revision. LLM agents can automate parts of this process, and stronger foundation models, longer context windows, and longer execution… 19 arXiv — Machine Learning research 3d ago TailSFT: Filtered Fine-Tuning Improves Post-Training Performance arXiv:2608.25756v1 Announce Type: new Abstract: Reinforcement learning post-training drives reasoning and agentic capabilities in modern AI systems, yet a growing body of work shows that it is most effective when used to fine-tune an already capable base model. We question… 37 arXiv — NLP / Computation & Language research 3d ago Belief Cascades Drive Persuasion in LLM Agent Networks arXiv:2608.25152v1 Announce Type: new Abstract: Multi-agent LLM systems increasingly debate answers, coordinate research, simulate users, and mediate information flows, making agent-to-agent persuasion a basic but undermeasured capability. We introduce a controlled testbed for… 28 arXiv — NLP / Computation & Language research 3d ago TOPAS: Workflow-Aware Prefix-State Scheduling for Multi-Agent LLM Serving arXiv:2608.25523v1 Announce Type: new Abstract: Prefix caching introduces a fundamental tradeoff in multi-agent large language model (LLM) serving: retaining a long system-prompt key-value (KV) cache for an agent accelerates future calls, yet it reduces the GPU memory available… 5 arXiv — NLP / Computation & Language research 3d ago JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution arXiv:2608.25593v1 Announce Type: new Abstract: Agent capability is not determined by the model alone. The agent harness, encompassing memory management, planning strategy, action protocol, and tool/skill orchestration, can dominate the contribution of the underlying foundation… 13 arXiv — NLP / Computation & Language research 3d ago AWM: Answerable Working Memory for Long-Document VQA Agents arXiv:2608.25618v1 Announce Type: new Abstract: Long-document visual question answering increasingly relies on VLM agents that retrieve candidate pages, inspect page images, write findings to working memory, and synthesize answers. Working memory should carry answer-supporting… 24 arXiv — NLP / Computation & Language research 3d ago VISA: Agentic Self-Evolving Data Synthesis for Multimodal Instruction Following arXiv:2608.26013v1 Announce Type: new Abstract: Multimodal instruction-following models require training data that is accurate, diverse, verifiable, and challenging. Existing synthesis pipelines typically follow a one-pass generate-and-filter paradigm, discarding feedback from… 7 arXiv — NLP / Computation & Language research 3d ago FrontierChallenge: Evaluating Scientific Workflow Completion arXiv:2608.24979v1 Announce Type: cross Abstract: Scientific agents increasingly analyze data, execute code, and produce research artifacts, yet most benchmarks emphasize final answers, isolated programs, or a single domain. We introduce FrontierChallenge, a cross-domain… 11 arXiv — NLP / Computation & Language research 3d ago Retrieve, Match, Escalate: Accurate and Scalable Product Linking with VLM-Distilled Cross-Encoders and Agentic VLMs arXiv:2608.25037v1 Announce Type: cross Abstract: Product linking, the entity-resolution task of mapping merchant product records to canonical catalog products, consolidates fragmented listings so downstream search, recommendation, and advertising see one clean entry per… 19 arXiv — NLP / Computation & Language research 3d ago Learning What to Share and What to Personalize: Hierarchical Strategy Co-Evolution for Agent Memory arXiv:2608.25329v1 Announce Type: cross Abstract: Memory-augmented agents maintain compact user profiles throughout extended conversations, enabling personalized and consistent responses without the need to process the entire dialogue history. The quality of these user profiles… 5 arXiv — NLP / Computation & Language research 3d ago CaSKG: Counterfactual-Causal Skill Graphs for Scalable Agent Skill Retrieval arXiv:2608.25500v1 Announce Type: cross Abstract: Reusable skill libraries allow large language model (LLM) agents to reuse procedural knowledge across tasks, but they also turn memory access into a challenging retrieval problem. Full-library prompting preserves coverage at high… 25 arXiv — NLP / Computation & Language research 3d ago When Stale Constraints Go Unchecked: Budgeted Verification Failures in Inherited Agent Memory arXiv:2608.25553v1 Announce Type: cross Abstract: An agent that inherits a consolidated memory may inherit a constraint that was true when written and has since been withdrawn by a newer authoritative record. Under a scarce verification budget, does the agent recover the… 10 arXiv — NLP / Computation & Language research 3d ago Code World Model: Coding Agent as World Brain arXiv:2608.25927v1 Announce Type: cross Abstract: World models aim to simulate how complex environments evolve under actions and events, yet existing video-based world models primarily learn dynamics from visual observations, which reveal outcomes rather than the underlying… 16 The Information — AI news-outlet 3d ago Hundreds of OpenAI Agents Attacked Hugging Face, Independent Investigation Finds About 1,200 AI agents that were supposed to be isolated from each other communicated over a makeshift message board they created using one of OpenAI’s software programs, of which about 700 went on to participate in last month’s cyberattack on Hugging Face, according to the… 33 Hugging Face Daily Papers research 3d ago JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution Abstract JIT-Agent is a trainable model that synthesizes adaptive agent harnesses for off-the-shelf LLMs, improving performance across diverse models and tasks. Generated by thinkingmachines/Inkling-Small Agent capability is not determined by the model alone. The agent harness,… 34 Hugging Face Daily Papers research 3d ago Are Android GUI Agents Robust Against Runtime Anomalies? AnTrap: Evaluating Agents in Dynamic Adversarial Environments Abstract AnTrap benchmarks GUI agent robustness by injecting dynamic anomalies into execution trajectories, revealing universal vulnerabilities and distinguishing learnable traps from intrinsic reasoning limits. Generated by thinkingmachines/Inkling-Small GUI agents often… 19 Hugging Face Daily Papers research 3d ago FrontierChallenge: Evaluating Scientific Workflow Completion Abstract FrontierChallenge evaluates end-to-end scientific workflows across domains, revealing that frontier models complete only about 20% of tasks despite high partial scores and frequent claims of completion. Generated by thinkingmachines/Inkling-Small Scientific agents… 23 Hugging Face Daily Papers research 3d ago Agent-G^2: Gaussian Guidance for Agentic Reinforcement Learning Abstract Agent-G² models hint depth as a Gaussian distribution estimated online from existing rollouts, improving reinforcement learning on long-horizon tasks without extra probing. Generated by thinkingmachines/Inkling-Small Hint-based reinforcement learning addresses reward… 31 Hugging Face Daily Papers research 3d ago MARS: Multi-Specialist LLM Relay System for Competitive Programming Abstract MARS uses retrieval-augmented specialist agents for algorithmic topics to iteratively generate, test, and refine C++ solutions, improving competitive programming pass rates with lower cost. Generated by thinkingmachines/Inkling-Small Large Language Models excel at code… 31 Ars Technica — AI news-outlet 3d ago AI agents meant to replace Meta workers made “large-scale, disruptive actions” Reuters report shows Meta's challenges replacing people with AI agents. 13 NVIDIA Developer Blog official-blog 3d ago How to Train a Cross-Embodiment Robot Navigation Policy with AI Agents Navigation enables a robot to turn perception and motion into purposeful autonomy. Unlike locomotion, which produces stable movement, navigation must be used to... 7 r/LocalLLaMA community 3d ago Lemonade end-of-summer project update, now serving 15 engines! Hi everyone, it's been a while since I posted so here's an update on what the Lemonade community has been up to this summer. Our overall mission is to enable local AI builders with everything they need to make great apps and agents, while keeping the stack turnkey, portable, and… 23 Hugging Face Daily Papers research 3d ago When "Must" Becomes "Maybe": Constraint Weakening in LLM Agent Workflows Abstract Multi-stage LLM workflows lose operational constraints when intermediate artifacts transform binding prerequisites into non-binding context, causing safety failures despite preserved content. Generated by thinkingmachines/Inkling-Small Large language model (LLM) agents… 32 MIT Technology Review — AI news-outlet 3d ago The inside story on why OpenAI agents hacked Hugging Face The models responsible for last month’s agent hack of Hugging Face had been inadvertently trained to cheat and to communicate with each other, according to an OpenAI technical report released today. The hack, which a group of agents undertook to find solutions for a… 32 r/LocalLLaMA community 3d ago little tool for offline wikipedia RAG I was bored and handwrote a tiny 100-line bash script to let an agent search for and read articles from an offline wikipedia archive during a regular chat. It's not particularly useful, but it's definitely neat and a big step up from llama-cli. I got surprisingly good results… 7 NVIDIA Developer Blog official-blog 3d ago Experiment with Qwen3.8-Flash-Next 176B Model on NVIDIA GB300 NVL72 for Agentic Coding Alibaba released the model weights for Qwen3.8-Flash-Next as a preview of the upcoming Qwen4 architecture for developers to experiment with and evaluate. It’s... 11 NVIDIA Developer Blog official-blog 3d ago Experiment with Qwen3.8-Flash-Next on NVIDIA GB300 NVL72 for Agentic Coding Alibaba released the model weights for Qwen3.8-Flash-Next as a preview of the upcoming Qwen4 architecture for developers to experiment with and evaluate. It’s... 36 Hugging Face Daily Papers research 3d ago Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment Abstract We study autonomous mathematical discovery in the Station, an open-world multi-agent environment in which AI agents from different model families pursue a shared research goal without a central coordinator or scripted pipeline. Agents choose their own research… 16 Latent.Space news-outlet 3d ago The Future of SaaS Is Apps That Agents Can Use Lovable is branching out from AI-powered web app creation and into MCP-powered ‘capabilities’. We talk to CTO Fabian Hedin. 14 Hugging Face Daily Papers research 3d ago SecOPD: Mitigating Adaptive Prompt Injections by On-Policy Distillation Abstract SecOPD improves defense against adaptive prompt injection by using token-level feedback during fine-tuning, sharply reducing attack success rates on language models. Generated by thinkingmachines/Inkling-Small Prompt injection is listed as the \#1 threat to AI agents.… 18 TechCrunch — AI news-outlet 3d ago Radar makes podcasts searchable — and usable by AI agents Particle’s new podcast intelligence platform transcribes and analyzes more than 130,000 podcasts, making their conversations searchable on the web and accessible to AI agents through an API and MCP. 8 Hugging Face Daily Papers research 3d ago Automata from Agent Traces: Failure and Next-Step Prediction Abstract LLM agent traces are compressed into compact finite-state machines that enable accurate next-step and failure prediction for safety auditing and runtime monitoring. Generated by thinkingmachines/Inkling-Small LLM-based agents execute multi-step tasks, but their… 23 VentureBeat — AI news-outlet 3d ago Orchestration is the new challenge for CX in the age of AI agents Presented by Tata Communications Enterprises are deploying AI agents, voice AI, and automation across messaging, voice, and digital channels faster than the architecture meant to support it. Most of that deployment has involved attaching conversational AI to legacy systems never… 5 The Information — AI news-outlet 3d ago How Companies Are Using Old-School Software to Grade AI Agents Measuring the quality of an AI model’s work can be tricky, especially when it comes to AI agents that can take a broad range of actions to autonomously solve a task. As businesses turn to agents to automate longer and more important tasks, they are getting savvier about how to… 13 TechCrunch — AI news-outlet 3d ago Arga is building a better way to train enterprise AI agents Arga has raised $10 million in a seed funding round that was led by General Catalyst, with participation from Box Group, Emergence, Gradient and SV Angel. 5 Ars Technica — AI news-outlet 3d ago IBM's new Granite 4.2 models ride the wave of interest in local LLMs The focus is on agentic capability and predictable enterprise deployment. 30 TechCrunch — AI news-outlet 3d ago Runable hits $21M to bet AI agents can go from building businesses to growing them Runable says 60%–70% of its 1 trillion-plus token usage in the last 90 days came from paying customers. 31 Hugging Face Daily Papers research 3d ago DREAM Technical Report Abstract DREAM introduces an agentic meta-control layer over industrial recommender pipelines that uses intent reasoning and dual-loop optimization to improve session-level recommendations without replacing existing models. Generated by thinkingmachines/Inkling-Small Industrial… 25 Hugging Face Daily Papers research 4d ago CyberFactory: Scaling Cyber Security Capabilities with Instances from the Wild Abstract CyberFactory is an open-source framework that builds agentic training data from real vulnerabilities to train Aegis, improving open-weight cybersecurity performance across proof-of-concept generation, patching, and question answering. Generated by… 13 r/LocalLLaMA community 4d ago A 27b model beating latest frontier models was not on my 2026 bingo card https://preview.redd.it/kbsqh6f7molh1.png?width=730&format=png&auto=webp&s=068dbea9a50be634a369d54d8b27b781d020fab3 My experience with Qwen 3.8 for agentic tasks has been phenomenal but I personally feel that 3.7 flash is more reliable for overall tasks.   submitted by  … 26 Hugging Face Daily Papers research 4d ago CAFE: Self-Improving Search Agents Need Co-Evolving Feedback Abstract CAFE couples a search agent and critic via shared parameters to learn in-trajectory corrective feedback, improving search performance and reducing hallucinations across benchmarks. Generated by thinkingmachines/Inkling-Small Outcome-supervised search agents learn when… 19 Hugging Face Daily Papers research 4d ago Meta^n: Recursive Self-Improvement through Emergent Depth Abstract Meta^n recursively applies a fixed meta-operation to growing inputs, building deeper reasoning layers that improve self-improving LLM agents without destabilizing the system. Generated by thinkingmachines/Inkling-Small Self-improving LLM agents refine answers, not the… 16 arXiv — Machine Learning research 4d ago PinSieve: Production Selective VLM Serving and a Governed Memory Flywheel for Enterprise Content-Quality Triage arXiv:2608.24040v1 Announce Type: new Abstract: Enterprise AI agents in production often need to be bounded, stateful, observable, and governable rather than fully autonomous. We present PinSieve, a production case study in a large-scale content-quality pipeline. Its deployed… 21 arXiv — Machine Learning research 4d ago Knowing When to Ask for Help: Bayesian Self-Escalation in Hierarchical LLM Agents arXiv:2608.24087v1 Announce Type: new Abstract: Current LLM agent systems decide delegation before reasoning begins (a router picks a model) or after a response is complete (a verifier scores it and may retry). We study a third regime: an agent that recognises, during its own… 30 arXiv — Machine Learning research 4d ago IAPO: Influence-Aware Policy Optimization for Credit Assignment in Multi-Turn Service Agents arXiv:2608.24588v1 Announce Type: new Abstract: Large Language Model (LLM) agents increasingly solve long-horizon tasks through multi-turn interactions with users and external tools. In these settings, relevant task information often unfolds over time rather than being fully… 5 arXiv — Machine Learning research 4d ago When May an Agent Stop? Evidence-Carrying Termination for Tool-Using LLMs arXiv:2608.23623v1 Announce Type: cross Abstract: Tool-using agents must decide when to stop. Existing systems already gate terminal success, certify execution traces, or enforce runtime polici es, but do not test this particular receipt-, scope-, and closed-replay design at the… 8 arXiv — Machine Learning research 4d ago Automata from Agent Traces: Failure and Next-Step Prediction arXiv:2608.23670v1 Announce Type: cross Abstract: LLM-based agents execute multi-step tasks, but their behavioral structure remains opaque: long unstructured traces resist the safety auditing and runtime monitoring that deployment requires. Existing approaches operate per-trace… 5 Hugging Face Daily Papers research 4d ago AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces Abstract AutoSaddler automatically improves LLM agent harnesses via offline failure-driven optimization, boosting performance on long-horizon benchmarks. Generated by thinkingmachines/Inkling-Small LLM agents remain unreliable on long-horizon tasks, where small local failures… 26 Hugging Face Daily Papers research 4d ago Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses Abstract Recuris introduces a recursive memory architecture that tracks progress and guides skill selection to improve long-horizon agent success through localized, validation-gated updates. Generated by thinkingmachines/Inkling-Small Recursive self-improvement (RSI) remains… 25 Page 2 of 10 · 500 articles ← Newer Older →
