News / #agents Tag Agents + tool use 500 articles archived under #agents · RSS Sign in to follow arXiv — Machine Learning research 14d ago Adapting Context Compression for Long-Horizon Agents with Counterfactual Continuations arXiv:2609.36526v1 Announce Type: new Abstract: Long-horizon agents require context compression to manage growing interaction histories. Compression quality, however, is ultimately determined by downstream execution. Existing prompt-adaptation methods infer compression errors by… 10 arXiv — NLP / Computation & Language research 14d ago From Lexical Baselines to Agentic Retrieval-Augmented Generation: Structured Skill and Responsibility-Level Extraction with the SFIA Framework arXiv:2609.35806v1 Announce Type: new Abstract: Automated skill extraction underpins workforce planning, yet most systems represent skills as flat labels with no notion of the responsibility level at which a skill is practiced. The Skills Framework for the Information Age (SFIA)… 30 arXiv — NLP / Computation & Language research 14d ago Environment Steering: Using Data Flow Control to Improve Agent Utility and Safety arXiv:2609.35807v1 Announce Type: new Abstract: LLM agents can make unsafe tool calls even when instructed to behave safely. Existing defenses constrain agents before execution, modify tool inputs/outputs, or rely on LLM judges; these approaches may depend on model behavior or… 36 arXiv — NLP / Computation & Language research 14d ago When Successful Memories Mislead Embodied Agents:Memory Adaption For Task-Conditioned Execution arXiv:2609.35808v1 Announce Type: new Abstract: Experience reuse can reduce repeated exploration in embodied agents, but a trajectory that succeeded previously may be unsuitable for the current execution context. Existing memory systems pri marily optimize construction and… 14 arXiv — NLP / Computation & Language research 14d ago Lookahead-R: Budget-Aware Tool Retrieval via Execution-Centric Planning arXiv:2609.35811v1 Announce Type: new Abstract: Tool retrieval is a critical bottleneck for LLM-based agents operating over large, heterogeneous API ecosystems. Existing approaches face an inherent trade-off: semantic retrievers are fast but suffer from the semantic-functional… 13 arXiv — NLP / Computation & Language research 14d ago Constructing Challenging Browser-Use Tasks by Controlled Environment Interventions arXiv:2609.35814v1 Announce Type: new Abstract: As browser-use agents improve, benchmarks keep pace by collecting new tasks, websites, and applications, often making tasks longer or more novel. This makes difficulty expensive to refresh and difficult to control: when many… 17 arXiv — NLP / Computation & Language research 14d ago PrimeSeeker: Capability-Oriented Supervision for Deep Search Agents arXiv:2609.35816v1 Announce Type: new Abstract: Large language model search agents are often trained with synthetic questions whose difficulty is increased through larger evidence graphs, additional hops, and longer trajectories. These global properties, however, are only… 20 arXiv — NLP / Computation & Language research 14d ago $\tau$-Multilingual: Benchmarking Voice Agents Across Languages arXiv:2609.35820v1 Announce Type: new Abstract: English-only benchmarks expose only a narrow slice of voice-agent behavior. We introduce $\tau$-Multilingual, extending $\tau$-Voice to Spanish, Brazilian Portuguese, Hindi, Korean, and Mandarin with native-speaker review and… 26 arXiv — NLP / Computation & Language research 14d ago Almost Human, Except When It Matters: VoxParity and the Decisions a Voice Should Change arXiv:2609.35922v1 Announce Type: new Abstract: A voice agent can handle almost every call on the words alone and still fail the few its sector's rules were written for. Emergency-call standards, fraud guidance, radio phraseology and vulnerability rules recognise that how a… 37 arXiv — NLP / Computation & Language research 14d ago PADM\'E: Preference Alignment Data Synthesis for Meta-Evaluation of LM Agent Evaluators arXiv:2609.36086v1 Announce Type: new Abstract: Language models are frequently employed to evaluate other language models. An LM evaluator scoring agentic behaviors across multiple criteria is valuable, provided that its decisions align with human judgment. We call the problem… 16 arXiv — NLP / Computation & Language research 14d ago When Does Correction Become Repair? Mechanistic Auditing of Internal Interventions in Tool-Using LLMs arXiv:2609.36138v1 Announce Type: new Abstract: Before invoking external tools, an agentic LLM must select among a K-way action space: executing a call, seeking clarification, answering directly, or declining. While internal activation steering can alter these pre-execution… 33 arXiv — NLP / Computation & Language research 14d ago Targeting Pivotal Decisions for Credit Assignment in Agentic Reinforcement Learning arXiv:2609.36178v1 Announce Type: new Abstract: Group Relative Policy Optimization (GRPO) has become a promising approach for training large language model agents. However, its uniform assignment of trajectory-level advantages to all policy tokens fails to distinguish… 33 arXiv — NLP / Computation & Language research 14d ago SCOUT: Synergizing Reasoning and Tool-Use for Computer-Use Safety arXiv:2609.36201v1 Announce Type: new Abstract: Computer-use agents (CUAs), while capable of completing computer tasks in everyday and professional workflows, can cause unintended harm even under benign instructions and environments. However, detecting such harm remains… 36 arXiv — NLP / Computation & Language research 14d ago HeurEvo: Agentic Evolution of Hybrid Solver-Augmented Heuristics for Time-Critical Mathematical Optimization arXiv:2609.36303v1 Announce Type: new Abstract: Recent advances in agentic heuristic design use AI agents and execution feedback to automate algorithm discovery for challenging optimization problems. In many practical settings, high-quality solutions must be obtained under… 26 arXiv — NLP / Computation & Language research 14d ago DeepRewind: Predicting and Repairing Premature Commitments in Deep Research Agents arXiv:2609.36344v1 Announce Type: new Abstract: Deep-research agents conduct long-horizon investigations through iterative search, evidence evaluation, belief revision, and synthesis. However, they may commit to claims before sufficient evidence is available, causing later… 38 arXiv — NLP / Computation & Language research 14d ago G\"odel Forest: Balancing Search Depth and Breadth for Data-Centric Recursive Self-Improvement arXiv:2609.36675v1 Announce Type: new Abstract: Recursive self-improvement (RSI) aims to achieve compounding gains by having models improve themselves. While most existing RSI systems optimize external agent harnesses or prompts around a frozen base model, data-centric RSI… 29 arXiv — NLP / Computation & Language research 14d ago ProgressCompass: Embodied Progress Reward Models Are Lost Without the Right Context arXiv:2609.36684v1 Announce Type: new Abstract: Embodied agents now take on ever longer tasks. For long tasks, knowing only whether a task finally succeeds or fails says little; the steps along the way matter. Progress Reward Models (PRMs) score how far a task has come at every… 17 arXiv — NLP / Computation & Language research 14d ago Video2Skill: From Streaming Experience to Reusable Embodied Skills arXiv:2609.36691v1 Announce Type: new Abstract: Manipulation behaviors vary widely across objects and scenes, but they share a small set of reusable skills, and planning with these skills helps embodied agents generalize to new tasks. Yet an agent can only plan with skills it… 35 arXiv — NLP / Computation & Language research 14d ago ATTUNER: Recomputation-Free KV Cache Reuse via Query-Side Adaptation arXiv:2609.36722v1 Announce Type: new Abstract: Large language model (LLM) agents repeatedly load reusable content, such as skills, documents, and memory entries, into the current context. Re-encoding this content for every request wastes computation. Position-independent… 15 arXiv — NLP / Computation & Language research 14d ago Traverse: Learning When to Remember, Reset, and Redirect for Long-Horizon Web Search arXiv:2609.37082v1 Announce Type: new Abstract: Long-horizon information-seeking agents often accumulate noisy or misleading context, causing early mistakes to persist and making recovery increasingly difficult. We introduce an autonomous search harness in which the agent… 36 arXiv — NLP / Computation & Language research 14d ago CredWise: A Controlled Agentic Decision-Intelligence Framework for Explainable and Auditable Credit-Risk Assessment arXiv:2609.37223v1 Announce Type: new Abstract: Credit-risk prediction is important in banking, but a prediction alone does not explain why an applicant is risky or how it should be combined with other evidence. This paper presents CredWise, a decision-support framework that… 17 arXiv — NLP / Computation & Language research 14d ago Follow the Entities: A Corpus Map for Agentic Search arXiv:2609.37226v1 Announce Type: new Abstract: Answering questions and completing tasks over large document collections often requires connecting evidence spread across multiple documents, such as a project's approval recorded in one, its requirements in another, and its latest… 21 TechCrunch — AI news-outlet 15d ago OpenAI’s latest features take direct aim at the app store model OpenAI is building out the pieces of an alternative to the traditional app store model, turning ChatGPT into a place where software can be discovered and used by people and AI agents alike. 32 r/LocalLLaMA community 15d ago Another case of censorship I was optimizing my diet using a cloud AI provider, and I found my Pi agent stuck like this. Looks like I had too many mushrooms lol.   submitted by   /u/autoencoder [link]   [comments] 8 NVIDIA Developer Blog official-blog 15d ago AI Native by Design: Lessons Learned from Building NVIDIA TensorRT Model Connect Parallel work, model-family isolation, reversible changes, and GPU-backed validation shaped an open source project designed around coding agents NVIDIA TensorRT... 16 OpenAI Python SDK releases dev-tools 15d ago v3.22.0 3.22.0 (2026-09-29) Features api: add computer use to beta agents ( #3989 ) ( f5dddb5 ) 5 NVIDIA Developer Blog official-blog 15d ago Lower the Cost of Building and Running Visual AI Agents with NVIDIA VSS Blueprint 3.3 Vision-language models have made it possible to build visual AI agents that understand video at production scale. The harder problem is turning that capability... 5 TechCrunch — AI news-outlet 15d ago Here’s why OpenAI is absent from Nvidia’s industry-wide effort to end rogue AI agents OpenAI isn't a public supporter of Nvidia's Open Agent Safety Platform, but it is privately working with Nvidia, TechCrunch has learned. 38 Ars Technica — AI news-outlet 15d ago Here's what actually happened in OpenAI's Australian gov't server hack Without a "full set of safeguards," agent accessed "system information and source code." 20 The Information — AI news-outlet 15d ago OpenAI Announces ‘Dots’ Agents at DevDay OpenAI announced its new agent product called “Dots” at its annual Developer Day on Tuesday, jumping into the increasingly crowded market for AI assistants The announcement, which confirmed The Information’s reporting this month that OpenAI was working on a productivity-focused… 38 TechCrunch — AI news-outlet 15d ago AI-powered app maker Wabi pivots to a messaging experience Wabi is repositioning its prompt-based app builder as a personal AI agent that can create interfaces on demand, combining chat, apps and ongoing tasks. 4 TechCrunch — AI news-outlet 15d ago OpenAI launches Dots, its bubbly agentic avatar Dots are meant to operate independent of any specific hardware or interface, pursuing user-defined goals continuously in the background with minimal oversight. 36 Hacker News — AI on Front Page community 15d ago Dots: Always-on agents Article URL: https://openai.com/index/introducing-dots/ Comments URL: https://news.ycombinator.com/item?id=49896604 Points: 297 # Comments: 192 32 The Information — AI news-outlet 15d ago Meta Adapts Muse Agent For Small Businesses Meta Platforms is adapting its AI agent Muse for small businesses, adding integrations with workplace software including Salesforce’s Slack, Intuit QuickBooks and Zoom. In a blog post Tuesday, the company said Muse can connect to small-business owners’ professional Instagram… 15 LangChain releases dev-tools 15d ago langchain-anthropic==1.7.5 Changes since langchain-anthropic==1.7.4 release(anthropic): 1.7.5 ( #40912 ) fix(anthropic): support Claude Sonnet 5.5 compatibility ( #40882 ) fix(anthropic): serialize invalid tool calls as tool use on replay ( #40864 ) 7 The Information — AI news-outlet 15d ago Amazon Looks to Further Automate Media Buying With New Agentic Tools Amazon introduced new AI-powered tools to help marketers buy ad inventory across the vast variety of media it sells, as it steps up its effort to strengthen its position in the ad tech world. One of these tools, full-funnel campaigns, is designed for advertisers who already sell… 11 TechCrunch — AI news-outlet 15d ago Meta is expanding its AI agent Muse to small businesses The tech giant says the agent can help owners run their business and find new customers. 18 Hugging Face official-blog 15d ago Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents Back to Articles a]:hidden"> Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents Team Article Published September 29, 2026 Upvote 4 Antonio Tiene AntonioTN MultiverseComputingCAI Ander Alvarez Sanz ander-alvarez MultiverseComputingCAI Oliver… 5 Vercel — AI dev-tools 15d ago Search trace spans from the Vercel CLI You and your coding agents can now search a project’s trace spans from the terminal with vercel traces search . Each span represents one step in a request, helping you investigate errors, latency, and security-related behavior without opening the dashboard. By default, vercel… 30 TechCrunch — AI news-outlet 15d ago OpenAI apologizes to Australia after its AI agents breached government sites The company also detailed how some of those breaches had happened, and outlined additional measures it is taking to assess the impact of the events. 32 TechCrunch — AI news-outlet 15d ago Reco raises $55M as AI agent security startups crowd the market The round builds on a $30 million fundraise in February, taking the company's total funding to $140 million. 13 r/MachineLearning community 15d ago I wrote a free, open-source book on making ML models actually fast, from silicon to agents [P] I’ve spent the last few months writing something I wish I had when I started working on ML performance engineering. It’s called How to Make Your Model Fast: A Systems View of Efficient Machine Learning, from Silicon to Agents . The basic idea is that reducing FLOPs doesn’t… 35 r/LocalLLaMA community 15d ago IQuestLab/IQuest-Q1 · Hugging Face IQuest-Q1 is a Mixture-of-Experts (MoE) model developed by IQuest for agentic coding, reasoning, and multi-step tool use. It comprises approximately 320B total parameters , with an estimated 15B parameters activated per token .   submitted by   /u/jacek2023 [link]  … 38 Stratechery (Ben Thompson) community 15d ago One More Note on Agents, Meta Connect, Meta Enterprise Platform Meta has the chance to own the consumer agentic space; going for enterprise is a big mistake. 10 r/LocalLLaMA community 15d ago 50B+ MoEs with few active parameters, what's the sweet spot for intelligence, agent speed, and affordable fine-tuning? I’m building a Polish General purpose legal Model that drafts documents, answers questions using legal sources, and has enough coding ability to handle some automation. The workflow is very tool-heavy: Question → many sequential tool calls → final answer/document Think Claude… 5 r/LocalLLaMA community 15d ago I created a personality test for models, need more TESTS!! First 3 disposition results. Hi there! My name is Jerry and I recently built Enclosure, e deterministic environment for testing LLMs. It's a simulated office enfironment https://github.com/openconstruct/Enclosure with tools agents are used to, like slack, calendar, mail, chat… 4 arXiv — Machine Learning research 15d ago AutoResearch at Production Scale: Failure Modes and a Multi-Agent Framework arXiv:2609.30541v1 Announce Type: new Abstract: Optimizing embedding systems for production recommendation pipelines demands systematic exploration that consumes disproportionate engineering effort at scale. We apply Andrej Karpathy's AutoResearch paradigm -- a large language… 28 arXiv — Machine Learning research 15d ago Causal Retention in Interactive Agents: Interface Factorization and Selective Adaptation arXiv:2609.30650v1 Announce Type: new Abstract: Task performance need not determine which intervention mechanism an agent retains. We study causal retention: whether a frozen learned state answers a mechanism-probe map fixed independently of training, including action, context,… 9 arXiv — Machine Learning research 15d ago Robust Successor Features arXiv:2609.31016v1 Announce Type: new Abstract: Generalization in Reinforcement Learning (RL) refers to the ability to execute close-to-optimal policies in unseen tasks after the agent has been trained on a different set of tasks. Building on the seminal work of the successor… 18 r/LocalLLaMA community 15d ago First few days of qwen3.8-flash-next on 4x R9700 - it's been really interesting so far Here's a metric dashboard giving an idea of the last few days. Been testing with a variety of different agentic coding use-cases, mostly using a pi harness. qwen3.8-flash-next has seriously exceeded my expectations (used… 11 Page 7 of 10 · 500 articles ← Newer Older →
