News / #agents Tag Agents + tool use 500 articles archived under #agents · RSS Sign in to follow arXiv — NLP / Computation & Language research 11d ago Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation arXiv:2607.29250v1 Announce Type: new Abstract: Small language models (SLMs) are attractive for agentic deployment due to low latency, reduced cost, and on-device privacy, yet they struggle with tool-use tasks where training data is scarce and noisy. Unlike larger models, SLMs… 13 arXiv — NLP / Computation & Language research 11d ago Zero-Mem: Zero-Token Memory Operations for LLM Agents arXiv:2607.29377v1 Announce Type: new Abstract: LLM agents need memory to act consistently over long interactions, yet many systems use additional LLM calls to operate that memory. Generating intermediate records and mediating their retrieval adds recurring token and time costs,… 10 arXiv — NLP / Computation & Language research 11d ago Know It, Act on It: Investigating Memory Utilization in LLM Personalization arXiv:2607.29433v1 Announce Type: new Abstract: As large language model (LLM) agents evolve into personalized companions, memory has emerged as a core capability. However, LLMs face a knowledge utilization problem: they may fail to act on relevant user preferences even when they… 7 arXiv — NLP / Computation & Language research 11d ago TokTier: Exact Stateful Tokenization for Agentic LLM Serving arXiv:2607.29678v1 Announce Type: new Abstract: LLM serving systems cache prompt KV state, yet most front ends still re-tokenize the full request text on every call. The cost lands on coding agents, which resubmit a long transcript after each small tool result, and reuse is hard… 23 arXiv — NLP / Computation & Language research 11d ago Evidence-Ledger Adjudication for Claim-Evidence Traceability arXiv:2607.26512v1 Announce Type: cross Abstract: AI agents can draft claims faster than authors can check whether the cited or retrieved evidence supports them. We study evidence-ledger adjudication: a claim-evidence traceability workflow that pairs each claim with an evidence… 37 arXiv — NLP / Computation & Language research 11d ago Measuring Cognitive Engagement in Collaborative Discourse with an Extended ICAP Framework: Comparing Human Annotation, In-Context Learning, and Reflective LLM Agents arXiv:2607.28651v1 Announce Type: cross Abstract: Collaboration supports learning and problem-solving, but its effectiveness depends on cognitive engagement during discourse. This study applies an extended 7-point ICAP framework based on the Interactive, Constructive, Active,… 10 arXiv — NLP / Computation & Language research 11d ago SciToolAgent-Evo: An Ontology-Aware Self-Evolving Agent for Open-World Scientific Tool Acquisition arXiv:2607.28692v1 Announce Type: cross Abstract: Large language model (LLM) agents have been increasingly adopted in scientific research for organizing and invoking specialized computational tools. However, their reliance on predefined tool spaces with static semantics limits… 33 arXiv — NLP / Computation & Language research 11d ago TransMem: Transforming Hidden States into Memory for Large Language Models arXiv:2607.29032v1 Announce Type: cross Abstract: Large language model (LLM) agents increasingly operate over long interaction histories, where effective reasoning requires identifying and exploiting task-relevant evidence distributed across past observations and actions.… 29 arXiv — NLP / Computation & Language research 11d ago RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems arXiv:2607.29241v1 Announce Type: cross Abstract: Optimizing modern recommender models still depends heavily on engineers manually iterating over architectural, objective, and training-strategy changes. While LLM-based agents can automate this trial-and-error process, allowing… 32 arXiv — NLP / Computation & Language research 11d ago Can Large Language Models Derive New Knowledge? A Dynamic Benchmark for Biological Knowledge Discovery arXiv:2603.03322v2 Announce Type: replace Abstract: Recent advancements in Large Language Model (LLM) agents have demonstrated remarkable potential in automatic knowledge discovery. However, rigorously evaluating an AI's capacity for knowledge discovery remains a critical… 19 arXiv — NLP / Computation & Language research 11d ago DRIP-R: A Benchmark for Decision-Making and Reasoning Under Real-World Policy Ambiguity in the Retail Domain arXiv:2605.07699v2 Announce Type: replace Abstract: LLM-based agents are increasingly deployed for routine but consequential tasks in real-world domains, where their behavior is governed by inherently ambiguous domain policies that admit multiple valid interpretations. Despite… 14 arXiv — NLP / Computation & Language research 11d ago HarnessBank: Semantic Gene-Bank Search with Gated Verification for Agent-Harness Self-Evolution arXiv:2607.13683v2 Announce Type: replace Abstract: Large Language Models (LLMs) have enabled capable agents across diverse applications. Beyond the foundation model, the performance of an agent is governed by the surrounding agent harness, including prompts, tools, control… 32 r/LocalLLaMA community 12d ago [Release] WinterMix — Qwen3.5-122B-A10B in native MLX: an 82 GiB build that beats 94–95 GiB quants, plus a 68 GiB build for agent swarms TL;DR: I spent 9 days developing a new quantization method for MLX models and measured 18 variants against each other on a single M5 Max MacBook Pro (128 GB). The result is the best-measuring MLX quant of Qwen3.5-122B-A10B I'm aware of at any size — the 82 GiB build edges out… 8 r/LocalLLaMA community 12d ago Real-world reality check on Qwen for autonomous coding agents TLDR below 👇🏼 I’ve seen a lot of hype around Qwen 3.6 35B and 3.5 120B lately, especially regarding coding and tool-use capabilities. On this subreddit it is the defacto recommended model for everyone without a Datacenter at home. I’ve been running Qwen 3.5 120B… 9 Simon Willison community 12d ago datasette-apps 0.2a0 Release: datasette-apps 0.2a0 Changes that improve Datasette Apps when created and edited using Datasette Agent : New app_debug() tool allowing agent to open an app (invisibly) and test it using JavaScript. #33 New app_list() tool for listing apps the user has permission to… 30 r/LocalLLaMA community 12d ago I've had ling-3.0-flash and glm-5.2 both in my executor slot for a few weeks. They don't split the way the benchmarks predict Same harness, same task set, same agent scaffold, the only thing I swapped was the executor. Not a proper benchmark, no clean tok/s numbers, this is a workflow read not a leaderboard. glm-5.2 is the better model and it shows on anything that needs an actual decision. When the… 22 Hacker News — AI on Front Page community 13d ago Stateless MCP has recaptured my interest Article URL: https://simonwillison.net/2026/Jul/31/stateless-mcp/ Comments URL: https://news.ycombinator.com/item?id=49131438 Points: 203 # Comments: 102 15 Simon Willison community 13d ago deepseek-ai/DeepSeek-V4-Flash-0731 deepseek-ai/DeepSeek-V4-Flash-0731 The latest release in DeepSeek's V4 family, "with substantially enhanced agentic capabilities". It's 304 billion parameters - 167GB on Hugging Face - but it appears to punch well above its weight. Artificial Analysis rank it ahead of MiniMax M3… 13 Simon Willison community 13d ago Stateless MCP has recaptured my interest (and inspired mcp-explorer and datasette-mcp) Tuesday was Stateless MCP day - the rollout of MCP 2.0, or the 2026-07-28 Model Context Protocol specification to use the more formal but less memorable name. This is the most significant change to the MCP spec since it first launched, and has also served to reignite my personal… 10 Simon Willison community 13d ago llm-mcp-client 0.1a0 Release: llm-mcp-client 0.1a0 See this blog entry . Tags: llm , model-context-protocol 5 TechCrunch — AI news-outlet 13d ago OpenAI reportedly finds evidence that more of its agents ran amok OpenAI has reportedly found evidence of additional agent misbehavior as it looks into the incident that occurred with Hugging Face. 24 NVIDIA Developer Blog official-blog 13d ago Co-Designing AI Model Attention for Fast, Interactive Long-Context Inference As agentic and long-context workloads become common, the context lengths increase and attention consumes a larger share of inference time (Figure 1). Because... 20 r/LocalLLaMA community 13d ago We've gotten some great medium sized models lately (DSV4 Flash 0731, Inkling Small, Laguna S 2.1, Step 3.7 Flash) but does anybody else want to see some new 70-80b contenders? I can run the mediums, but sometimes I want a faster option that's smarter than Qwen 27B/35B. On my hardware I get like 500 to 800 tok/s prefill and 16 to 22 tok/s gen on ~120B class models, which is not the worst but it does get a bit annoying on agentic coding tasks. If we… 8 Simon Willison community 14d ago datasette-agent 0.4a0 Release: datasette-agent 0.4a0 New await context.browser_task() mechanism allowing agent tools to run code directly in the user's browser. #33 This is an exciting new capability: it makes it easy for Datasette Agent plugins to provide tools that execute custom JavaScript in the… 22 llama.cpp releases dev-tools 14d ago b10204 sycl : support dev2dev memcpy by DEV2DEV_MEMCPY_FORWARD ( #26234 ) Co-authored-by: Neo Zhang Jianyu [email protected] Website: https://llama.app macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64) iOS XCFramework… 9 Hugging Face Daily Papers research 14d ago Σ-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Abstract Memory is central to long-horizon LLM agents, yet existing memory systems primarily preserve interaction content rather than modeling which agents can be trusted and under what conditions. This limitation is particularly important in multi-agent systems, where a central… 18 Hugging Face Daily Papers research 14d ago Filesystem-Based Memory for LLM Agents: Organization, Evolution, and Sustainability 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 this medium: prior systems design… 37 Hugging Face Daily Papers research 14d ago Is Deep Research Reliable? Misleading Knowledge Induces False Conclusions Abstract Deep Research agents extend LLM-based assistants into long-horizon workflows involving planning, retrieval, evidence synthesis, and report generation, yet their reliability in open information environments remains underexplored. A key concern is whether apparently… 11 Vercel — AI dev-tools 14d ago DeepSeek V4 Flash now runs updated weights on AI Gateway DeepSeek V4 Flash now runs on updated weights by default on AI Gateway, with notably stronger agentic capabilities. On Terminal-Bench, it scores 82.7, up 25.8 points from 56.9 in the April preview. Requests to deepseek/deepseek-v4-flash pick up the new weights automatically,… 23 r/LocalLLaMA community 14d ago DeepSeek v4 Flash has a nice bump in Capability DeepSeek V4 Flash: Preview → 2026-07-31 Benchmark Preview 0731 Δ Terminal Bench* 56.9 82.7 +25.8 Toolathlon 51.8 70.3 +18.5 NL2Repo — 54.2 new Cybergym — 76.7 new DeepSWE — 54.4 new Agent Last Exam — 25.2 new Automation Bench — 25.1 new DSBench-FullStack — 68.7 new DSBench-Hard… 28 arXiv — Machine Learning research 14d ago Flat Score, Amplified Failures: How the Error Budget Masks Damage in Quantized LLM Agents arXiv:2607.27275v1 Announce Type: new Abstract: Post-training quantization to 4-bit weights is widely reported to be nearly lossless. We test this claim for multi-turn, tool-calling agents, where it now matters most. On $\tau^2$-bench, across two open-weight model families in… 23 arXiv — Machine Learning research 14d ago Benchmarking the Residual: What Long-Horizon Evaluations Add Beyond Matched Short-Task Performance arXiv:2607.27283v1 Announce Type: new Abstract: Long-horizon benchmarks often show that agents fail more as tasks become longer. This observation is useful for deployment, but it does not by itself explain why failure occurs. More stages create more opportunities for ordinary… 18 arXiv — Machine Learning research 14d ago TAPO: Transition-Aware Policy Optimization for LLM Agents arXiv:2607.27973v1 Announce Type: new Abstract: Recently, Reinforcement Learning (RL) has emerged as a crucial paradigm for the post-training of Large Language Model (LLM) agents. However, existing methods predominantly rely on sparse task rewards for policy optimization,… 36 arXiv — Machine Learning research 14d ago ClawTrack: Towards Trace-Level Evaluation and Improvement of Real-World Autonomous Agents arXiv:2607.28037v1 Announce Type: new Abstract: As LLM-based agents are deployed in complex, multi-step workflows, a critical evaluation gap has emerged: most existing benchmarks judge only final outcomes, unable to distinguish reliable reasoning from lucky success or attribute… 18 arXiv — Machine Learning research 14d ago LEDGERMIND: Provenance-Constrained Multimodal Agentic Reasoning with a Structured Evidence Ledger arXiv:2607.28374v1 Announce Type: new 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… 18 arXiv — NLP / Computation & Language research 14d ago LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented Generation arXiv:2607.27353v1 Announce Type: new Abstract: Agentic retrieval-augmented generation systems can produce answers that appear grounded while failing at the evidence, tool-contract, authorization, or session-state layer. We introduce LayerRAG-Bench, a controlled cross-layer… 36 arXiv — NLP / Computation & Language research 14d ago SkillSmith: Learning to Compose Parametric Skills and Textual Knowledge arXiv:2607.27497v1 Announce Type: new Abstract: Agentic systems driven by large language models (LLMs) regularly feature two key mechanisms to autonomously solve complex problems: synthesizing text-based knowledge and procedures from past experiences and building parametric… 9 arXiv — NLP / Computation & Language research 14d ago Beyond Similarity: Grounded Agentic Extraction and Expert-Adjudicated Evaluation of Intertextuality in Classical Chinese Histories arXiv:2607.27595v1 Announce Type: new Abstract: Computational approaches to intertextuality have advanced from string matching to neural retrieval, yet their outputs, similarity scores and parallel-passage lists, identify where texts reuse one another without characterizing how… 16 arXiv — NLP / Computation & Language research 14d ago Harness-G: A Graph-Structured Harness for Search Agents arXiv:2607.27652v1 Announce Type: new 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… 6 arXiv — NLP / Computation & Language research 14d ago ChronoMem: Version Control and Semantic Rollback for Large Language Model Agent Memory arXiv:2607.27773v1 Announce Type: new Abstract: LLM agents increasingly rely on long-term memory to support multi-session interaction and personalization. However, existing agent memory systems are designed around forward-only evolution, continuously accumulating, consolidating,… 18 arXiv — NLP / Computation & Language research 14d ago Beyond Borrowed Histories: Person-Aligned User Simulation for Interactive Role-Playing Evaluation arXiv:2607.27816v1 Announce Type: new 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… 17 arXiv — NLP / Computation & Language research 14d ago FinanceHarness: Autonomous Financial Deep Research Framework arXiv:2607.27853v1 Announce Type: new Abstract: Powered by advances in LLMs and autonomous agents, deep research has become one of the most widely adopted agentic products. However, most deep research systems write general-purpose reports, which are inadequate for financial deep… 30 arXiv — NLP / Computation & Language research 14d ago Can Agents Deceive? Evaluating Reasoning and Deception in ParliamentBench using a Social Deduction Game arXiv:2607.28146v1 Announce Type: new Abstract: As large language models (LLMs) are deployed as agents in high-stakes settings, such as medical and legal systems, understanding their deceptive capabilities is fundamental to safety. Controlled social deduction games provide a… 32 arXiv — NLP / Computation & Language research 14d ago RRM: Experience-Driven Reflective Retrieval Memory for Long-Horizon Multimodal Reasoning arXiv:2607.28156v1 Announce Type: new Abstract: Existing multimodal long-term memory agents use external memory to overcome the limited context available for long videos. However, most methods emphasize what to store rather than how stored memory should be retrieved. When… 18 arXiv — NLP / Computation & Language research 14d ago Fidelity Is Not Safety: Gently-Compressed LLMs Pass Every Data-Free Quality Guard Yet Invent Procedure Steps in Agentic Execution arXiv:2607.28196v1 Announce Type: new Abstract: Practitioners accept a compressed language model once it clears a stack of data-cheap quality guards: perplexity within a small factor of the original, downstream accuracy (for example MMLU) inside a confidence interval, and… 26 arXiv — NLP / Computation & Language research 14d ago EMBL AI Librarian: Life-Sciences Knowledge Layer for AI Agents arXiv:2607.28229v1 Announce Type: new Abstract: The web is increasingly accessed by AI agents rather than humans. Every agent needs knowledge, especially in the life-sciences, where agentic pipelines are growing fast. Access to the literature is a crucial part of that need, and… 11 arXiv — NLP / Computation & Language research 14d ago ORCA-bench: How Ready Are Language Model Agents for Oncall? arXiv:2607.28545v1 Announce Type: new Abstract: Large language models can write, patch, and search code, but oncall root cause analysis (RCA) demands something different: reasoning over noisy metrics, logs, traces, and source code, starting from ambiguous user-facing reports,… 18 arXiv — NLP / Computation & Language research 14d ago AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis arXiv:2607.28618v1 Announce Type: new 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… 6 arXiv — NLP / Computation & Language research 14d ago MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking arXiv:2607.17751v2 Announce Type: cross Abstract: We present MagicSelector, a joint optimization framework integrating Counterfactual task decomposition, Progressive reranking, and Dynamic Top-K, designed to address the fundamental challenges of tool retrieval in agents.… 15 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 Page 9 of 10 · 500 articles ← Newer Older →
