Latest AI/ML News

8160 articles · arXiv cs.AI

arXiv cs.AIOct 7, 2026

arXiv:2610.05167v1 Announce Type: new Abstract: Inspired by cognitive science, we present CREATIVEFLOW, an analogical generation framework that explic…

arXiv cs.AIOct 7, 2026

arXiv:2610.05166v2 Announce Type: new Abstract: A safe action is not necessarily a viable one. A frozen vision-language-action (VLA) policy can favor…

arXiv cs.AIOct 7, 2026

arXiv:2610.05162v1 Announce Type: new Abstract: Long-term memory enables LLM-based agents to retain and reuse information across tasks and sessions, s…

arXiv cs.AIOct 7, 2026

arXiv:2610.05161v1 Announce Type: new Abstract: Instruction following typically enforces discrete, response-level requirements, whereas an expert-auth…

arXiv cs.AIOct 7, 2026

arXiv:2610.05144v1 Announce Type: new Abstract: Recovering three-dimensional human geometry from electromagnetic measure?ments in a complex static env…

arXiv cs.AIOct 7, 2026

arXiv:2610.05140v1 Announce Type: new Abstract: As agents rapidly evolve, existing benchmarks can become saturated, limiting their ability to distingu…

arXiv cs.AIOct 7, 2026

arXiv:2610.05124v1 Announce Type: new Abstract: Persistent memory for Large Language Models (LLMs) has matured rapidly: systems such as MemGPT/Letta,…

arXiv cs.AIOct 7, 2026

arXiv:2610.05119v1 Announce Type: new Abstract: Deep search agents tackle complex knowledge tasks through iterative retrieval, multi-hop reasoning, an…

arXiv cs.AIOct 7, 2026

arXiv:2610.05106v1 Announce Type: new Abstract: Long-form reasoning makes inference expensive, and speculative decoding mitigates this cost by verifyi…

arXiv cs.AIOct 7, 2026

arXiv:2610.05060v1 Announce Type: new Abstract: SQL queries that large language models write from natural language questions can execute successfully…

arXiv cs.AIOct 7, 2026

arXiv:2610.05043v1 Announce Type: new Abstract: Self-supervised visual representation learning learns useful features without manual annotations durin…

arXiv cs.AIOct 7, 2026

arXiv:2610.05030v1 Announce Type: new Abstract: Continual skill evolution enables LLM agents to accumulate and refine reusable procedural knowledge fr…

arXiv cs.AIOct 7, 2026

arXiv:2610.05003v1 Announce Type: new Abstract: Generating corner-case scenarios with appropriate adversity in a simulation environment is critical fo…

arXiv cs.AIOct 7, 2026

arXiv:2610.04998v1 Announce Type: new Abstract: Emotional expression can influence the safety decisions of large language models (LLMs), offering a po…

arXiv cs.AIOct 7, 2026

arXiv:2610.04991v1 Announce Type: new Abstract: Large language model (LLM) agents solve complex tasks through multi-step interactions with external to…

arXiv cs.AIOct 7, 2026

arXiv:2610.04977v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as interactive agents and simulators, yet it remain…

arXiv cs.AIOct 7, 2026

arXiv:2610.04975v1 Announce Type: new Abstract: Long-horizon tool-using AI agents create subgoals, replan, delegate work, and compose sibling results.…

arXiv cs.AIOct 7, 2026

arXiv:2610.04966v1 Announce Type: new Abstract: Model merging offers a way to integrate the capabilities of specialized experts, but existing agent me…

arXiv cs.AIOct 7, 2026

arXiv:2610.04942v1 Announce Type: new Abstract: Time-series question answering (TSQA) requires grounding linguistic queries and diverse answer formats…

arXiv cs.AIOct 7, 2026

arXiv:2610.04915v1 Announce Type: new Abstract: AI agents can now carry out data-driven scientific analyses end to end, and benchmarks assess them by…

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