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Research1 мин

Fix, Not Just Resample: Bounded Compiler-Guided Repair in Lean 4

arXiv:2610.26942v1 Announce Type: new Abstract: Automated theorem provers often rely on sampling language models, but proof assistants like Lean reject each failed step with a precise error message --- information that pure sampling discards. To overcome this, we introduce a…

arXiv — cs.AI
Research1 мин

SPEM: Structure-Aware Procedural Memory for Efficient Skill Use in LLM Agents

arXiv:2610.26995v1 Announce Type: new Abstract: LLM-based agents increasingly rely on reusable skills. However, scaling skill libraries makes efficient and accurate skill use difficult. Full skill loading incurs high token and runtime overhead. In contrast, flat semantic…

arXiv — cs.AI
Research1 мин

Does Multi-Agent Collaboration Reduce Hallucination in Clinical Tasks?

arXiv:2610.27027v1 Announce Type: new Abstract: Multi-agent LLM systems improve performance on clinical tasks, and that improvement is often read as evidence of a more trustworthy system. However, the two are not the same claim. A clinician acts on the stated reasoning and not…

arXiv — cs.AI
Research1 мин

Teaching AI Agent to Play Poker Strategically Through Preference Optimization

arXiv:2610.27028v1 Announce Type: new Abstract: A poker agent can make a legal move and still make a strategically poor one. We ask whether compact AI agents can exhibit strategic behavior under hidden information and whether preference optimization can improve beyond static and…

arXiv — cs.AI
Research1 мин

M-Plan: Comprehensive Planning For LLM Agents with Memory Arrangement

arXiv:2610.27032v1 Announce Type: new Abstract: Large language model (LLM)-based agents have recently demonstrated outstanding performance in single-turn tasks, yet they continue to struggle with long-horizon tasks, particularly in environments without prior training. A key…

arXiv — cs.AI
Research1 мин

PORA: Learning When More Reasoning Pays Off for LLM Agents

arXiv:2610.27119v1 Announce Type: new Abstract: LLM agents perform tasks over multiple steps and revise their actions based on feedback. As the total reasoning budget is often limited and must support future steps, the agent must choose between short and long reasoning before…

arXiv — cs.AI
Research1 мин

PROVISO: Provenance-Informed Action Selection for Secure LLM Agents

arXiv:2610.27115v1 Announce Type: new Abstract: LLM agents act on the external world through tools and third-party skills, so a single executed action can cause irreversible harm. Existing defenses judge a proposed action without tracking whether its content comes from the user…

arXiv — cs.AI
Research1 мин

EDMA: Entropy-Driven Multimodal Answering

arXiv:2610.27120v1 Announce Type: new Abstract: Multimodal question answering (MMQA) is based on integrating heterogeneous data sources, selectively leveraging relevant modalities, and ignoring distractors. Existing approaches based on Multimodal Large Language Models (MLLMs)…

arXiv — cs.AI
Research1 мин

MoSAIK: Motion Search with Artificial Intelligence in K-space

arXiv:2610.27156v1 Announce Type: new Abstract: Object: Motion artefacts remain a major limitation of routine two-dimensional T2-weighted turbo spin-echo (TSE) brain MRI, reducing diagnostic confidence and often necessitating repeated acquisitions. MoSAIK (Motion Search with AI…

arXiv — cs.AI
Research1 мин

Sparse RL Relaxation for LLM Reasoning

arXiv:2610.27220v1 Announce Type: new Abstract: Recent work has explored continuous representations in place of discrete tokens during Chain-of-Thought (CoT) reasoning, often referred to as soft CoT. This is motivated by the idea that a mixture of token embeddings can represent…

arXiv — cs.AI
Research1 мин

A general-purpose System One decision model for clinical records

arXiv:2610.27099v1 Announce Type: new Abstract: Clinical care, health-system operations and biomedical discovery depend on extracting reliable answers from patient records, yet applying diverse clinical questions across entire populations remains computationally expensive. Here…

arXiv — cs.AI
Research1 мин

Physical AI: Concepts, Techniques, and Challenges

arXiv:2610.27045v1 Announce Type: new Abstract: In recent years, physical artificial intelligence (physical AI) has experienced rapid development, capturing significant attention in academia and industry. However, the field has yet to reach consensus on its definition, technical…

arXiv — cs.AI
General1 мин

PHP warns it plans to release 2 emergency patches imminently

Website admins, brace yourselves. Fixes for what are believed to be uncommonly severe vulnerabilities are scheduled to drop in a little more than 12 hours for PHP, a programming language that powers websites and Web applications everywhere. PHP maintainers said Monday that they…

Ars Technica — AI
General1 мин

Co-founder of Replika launched Wabi - an AI messenger that creates applications itself

🤖 The co-founder of Replika launched Wabi - an AI messenger that creates applications itself. Evgenia Kuida opened access to Wabi - a personal AI agent that combines a messenger and a mini-application generator. Instead of the usual chats, here you can create separate threads for different...

Telegram — GPT Time | Нейросети | ИИ
General1 мин

Technologies Helping Solve Old Cold Cases

Modern advances in DNA technology and AI help solve old cases that have remained unsolved for decades. In one case, the company Othram used genetic genealogy to identify a suspect in a 1993 murder. Also…

Digital Donut AI Digest
Research1 мин

Judge dismisses Sam Altman’s sister’s sexual abuse lawsuit

On Tuesday, US District Judge Zachary Bluestone dismissed the lawsuit Ann Altman filed last year alleging that her brother, OpenAI CEO Sam Altman, had sexually abused her throughout her childhood. As reported earlier by The Guardian, the judge wrote that over the last year, Ann…

The Verge — AI
General1 мин

Google’s more personalized Gemini AI is heading to your car

Google is bringing Personal Intelligence to Gemini AI in your car. With this update, Gemini in Android Auto and cars with Google built-in can tap into your information across Google apps, including Gmail, Calendar, Maps, Photos, YouTube, and Search. As an example, Google says…

The Verge — AI