Актуализира се ежедневно3936 проверени истории
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Всяка история се свързва с най-силните налични доказателства: оригинални източници, когато са налични, иначе ясно приписани доклади.
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Още истории
9 историиИновация
MacroAgent uses LLM-designed heuristics to improve chip macro legalization
An arXiv preprint describes MacroAgent, a four-stage framework that uses large language models to discover contour algorithms for arranging large circuit components. The authors report improved layout regularity, shorter routed wirelength and better end-to-end results on TILOS, Chipyard and Cadence Innovus evaluations.arxiv.orgИновация
Paper proposes adaptive graph-or-language handoffs for multi-agent LLMs
Routed Graph Handoff uses a lightweight language-model router to choose between structured dependency graphs and natural-language messages when AI agents delegate tasks.arxiv.orgИновация
DataKernelBench tests whether LLMs can optimize GPU database queries
A new benchmark evaluates whether language models can generate and improve GPU code for database-style queries, with the paper reporting speedups of up to 2.11× on one H100 GPU and 2.54× across four H100 GPUs.arxiv.orgСигурност
Paper reports bit-flip attack that can drive mixture-of-experts LLMs into long generation loops
A paper accepted at EMNLP 2026 reports that flipping routing-layer bits in mixture-of-experts language models can sharply inflate output length, potentially creating an availability and inference-cost risk.arxiv.orgИновация
Claim-locked reporting aims to keep AI-generated scientific claims tied to evidence
An arXiv preprint proposes fixing a report’s evidence, numbers, directions and permitted wording before an LLM generates connective prose. The authors report higher cross-run reproducibility than a hybrid template in fMRI and randomized-trial reporting, alongside lower observed token use and median latency in one…arxiv.orgИновация
ClueWeaver uses dual-agent reasoning to help compact LLMs analyze long narratives
A newly submitted paper presents ClueWeaver, a reward-trained framework that divides long-narrative question answering between evidence retrieval and interpretation in compact, locally deployable language models.arxiv.orgИновация
GRIN paper proposes reinforcement learning for continual knowledge injection in language models
A new arXiv paper proposes Golden-GRPO Injection, a three-stage self-learning framework intended to help large language models absorb newly injected knowledge and apply it across paraphrases, combined documents and reasoning tasks.arxiv.orgИновация
BanglaMamba trades some accuracy for faster, lower-memory Bangla fake-news detection
A new preprint reports that BanglaMamba, a state space model for Bangla fake-news detection, uses less GPU memory and processes data faster than tested BERT-based systems, while trailing BanglaBERT on accuracy and external-dataset performance.arxiv.orgСигурност
Preprint finds persuasion can spread through LLM agent networks
A new preprint reports that direct messages and peer relays can shift the stances of language-model agents, and argues that evaluations should track exposure histories and actions, not text alone.arxiv.org
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