Cool Papers · cs.CL (papers.cool) · RSS 摘要

信源：Cool Papers · cs.CL (papers.cool) · https://papers.cool/arxiv/cs.CL/feed

• GEPA-Curator: Curated Learning for Self Improving Agents — Large Language Models (LLMs) are increasingly used in multi-turn agentic workloads that require sustained interaction with complex environments. Existing reflective prompt optimiz…
• Can LLMs Uncover Hidden Physical Laws through Free Exploration? — Scientific discovery often begins with an unexpected observation that prompts a new research question. In a world with altered physical laws, can large language models (LLMs) noti…
• Multi-State Linear Attention with Generalized Second-Order Routing — Self-attention plays a key role in long-sequence modeling, but its quadratic time complexity fundamentally limits the scaling of Large Language Models. Recently, Multi-State Linea…
• Metacognitive Decoding: Efficient Inference for Diffusion Language Agents — Diffusion language models offer a promising path to efficient agents through parallel token generation. However, efficient interaction requires adapting both where computation is …
• semanticfa: An R Package for Response-Free Semantic Factor Analysis of Psychometric Scales — The items of a reflective psychometric scale can be read as a proposal about a construct's structure. Language models make that proposal measurable by converting each item into an…