大模型推理能力

SuperRL: Reinforcement Learning with Supervision to Boost Language Model Reasoning

Yihao Liu, Shuocheng Li, Lang Cao, Yuhang Xie, Mengyu Zhou, Haoyu Dong, Xiaojun Ma, Shi Han, Dongmei Zhang

机构 * Peking University（北京大学） ； University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Microsoft（微软公司） 纠错

专题命中 复杂问题求解 ：reasoning(title,abstract)；分类 cs.AI

M2IO-R1: An Efficient RL-Enhanced Reasoning Framework for Multimodal Retrieval Augmented Multimodal Generation

Zhiyou Xiao, Qinhan Yu, Binghui Li, Geng Chen, Chong Chen, Wentao Zhang

专题命中 复杂问题求解 ：reasoning(title,abstract)

SC-Captioner: Improving Image Captioning with Self-Correction by Reinforcement Learning

Lin Zhang, Xianfang Zeng, Kangcong Li, Gang Yu, Tao Chen

机构 * College of Future Information Technology, Fudan University（复旦大学未来信息科技学院） ； StepFun ； Shanghai Innovation Institute（上海创新研究院） 纠错

专题命中 复杂问题求解 ：self-correction(title)

Comments ICCV 2025

A Framework for Inherently Safer AGI through Language-Mediated Active Inference

Bo Wen

机构 * IBM T.J. Watson Research Center（IBM T.J. Watson研究院） 纠错

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.AI、cs.LG

HySemRAG: A Hybrid Semantic Retrieval-Augmented Generation Framework for Automated Literature Synthesis and Methodological Gap Analysis

Alejandro Godinez

专题命中 复杂问题求解 ：self-correction(abstract)；分类 cs.AI、cs.LG

Comments 47 pages, 10 figures. Code: https://github.com/agodinezmm2007/docling_mod. Demo: https://youtu.be/ZCy5ESJ1gVE?si=K8CttwgTj7yGrWjn. ETL+multi-agent RAG framework for literature synthesis, 35.1% improvement over PDF chunking. Real application: reduced 17,400 papers to 24 relevant ones (99.86%) in 10 minutes for wastewater epidemiology review

Show, Don't Tell: Uncovering Implicit Character Portrayal using LLMs

Brandon Jaipersaud, Zining Zhu, Frank Rudzicz, Elliot Creager

专题命中 复杂问题求解 ：chain-of-thought(abstract)；分类 cs.CL、cs.AI

Journal ref NeurIPS 2024 Creativity and Generative AI Workshop

Improving Table Retrieval with Question Generation from Partial Tables

Hsing-Ping Liang, Che-Wei Chang, Yao-Chung Fan

专题命中 复杂问题求解 ：reasoning(abstract)

Comments TRL@ACL2025