语言大模型 / LLM

CM-Align: Consistency-based Multilingual Alignment for Large Language Models

Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou

机构 * Key Laboratory of Big Data & Artificial Intelligence in Transportation, Beijing Jiaotong University, Ministry of Education（大数据与人工智能交通运输 key laboratory，北京交通大学，教育部） ； School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China（计算机科学与技术学院，北京交通大学，北京，中国） ； Pattern Recognition Center, WeChat AI, Tencent Inc, China（模式识别中心，微信AI，腾讯公司，中国） 纠错

专题命中 后训练与偏好优化 ：large language model(title,abstract)；language model(title,abstract)；preference optimization(abstract)；分类 cs.CL

Comments EMNLP 2025 Findings

One Goal, Many Challenges: Robust Preference Optimization Amid Content-Aware and Multi-Source Noise

Amirabbas Afzali, Amirhossein Afsharrad, Seyed Shahabeddin Mousavi, Sanjay Lall

专题命中 后训练与偏好优化 ：preference optimization(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.LG

Look Again, Think Slowly: Enhancing Visual Reflection in Vision-Language Models

Pu Jian, Junhong Wu, Wei Sun, Chen Wang, Shuo Ren, Jiajun Zhang

专题命中 后训练与偏好优化 ：language model(title,abstract)；分类 cs.CL

Comments EMNLP2025 Main

Offline RLAIF: Piloting VLM Feedback for RL via SFO

Jacob Beck

机构 * Jacob Beck 1 纠错

专题命中 后训练与偏好优化 ：language model(abstract)；RLHF(abstract)；分类 cs.AI、cs.LG

Comments Code is provided at https://github.com/jacooba/OfflineRLAIF

Journal ref Published at The RLC 2025 Workshop on Reinforcement Learning Beyond Rewards: Ingredients for Developing Generalist Agents

Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation

Anirban Saha Anik, Xiaoying Song, Elliott Wang, Bryan Wang, Bengisu Yarimbas, Lingzi Hong

机构 * University of North Texas（北卡罗来纳州立大学） 纠错

专题命中 后训练与偏好优化 ：language model(abstract,journal_ref)；large language model(abstract)；分类 cs.CL

Comments Accepted for publication at COLM 2025

Journal ref Second Conference on Language Modeling (COLM 2025)

Base Models Beat Aligned Models at Randomness and Creativity

Peter West, Christopher Potts

机构 * Stanford University（斯坦福大学） ； University of British Columbia（不列颠哥伦比亚大学） 纠错

专题命中 后训练与偏好优化 ：LLM(abstract)；language model(abstract)；分类 cs.CL

Dynamic Adaptive Shared Experts with Grouped Multi-Head Attention Mixture of Experts

Cheng Li, Jiexiong Liu, Yixuan Chen, Jie ji

机构 * KunLun Meta（昆仑元） 纠错

专题命中 后训练与偏好优化 ：post-training(abstract)；分类 cs.AI、cs.LG