语言大模型 / LLM

RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation Tasks

Mian Wu, Gavin Zhang, Sewon Min, Sergey Levine, Aviral Kumar

机构 * Shanghai Jiao Tong University（上海交通大学） ； UC Berkeley（加州大学伯克利分校） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

专题命中 后训练与偏好优化 ：LLM(abstract)；large language model(abstract)；language model(abstract)；post-training(abstract)

Comments Project page: https://mianwu01.github.io/RLAC_website/

Plan-and-Write: Structure-Guided Length Control for LLMs without Model Retraining

Adewale Akinfaderin, Shreyas Subramanian, Akarsha Sehwag

机构 * Amazon Web Services（亚马逊网络服务） 纠错

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

Comments Presented at Workshop on Prompt Optimization, KDD 2025, Toronto, Canada

Language-Driven Coordination and Learning in Multi-Agent Simulation Environments

Zhengyang Li, Sawyer Campos, Nana Wang

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

Policy Optimized Text-to-Image Pipeline Design

Uri Gadot, Rinon Gal, Yftah Ziser, Gal Chechik, Shie Mannor

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

Deployable Vision-driven UAV River Navigation via Human-in-the-loop Preference Alignment

Zihan Wang, Jianwen Li, Li-Fan Wu, Nina Mahmoudian

机构 * School of Mechanical Engineering, Purdue University（机械工程学院，普渡大学） 纠错

专题命中 后训练与偏好优化 ：preference optimization(abstract)

Comments Submitted to ICRA 2026