3 papers
cs.CL2026
ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language Understanding
Xuanle Zhao, Xinyuan Cai, Xiang Cheng +2
While Vision-Language Models (VLMs) have demonstrated significant potential in chemical visual understanding, current models are predominantly optimized for direct visual question-…
cs.CL2026
Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning
Lei Huang, Xiang Cheng, Chenxiao Zhao +6
Large language models (LLMs) typically receive diverse natural language (NL) feedback through interaction with the environment. However, current reinforcement learning (RL) algorit…
cs.LG2026
In-Context Semi-Supervised Learning
Jiashuo Fan, Paul Rosu, Aaron T. Wang +3
There has been significant recent interest in understanding the capacity of Transformers for in-context learning (ICL), yet most theory focuses on supervised settings with explicit…