Shufei Zhang

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area

2024 · arXiv (Cornell University)

Large Language Models (LLMs) have achieved remarkable success and have been applied across various scientific fields, including chemistry. However, many chemical tasks require the processing of visual information, which cannot be successfully handled by existing …

Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning

2025 · arXiv (Cornell University)

Large language models (LLMs) demonstrate strong reasoning abilities via Chain-of-Thought (CoT), but their token-level generation encourages local decisions and lacks global planning, often leading to redundant or inaccurate reasoning. Existing methods, such as tree-based search …