19 citations · 19 across the 11 of their papers we have counts for
5 papers · 1 filter
Chem-R: Learning to Reason as a Chemist
Weida Wang, Benteng Chen, Di Zhang +14
Although large language models (LLMs) have significant potential to advance chemical discovery, current LLMs lack core chemical knowledge, produce unreliable reasoning trajectories…
GLProtein: Global-and-Local Structure Aware Protein Representation Learning
Yunqing Liu, Wenqi Fan, Xiaoyong Wei +1
Proteins are central to biological systems, participating as building blocks across all forms of life. Despite advancements in understanding protein functions through protein seque…
Removal of Hallucination on Hallucination: Debate-Augmented RAG
Wentao Hu, Wengyu Zhang, Yiyang Jiang +3
Retrieval-Augmented Generation (RAG) enhances factual accuracy by integrating external knowledge, yet it introduces a critical issue: erroneous or biased retrieval can mislead gene…
MolGround: A Benchmark for Molecular Grounding
Jiaxin Wu, Ting Zhang, Rubing Chen +4
Current molecular understanding approaches predominantly focus on the descriptive aspect of human perception, providing broad, topic-level insights. However, the referential aspect…
Generating on Generated: An Approach Towards Self-Evolving Diffusion Models
Xulu Zhang, Xiaoyong Wei, Jinlin Wu +4
Recursive Self-Improvement (RSI) enables intelligence systems to autonomously refine their capabilities. This paper explores the application of RSI in text-to-image diffusion model…