19 citations · 19 across the 11 of their papers we have counts for
12 papers
Molecular LLM Agents: From Architectural Design to Scientific Autonomy
Jiatong Li, Wengyu Zhang, Weida Wang +8
Molecular science represents an important frontier for LLM-based agents. Unlike general agents that mainly operate over natural language, code, or web environments, molecular LLM a…
Meta-Moderator: Empowering Multi-Agent Debate with Meta-Cognition
Wentao Hu, Zhuoyue Wan, Jinhao Shen +3
Multi-agent debate can improve large language model reasoning by eliciting diverse hypotheses and critiques, yet its performance is often constrained by weak moderation. Common pip…
Chemical Chain-of-Thought Functions as a Hallucination-Prone Molecular Scratchpad
Jiatong Li, Yuxuan Ren, Weida Wang +2
Chemical reasoning language models are expected to derive molecular answers through faithful chain-of-thought (CoT). However, across four reasoning model families and twelve chemis…
Explaining and Tuning Transformer-based LLMs in Arithmetic Tasks with Human Strategies
Luyu Qiu, Jianing Li, Hwanhee Kim +4
Transformer-based large language models (LLMs) continue to achieve state-of-the-art performance across various natural language processing tasks. However, their subpar performance…
DataClaw: An Autonomous Data Agent with Instant Messaging Integration
Huahang Li, Wentao Hu, Zhuoyue Wan +3
In daily life, there are many scenarios that people need to tackle data-related tasks, such as filling out forms, analyzing Excel files, and visualize data report. However, the too…
OmniColor: A Unified Framework for Multi-modal Lineart Colorization
Xulu Zhang, Haoqian Du, Xiaoyong Wei +1
Lineart colorization is a critical stage in professional content creation, yet achieving precise and flexible results under diverse user constraints remains a significant challenge…
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…
Prior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment Retrieval
Yiyang Jiang, Wengyu Zhang, Xulu Zhang +3
In this paper, we investigate the feasibility of leveraging large language models (LLMs) for integrating general knowledge and incorporating pseudo-events as priors for temporal co…