most citedChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning

4 citations · 4 across the 2 of their papers we have counts for

collaborators

9 papers

math.NA2025

On Eigenvector Computation and Eigenvalue Reordering for the Non-Hermitian Quaternion Eigenvalue Problem

Zhigang Jia, Meiyue Shao, Yanjun Shao

In this paper we present several additions to the quaternion QR algorithm, including algorithms for eigenvector computation and eigenvalue reordering. A key outcome of the eigenval…

cs.CL2025

Eigen-1: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoning

Xiangru Tang, Wanghan Xu, Yujie Wang +13

Large language models (LLMs) have recently shown strong progress on scientific reasoning, yet two major bottlenecks remain. First, explicit retrieval fragments reasoning, imposing…

cs.LG2025

CellForge: Agentic Design of Virtual Cell Models

Xiangru Tang, Zhuoyun Yu, Jiapeng Chen +12

Virtual cell modeling aims to predict cellular responses to diverse perturbations but faces challenges from biological complexity, multimodal data heterogeneity, and the need for i…

cs.CL2025

Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving

Xiangru Tang, Tianrui Qin, Tianhao Peng +15

AI agent frameworks operate in isolation, forcing agents to rediscover solutions and repeat mistakes across different systems. Despite valuable problem-solving experiences accumula…

q-bio.BM2025

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking

Chunan Liu, Aurelien Pelissier, Yanjun Shao +4

Accurate prediction of antibody-antigen (Ab-Ag) binding affinity is essential for therapeutic design and vaccine development, yet the performance of current models is limited by no…

cs.CL2025

Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards

Jaehoon Yun, Jiwoong Sohn, Jungwoo Park +9

Large language models have shown promise in clinical decision making, but current approaches struggle to localize and correct errors at specific steps of the reasoning process. Thi…