activity
20242026
most citedPharmAgents: Building a Virtual Pharma with Large Language Model Agents

2 citations · 4 across the 6 of their papers we have counts for

collaborators

9 papers

cs.AI2026

PharmAgents2: Towards Autonomous End-to-End Drug Discovery

Haichuan Tan, Bowen Gao, Tao Huang +22

Drug discovery requires continuous scientific decision-making across a vast research space. We introduce PharmAgents2, an autonomous system for end-to-end drug discovery that combi…

cs.CL2026

Beyond Representational Similarity: Source-Conditioned Description-Length Gain for Generative Plagiarism Detection and Candidate Source Reranking

Peijia Guo, Wenxuan Xie, ZiGuang Li +1

Large language models (LLMs) pose challenges to academic integrity and peer review. Yet generative plagiarism detection remains an underexplored and largely unresolved challenge. P…

cs.CL2026

Decoupled Reasoning with Implicit Fact Tokens (DRIFT): A Dual-Model Framework for Efficient Long-Context Inference

Wenxuan Xie, Yujia Wang, Xin Tan +3

The integration of extensive, dynamic knowledge into Large Language Models (LLMs) remains a significant challenge due to the inherent entanglement of factual data and reasoning pat…

cs.CL2025

SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes

Wenxuan Xie, Yaxun Dai, Wenhao Jiang

Recent advancements in large language models (LLMs) have significantly improved performance on the Text-to-SQL task. However, prior approaches typically rely on static, pre-process…

cs.CL2025

ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL

Yaxun Dai, Wenxuan Xie, Xialie Zhuang +6

In Text-to-SQL, execution feedback is essential for guiding large language models (LLMs) to reason accurately and generate reliable SQL queries. However, existing methods treat exe…

q-bio.BM2025★ 2 cited

PharmAgents: Building a Virtual Pharma with Large Language Model Agents

Bowen Gao, Yanwen Huang, Yiqiao Liu +4

The discovery of novel small molecule drugs remains a critical scientific challenge with far-reaching implications for treating diseases and advancing human health. Traditional dru…

q-bio.BM2025

Pushing the boundaries of Structure-Based Drug Design through Collaboration with Large Language Models

Bowen Gao, Yanwen Huang, Yiqiao Liu +4

Structure-Based Drug Design (SBDD) has revolutionized drug discovery by enabling the rational design of molecules for specific protein targets. Despite significant advancements in…

cs.LG2025★ 1 cited

SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series Forecasting

Wenxuan Xie, Fanpu Cao

In recent work on time-series prediction, Transformers and even large language models have garnered significant attention due to their strong capabilities in sequence modeling. How…

cs.CL2024★ 1 cited

MAG-SQL: Multi-Agent Generative Approach with Soft Schema Linking and Iterative Sub-SQL Refinement for Text-to-SQL

Wenxuan Xie, Gaochen Wu, Bowen Zhou

Recent In-Context Learning based methods have achieved remarkable success in Text-to-SQL task. However, there is still a large gap between the performance of these models and human…