activity
20232025
most citedStruc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?

5 citations · 14 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

DyFlow: Dynamic Workflow Framework for Agentic Reasoning

Yanbo Wang, Zixiang Xu, Yue Huang +9

Agent systems based on large language models (LLMs) have shown great potential in complex reasoning tasks, but building efficient and generalizable workflows remains a major challe…

cs.LG2025★ 3 cited

AI Scientists for Building Virtual-Cell Models

Xiangru Tang, Zhuoyun Yu, Jiapeng Chen +12

Autonomous agents, from virtual laboratories to biological data-analysis agents and co-scientists, have begun to turn scientific goals into hypotheses. Whether they can go further…

cs.CL2025

SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks

Yilun Zhao, Kaiyan Zhang, Tiansheng Hu +15

We present SciArena, an open and collaborative platform for evaluating foundation models on scientific literature-grounded tasks. Unlike traditional benchmarks for scientific liter…

cs.SE2025

LocAgent: Graph-Guided LLM Agents for Code Localization

Zhaoling Chen, Xiangru Tang, Gangda Deng +6

Code localization--identifying precisely where in a codebase changes need to be made--is a fundamental yet challenging task in software maintenance. Existing approaches struggle to…

cs.CL2025

MedicalAgentsBench for Complex Medical Reasoning: Comparing Internalized Reasoning Models versus Externalized Agent-based Frameworks

Yanjun Shao, Xiangru Tang, Jiwoong Sohn +10

Complex medical reasoning requires integrating heterogeneous clinical evidence across multiple inference steps. Large language models (LLMs) now approach this through two routes: i…