Author

Fangyu Lei

Observed name: Lei, Fangyu

Institutions: Chinese Academy of Sciences, Shandong Institute of Automation, Institute of Automation, University of Chinese Academy of Sciences, University of Hong Kong

Observed institutions: University of Science and Technology of China, Google (United States), University of Waterloo, Chinese Academy of Sciences, Google DeepMind (United Kingdom), Shandong Institute of Automation, Institute of Automation, Salesforce (United States), University of Chinese Academy of Sciences, University of Hong Kong

ORCID: 0000-0002-1678-1118

Observed ORCID: 0000-0002-1678-1118

OpenAlex ID: A5065062791

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

2024 · Tianbao Xie, Danyang Zhang, et al. · neural information processing systems · 58

DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models

2024 · Yiming Huang, Jianwen Luo, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 15

MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models

2023 · Yifan Wei, Yisong Su, et al. · 13

Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder

2022 · Lei, Fangyu, He, Shizhu, et al. · arXiv (Cornell University) · 9

Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent

2024 · Xiaoyan Yu, Tongxu Luo, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 8

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

2024 · Lei, Fangyu, Chen, Jixuan, et al. · arXiv (Cornell University) · 7

Competition-Level Problems are Effective LLM Evaluators

2024 · Yiming Huang, Zhenghao Lin, et al. · 7

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

2024 · Ruisheng Cao, Fangyu Lei, et al. · neural information processing systems · 7

MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models

2024 · Luo, Tongxu, Lei, Jiahe, et al. · arXiv (Cornell University) · 6

Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering

2024 · Xiang Li, Shizhu He, et al. · 6

Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question

2023 · Wei, Yifan, Lei, Fangyu, et al. · arXiv (Cornell University) · 5

S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering

2023 · Fangyu Lei, Xiang Li, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 5

Competition-Level Problems are Effective LLM Evaluators

2023 · Huang, Yiming, Lin, Zhenghao, et al. · arXiv (Cornell University) · 4

OpenCUA: Open Foundations for Computer-Use Agents

2025 · Xinyuan Wang, Bowen Wang, et al. · neural information processing systems · 3

S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model

2024 · Fangyu Lei, Qian Liu, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 3

Answer-Based Entity Extraction and Alignment for Visual Text Question Answering

2023 · Jun Yu, Mohan Jing, et al. · ACM International Conference on Multimedia (ACM MM) · 3

TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answering

2023 · Lei, Fangyu, Luo, Tongxu, et al. · arXiv (Cornell University) · 2

MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images

2023 · Liu, Weihao, Lei, Fangyu, et al. · arXiv (Cornell University) · 2

S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models

2023 · Lei, Fangyu, Liu, Qian, et al. · arXiv (Cornell University) · 1

HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering

2023 · Luo, Tongxu, Lei, Fangyu, et al. · arXiv (Cornell University) · 1

SWE-Touch: Benchmarking Coding Agents When Users Touch the Code

2026 · Tan, Yuqiao, Meng, Jinxiang, et al. · arXiv (Cornell University)

Spider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL Workflows

2026 · Liu, Tianyang, Xu, Canwen, et al. · arXiv (Cornell University)

GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks

2026 · Association for Computational Linguistics 2026, Dong, Bin, et al. · Underline Science Inc.

DV-World: Benchmarking Data Visualization Agents in Real-World Scenarios

2026 · Meng, Jinxiang, Huang, Shaoping, et al. · arXiv (Cornell University)

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence

2026 · Dong, Guanting, Lu, Junting, et al. · arXiv (Cornell University)

Works count: 43

Citation count: 165

H-index: 7

I10-index: 3