Fangyu Lei

Orcid: 0000-0002-1678-1118

According to our database1, Fangyu Lei authored at least 21 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models.
CoRR, 2024

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
CoRR, 2024

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments.
CoRR, 2024

MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models.
CoRR, 2024

S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Competition-Level Problems are Effective LLM Evaluators.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Assessing Knowledge Editing in Language Models via Relation Perspective.
CoRR, 2023

S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models.
CoRR, 2023

TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answering.
CoRR, 2023

HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering.
CoRR, 2023

MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images.
CoRR, 2023

S<sup>3</sup>HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering.
CoRR, 2023

Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question.
CoRR, 2023

Answer-Based Entity Extraction and Alignment for Visual Text Question Answering.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Multi-Target Semantic Parsing with Collaborative Deliberation Network.
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder.
Proceedings of the 29th International Conference on Computational Linguistics, 2022


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