Fangyu Lei

Orcid: 0000-0002-1678-1118

According to our database1, Fangyu Lei authored at least 15 papers between 2022 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent.
CoRR, 2024

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

2023
Competition-Level Problems are Effective LLM Evaluators.
CoRR, 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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