Yingqi Qu

According to our database1, Yingqi Qu authored at least 11 papers between 2021 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
Self-Evaluation of Large Language Model based on Glass-box Features.
CoRR, 2024

An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Models are Task-specific Classifiers.
CoRR, 2024

BASES: Large-scale Web Search User Simulation with Large Language Model based Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Self-Evaluation of Large Language Model based on Glass-box Features.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation.
CoRR, 2023

A Thorough Examination on Zero-shot Dense Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine.
CoRR, 2022

DuReader-Retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021


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