Yingqi Qu
According to our database1,
Yingqi Qu
authored at least 13 papers
between 2021 and 2025.
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Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2025
A New Insight into the Epipole from Four Point Correspondences in Two Calibrated Views.
J. Math. Imaging Vis., January, 2025
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
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
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
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