Shi Yu
Orcid: 0000-0001-6335-1076Affiliations:
- Tsinghua University, Department of Computer Science and Technology, Beijing, China
According to our database1,
Shi Yu
authored at least 30 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on github.com
On csauthors.net:
Bibliography
2025
ConsRec: Denoising Sequential Recommendation through User-Consistent Preference Modeling.
CoRR, May, 2025
UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation.
CoRR, April, 2025
ACM Trans. Inf. Syst., March, 2025
LLM-QE: Improving Query Expansion by Aligning Large Language Models with Ranking Preferences.
CoRR, February, 2025
Learning More Effective Representations for Dense Retrieval through Deliberate Thinking Before Search.
CoRR, February, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
CoRR, 2024
Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression.
CoRR, 2024
Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
CoRR, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
P<sup>3</sup> Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning.
CoRR, 2022
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
2020
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search.
CoRR, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020