Yutao Zhu
Orcid: 0000-0002-9432-3251Affiliations:
- Université de Montréal, Canada
- Renmin University of China, Beijing, China (former)
According to our database1,
Yutao Zhu
authored at least 79 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
2017
2018
2019
2020
2021
2022
2023
2024
2025
0
5
10
15
20
25
30
22
8
4
3
3
1
8
6
6
11
3
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
IEEE Trans. Knowl. Data Eng., January, 2025
RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
IEEE Trans. Knowl. Data Eng., November, 2024
Knowl. Inf. Syst., September, 2024
Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models.
CoRR, 2024
From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning.
CoRR, 2024
CoRR, 2024
From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models.
CoRR, 2024
CoRR, 2024
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation.
CoRR, 2024
DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task.
CoRR, 2024
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation.
CoRR, 2024
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models.
CoRR, 2024
CoRR, 2024
CoRR, 2024
UFO: a Unified and Flexible Framework for Evaluating Factuality of Large Language Models.
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
ACM Trans. Inf. Syst., October, 2023
GDESA: Greedy Diversity Encoder with Self-attention for Search Results Diversification.
ACM Trans. Inf. Syst., April, 2023
WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus.
CoRR, 2023
An Empirical Study of Uniform-Architecture Knowledge Distillation in Document Ranking.
CoRR, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
ACM Trans. Inf. Syst., 2022
Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator.
CoRR, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the Advances in Information Retrieval, 2021
Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Information Retrieval - 27th China Conference, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
ReBoost: a retrieval-boosted sequence-to-sequence model for neural response generation.
Inf. Retr. J., 2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization.
CoRR, 2020
Improving Multi-turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
A Hybrid Framework of Emotion-Aware Seq2Seq Model for Emotional Conversation Generation.
Proceedings of the NII Testbeds and Community for Information Access Research, 2019
2018
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
2017