Weijie Yu
Orcid: 0000-0002-5676-4339Affiliations:
- University of International Business and Economics, School of Information Technology and Management, Beijing, China
- Renmin University, School of Information, China (PhD 2023)
According to our database1,
Weijie Yu authored at least 36 papers
between 2020 and 2026.
Collaborative distances:
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Timeline
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Bibliography
2026
Towards Understanding Continual Factual Knowledge Acquisition of Language Models: From Theory to Algorithm.
CoRR, May, 2026
Enhancing Bandit Algorithms with LLMs for Time-varying User Preferences in Streaming Recommendations.
ACM Trans. Inf. Syst., March, 2026
CoRR, March, 2026
Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience.
CoRR, January, 2026
Empowering open-domain LLMs for legal document correction via legal knowledge integration and decoding constraints.
Inf. Process. Manag., 2026
2025
LLaDA-Rec: Discrete Diffusion for Parallel Semantic ID Generation in Generative Recommendation.
CoRR, November, 2025
CoRR, August, 2025
Decoding Recommendation Behaviors of In-Context Learning LLMs Through Gradient Descent.
CoRR, April, 2025
CoRR, April, 2025
Uncertainty-aware evidential learning for legal case retrieval with noisy correspondence.
Inf. Sci., 2025
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025
MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation.
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Similarity = Value? Consultation Value-Assessment and Alignment for Personalized Search.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
SyLeR: A Framework for Explicit Syllogistic Legal Reasoning in Large Language Models.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
IEEE Trans. Knowl. Data Eng., June, 2024
Generating Model Parameters for Controlling: Parameter Diffusion for Controllable Multi-Task Recommendation.
CoRR, 2024
Enhancing Sequential Recommendations through Multi-Perspective Reflections and Iteration.
CoRR, 2024
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems.
CoRR, 2024
Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Incorporating Judgment Prediction into Legal Case Retrieval via Law-aware Generative Retrieval.
CoRR, 2023
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
2022
Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains.
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2020
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020