2025
Conversational Search: From Fundamentals to Frontiers in the LLM Era.
CoRR, June, 2025
Bridging the Gap: From Ad-hoc to Proactive Search in Conversations.
CoRR, June, 2025
WXImpactBench: A Disruptive Weather Impact Understanding Benchmark for Evaluating Large Language Models.
CoRR, May, 2025
Future Link Prediction Without Memory or Aggregation.
CoRR, May, 2025
Multilingual Collaborative Defense for Large Language Models.
CoRR, May, 2025
OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence.
CoRR, March, 2025
Entropy-based Exploration Conduction for Multi-step Reasoning.
CoRR, March, 2025
A Survey of Model Architectures in Information Retrieval.
CoRR, February, 2025
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics.
CoRR, February, 2025
LEKA:LLM-Enhanced Knowledge Augmentation.
CoRR, January, 2025
Can Large Language Models Understand Preferences in Personalized Recommendation?
CoRR, January, 2025
2024
Mixture of Latent Experts Using Tensor Products.
Trans. Mach. Learn. Res., 2024
RALI@TREC iKAT 2024: Achieving Personalization via Retrieval Fusion in Conversational Search.
CoRR, 2024
Thought Space Explorer: Navigating and Expanding Thought Space for Large Language Model Reasoning.
CoRR, 2024
A Survey of Conversational Search.
CoRR, 2024
Boosting Biomedical Concept Extraction by Rule-Based Data Augmentation.
CoRR, 2024
Retrieval-Augmented Feature Generation for Domain-Specific Classification.
CoRR, 2024
Mixture of Experts Using Tensor Products.
CoRR, 2024
A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers.
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CoRR, 2024
Language Modeling Using Tensor Trains.
CoRR, 2024
A User-Centric Benchmark for Evaluating Large Language Models.
CoRR, 2024
ConvSDG: Session Data Generation for Conversational Search.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
RAG-Studio: Towards In-Domain Adaptation of Retrieval Augmented Generation Through Self-Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Aligning Query Representation with Rewritten Query and Relevance Judgments in Conversational Search.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
History-Aware Conversational Dense Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Learning to Relate to Previous Turns in Conversational Search.
CoRR, 2023
Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search.
CoRR, 2023
Learning Denoised and Interpretable Session Representation for Conversational Search.
Proceedings of the ACM Web Conference 2023, 2023
RALI@TREC iKAT 2023: Generative Query Reformulation for Conversational Information Seeking.
Proceedings of the Thirty-Second Text REtrieval Conference Proceedings (TREC 2023), 2023
Learning to Relate to Previous Turns in Conversational Search.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
ConvGQR: Generative Query Reformulation for Conversational Search.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Search-Oriented Conversational Query Editing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
A Customized Text Sanitization Mechanism with Differential Privacy.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Domain-Aware Word Segmentation for Chinese Language: A Document-Level Context-Aware Model.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022
A Customised Text Privatisation Mechanism with Differential Privacy.
CoRR, 2022
ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Dynamic Differential-Privacy Preserving SGD.
CoRR, 2021
2020
A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020