Wenqiang Lei
Orcid: 0000-0001-6540-0601
According to our database1,
Wenqiang Lei
authored at least 91 papers
between 2015 and 2024.
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Bibliography
2024
ACM Trans. Inf. Syst., January, 2024
Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector.
CoRR, 2024
Legend: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets.
CoRR, 2024
Backpropogation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration.
CoRR, 2024
Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective.
CoRR, 2024
Concept - An Evaluation Protocol on Conversational Recommender Systems with System-centric and User-centric Factors.
CoRR, 2024
Strength Lies in Differences! Towards Effective Non-collaborative Dialogues via Tailored Strategy Planning.
CoRR, 2024
DREditor: An Time-efficient Approach for Building a Domain-specific Dense Retrieval Model.
CoRR, 2024
Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem.
Proceedings of the ACM on Web Conference 2024, 2024
Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models' Understanding of Discourse Relations.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Big Data Min. Anal., September, 2023
Big Data Min. Anal., March, 2023
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems.
ACM Trans. Inf. Syst., 2023
IEEE Trans. Multim., 2023
CoRR, 2023
Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation.
CoRR, 2023
Knowing-how & Knowing-that: A New Task for Machine Reading Comprehension of User Manuals.
CoRR, 2023
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration.
CoRR, 2023
Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors.
CoRR, 2023
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023
DiVa: An Iterative Framework to Harvest More Diverse and Valid Labels from User Comments for Music.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Reduce Human Labor On Evaluating Conversational Information Retrieval System: A Human-Machine Collaboration Approach.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023
Fantastic Expressions and Where to Find Them: Chinese Simile Generation with Multiple Constraints.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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
2022
CoRR, 2022
Proceedings of the Seventh Conference on Machine Translation, 2022
Proceedings of the Seventh Conference on Machine Translation, 2022
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 MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users.
ACM Trans. Inf. Syst., 2021
Trans. Assoc. Comput. Linguistics, 2021
CoRR, 2021
AI Open, 2021
RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Have We Solved The Hard Problem? It's Not Easy! Contextual Lexical Contrast as a Means to Probe Neural Coherence.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
Revisit Automatic Error Detection for Wrong and Missing Translation - A Supervised Approach.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
2018
CoRR, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Linguistic Properties Matter for Implicit Discourse Relation Recognition: Combining Semantic Interaction, Topic Continuity and Attribution.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
2015
Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015