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
Special Issue on Conversational Information Seeking.
ACM Trans. Web, November, 2024

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System.
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

Dishonesty in Helpful and Harmless Alignment.
CoRR, 2024

Backpropogation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration.
CoRR, 2024

Co-Matching: Towards Human-Machine Collaborative Legal Case Matching.
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

See the Unseen: Better Context-Consistent Knowledge-Editing by Noises.
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

ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CARE: A Clue-guided Assistant for CSRs to Read User Manuals.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

PAGED: A Benchmark for Procedural Graphs Extraction from Documents.
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

Towards Equipping Transformer with the Ability of Systematic Compositionality.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Artificial Intelligence Methods Applied to Catalytic Cracking Processes.
Big Data Min. Anal., September, 2023

Ultra-Short Wave Communication Squelch Algorithm Based on Deep Neural Network.
Big Data Min. Anal., March, 2023

A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems.
ACM Trans. Inf. Syst., 2023

State Graph Reasoning for Multimodal Conversational Recommendation.
IEEE Trans. Multim., 2023

Towards Goal-oriented Intelligent Tutoring Systems in Online Education.
CoRR, 2023

OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models.
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

FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion.
CoRR, 2023

A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking.
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

A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Towards Effective Automatic Debt Collection with Persona Awareness.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Dynamic Voting for Efficient Reasoning in Large Language Models.
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

TRAVEL: Tag-Aware Conversational FAQ Retrieval via Reinforcement Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Goal Awareness for Conversational AI: Proactivity, Non-collaborativity, and Beyond.
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

Knowing-how & Knowing-that: A New Task for Machine Comprehension of User Manuals.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Tailor: A Soft-Prompt-Based Approach to Attribute-Based Controlled Text Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task.
CoRR, 2022

Draft, Command, and Edit: Controllable Text Editing in E-Commerce.
CoRR, 2022

RDU: A Region-based Approach to Form-style Document Understanding.
CoRR, 2022

Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation.
CoRR, 2022

KuaiRec: A Fully-observed Dataset for Recommender Systems.
CoRR, 2022

Prompt Learning for Few-Shot Dialogue State Tracking.
CoRR, 2022

Alibaba-Translate China's Submission for WMT2022 Metrics Shared Task.
Proceedings of the Seventh Conference on Machine Translation, 2022

Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task.
Proceedings of the Seventh Conference on Machine Translation, 2022

Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Towards Complex Document Understanding By Discrete Reasoning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Abstract Rule Learning for Paraphrase Generation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction.
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

KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

GCPG: A General Framework for Controllable Paraphrase Generation.
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

Dialogue State Tracking with Incremental Reasoning.
Trans. Assoc. Comput. Linguistics, 2021

Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering.
CoRR, 2021

Advances and challenges in conversational recommender systems: A survey.
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

GMH: A General Multi-hop Reasoning Model for KG Completion.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network.
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

POS-Constrained Parallel Decoding for Non-autoregressive Generation.
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
GMH: A General Multi-hop Reasoning Model for KG Completion.
CoRR, 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

Conversational Recommendation: Formulation, Methods, and Evaluation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Interactive Path Reasoning on Graph for Conversational Recommendation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Re-examining the Role of Schema Linking in Text-to-SQL.
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
Recent Advances in Neural Question Generation.
CoRR, 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
Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation.
CoRR, 2018

Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation.
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
SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2015
Constructing Learning Maps for Lecture Videos by Exploring Wikipedia Knowledge.
Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015


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