Yang Deng
Orcid: 0000-0002-8122-5943Affiliations:
- Singapore Management University, School of Computing and Information Systems, Singapore
- National University of Singapore, School of Computing, Singapore (former)
- Chinese University of Hong Kong, Hong Kong (former)
According to our database1,
Yang Deng
authored at least 97 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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Bibliography
2024
ACM Comput. Surv., November, 2024
Nonfactoid Question Answering as Query-Focused Summarization With Graph-Enhanced Multihop Inference.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
IEEE Trans. Knowl. Data Eng., January, 2024
Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching.
CoRR, 2024
Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems.
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
Gotcha! Don't trick me with unanswerable questions! Self-aligning Large Language Models for Responding to Unknown Questions.
CoRR, 2024
UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems.
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation.
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
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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
Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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
Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation.
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 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
2023
IEEE Trans. Knowl. Data Eng., November, 2023
Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., November, 2023
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems.
ACM Trans. Inf. Syst., 2023
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue.
CoRR, 2023
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals.
CoRR, 2023
A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers.
CoRR, 2023
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration.
CoRR, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge.
ACM Trans. Inf. Syst., 2022
Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling.
ACM Trans. Inf. Syst., 2022
User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 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
2021
Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling.
CoRR, 2021
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Intra-/Inter-Interaction Network with Latent Interaction Modeling for Multi-turn Response Selection.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition.
CoRR, 2018
Gastroenterology Ontology Construction Using Synonym Identification and Relation Extraction.
IEEE Access, 2018
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge.
Proceedings of the 27th International Conference on Computational Linguistics, 2018
2017
Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking.
Proceedings of the Smart Computing and Communication, 2017
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions.
Proceedings of the Smart Computing and Communication, 2017
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017