Yang Deng

Orcid: 0000-0002-8122-5943

Affiliations:
  • 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:

Timeline

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Bibliography

2024
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers.
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

A Unified Framework for Contextual and Factoid Question Generation.
IEEE Trans. Knowl. Data Eng., January, 2024

Knowledge Boundary of Large Language Models: A Survey.
CoRR, 2024

Lens: Rethinking Multilingual Enhancement for Large Language Models.
CoRR, 2024

The Oscars of AI Theater: A Survey on Role-Playing with Language Models.
CoRR, 2024

Hello Again! LLM-powered Personalized Agent for Long-term Dialogue.
CoRR, 2024

Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching.
CoRR, 2024

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

Consecutive Model Editing with Batch alongside HooK Layers.
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

Large Language Model Powered Agents in the Web.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Towards Human-centered Proactive Conversational Agents.
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

Large Language Model Powered Agents for Information Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Thoughts to Target: Enhance Planning for Target-driven Conversation.
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

Ask-before-Plan: Proactive Language Agents for Real-World Planning.
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

Consecutive Batch Model Editing with HooK Layers.
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

Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Self-chats from Large Language Models Make Small Emotional Support Chatbot Better.
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

WatME: Towards Lossless Watermarking Through Lexical Redundancy.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

On the Multi-turn Instruction Following for Conversational Web Agents.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges.
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

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

X-Mark: Towards Lossless Watermarking Through Lexical Redundancy.
CoRR, 2023

On Generative Agents in Recommendation.
CoRR, 2023

Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue.
CoRR, 2023

Social Media Fashion Knowledge Extraction as Captioning.
CoRR, 2023

Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals.
CoRR, 2023

Building Emotional Support Chatbots in the Era of LLMs.
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

Learning to Ask Clarification Questions with Spatial Reasoning.
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

Multimodal Fashion Knowledge Extraction as Captioning.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

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

Unifying Text, Tables, and Images for Multimodal Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Attack Prompt Generation for Red Teaming and Defending Large Language Models.
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

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

PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Product Question Answering in E-Commerce: A Survey.
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

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

Answer Category-Aware Answer Selection for Question Answering.
IEEE Access, 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

Aspect-based Sentiment Analysis in Question Answering Forums.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Aspect Sentiment Quad Prediction as Paraphrase Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Exploiting Reasoning Chains for Multi-hop Science Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation.
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

Towards Generative Aspect-Based Sentiment Analysis.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Research on AI Composition Recognition Based on Music Rules.
CoRR, 2020

Review-guided Helpful Answer Identification in E-commerce.
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

AnswerFact: Fact Checking in Product Question Answering.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multi-hop Inference for Question-driven Summarization.
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

Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Medical Big Data Mining: Joint Symptom Name Recognition and Severity Estimation.
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

Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs.
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

Open Domain Question Answering with Character-Level Deep Learning Models.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017


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