Yang Deng

69 papers · 2018–2026 · 9 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (7) 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (10) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (13) 🌈 Renaissance Researcher (10) 🧭 Keyword Pioneer 🏠 Conference Loyalist (29) 🤝 Dynamic Duo (24) 🏆 Keyword Champion (2) 🔬 Deep Specialist (17) 🧬 Topic Evolution 🚀 Conference Pioneer ⚡ Prolific Year (18) ❓ The Questioner 🗃️ Keyword Collector (324) 📈 Trend Setter 💎 Century Club (64) 🔥 Unstoppable (8)

Conferences

EMNLP (29) ACL (20) AAAI (9) ICLR (3) COLING (2) IJCAI (2) NAACL (2) IJCNLP (1) NIPS (1)

Top co-authors

Tat-Seng Chua (24) Wai Lam (19) Wenxuan Zhang (16) Wenqiang Lei (11) See-Kiong Ng (8) Liang Chen (6) Chen Huang (6) Kam-Fai Wong (6) Ying Shen (6) Xin Li (5)

Research topics

Keywords

large language model (24) dialogue system (9) text generation (6) question answering (5) aspect-based sentiment analysis (4) multi-hop reasoning (4) conversational ai (4) response generation (4) product question answering (3) emotional support conversation (3) knowledge graph (3) conversational recommender system (3) chain-of-thought reasoning (3) safety alignment (3) dialogue generation (3) question generation (3) answer selection (3) multi-task learning (2) information retrieval (2) multimodal learning (2)

Papers

RecToM: A Benchmark for Evaluating Machine Theory of Mind in LLM-based Conversational Recommender Systems AAAI 2026

Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities AAAI 2026

Do Retrieval Augmented Language Models Know When They Don’t Know? AAAI 2026

Towards Human-centered Proactive Conversational AI AAAI 2026

Pano-GS: Perception-Aware Gaussian Optimization with Gradient Consistency and Multi-Criteria Densification for High-Quality Rendering AAAI 2026

LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph AAAI 2025

How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond ACL 2025

EvoWiki: Evaluating LLMs on Evolving Knowledge ACL 2025

Knowledge Boundary of Large Language Models: A Survey ACL 2025

Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs ACL 2025

Browsing Like Human: A Multimodal Web Agent with Experiential Fast-and-Slow Thinking ACL 2025

MPO: Multilingual Safety Alignment via Reward Gap Optimization ACL 2025

Think Both Ways: Teacher-Student Bidirectional Reasoning Enhances MCQ Generation and Distractor Quality ACL 2025

ChatCRS: Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems NAACL 2025

Hello Again! LLM-powered Personalized Agent for Long-term Dialogue NAACL 2025

Weather Foundation Model Enhanced Decentralized Photovoltaic Power Forecasting Through Spatio-temporal Knowledge Distillation IJCAI 2025

PEARL: Towards Permutation-Resilient LLMs ICLR 2025

Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter EMNLP 2025

AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender EMNLP 2025

Why Stop at One Error? Benchmarking LLMs as Data Science Code Debuggers for Multi-Hop and Multi-Bug Errors EMNLP 2025

From Personas to Talks: Revisiting the Impact of Personas on LLM-Synthesized Emotional Support Conversations EMNLP 2025

Aligning Large Language Models for Faithful Integrity Against Opposing Argument AAAI 2025

FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models ACL 2025

Don’t Just Say “I don’t know”! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations EMNLP 2024

Consecutive Batch Model Editing with HooK Layers EMNLP 2024

Thoughts to Target: Enhance Planning for Target-driven Conversation EMNLP 2024

Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model EMNLP 2024

Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations EMNLP 2024

Ask-before-Plan: Proactive Language Agents for Real-World Planning EMNLP 2024

Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues EMNLP 2024

WatME: Towards Lossless Watermarking Through Lexical Redundancy ACL 2024

CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models ACL 2024

Self-chats from Large Language Models Make Small Emotional Support Chatbot Better ACL 2024

STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents ACL 2024

Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation ACL 2024

Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents ICLR 2024

On the Multi-turn Instruction Following for Conversational Web Agents ACL 2024

Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering EMNLP 2024

Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation EMNLP 2024

Product Question Answering in E-Commerce: A Survey ACL 2023

Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations ACL 2023

PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks ACL 2023

Blurred-Dilated Method for Adversarial Attacks NIPS 2023

Goal Awareness for Conversational AI: Proactivity, Non-collaborativity, and Beyond ACL 2023

Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization ACL 2023

Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators EMNLP 2023

Attack Prompt Generation for Red Teaming and Defending Large Language Models EMNLP 2023

DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text EMNLP 2023

Unifying Text, Tables, and Images for Multimodal Question Answering EMNLP 2023

Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues EMNLP 2023

Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration EMNLP 2023

Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs EMNLP 2023

A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects IJCAI 2023

ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction EMNLP 2022

Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions ICLR 2022

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance EMNLP 2022

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation EMNLP 2021

Aspect-based Sentiment Analysis in Question Answering Forums EMNLP 2021

Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation EMNLP 2021

Towards Generative Aspect-Based Sentiment Analysis ACL 2021

Aspect Sentiment Quad Prediction as Paraphrase Generation EMNLP 2021

Towards Generative Aspect-Based Sentiment Analysis IJCNLP 2021

Exploiting Reasoning Chains for Multi-hop Science Question Answering EMNLP 2021

Multi-hop Inference for Question-driven Summarization EMNLP 2020

Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering AAAI 2020

AnswerFact: Fact Checking in Product Question Answering EMNLP 2020

Intra-/Inter-Interaction Network with Latent Interaction Modeling for Multi-turn Response Selection COLING 2020

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering AAAI 2019

Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge COLING 2018