Kam-Fai Wong
Professor
Works on Chinese language processing, information retrieval and databases.
Kam-Fai Wong's lab at CUHK works on knowledge, QA & retrieval and recommendation, search & web. 90 papers since 2023, 54 at top venues, mostly ACL and EMNLP. Applications close .
At a glance
- papers, 2023–2026
- 23/ year
- at T1 venues
- 60%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 13 papers2026 · T1 10 · collecting
- 33 papers2025 · T1 23
- 24 papers2024 · T1 13
- 20 papers2023 · T1 8
T1 venuesOtherVenues: ACL, EMNLP, Findings of ACL, Findings of EMNLP, NAACL
Research focuspaper titles that use each topic's words
- Knowledge, QA & retrieval21 papers
- Recommendation, search & web5 papers
- chinese1 paper
- engineering management0 papers
- systems engineering0 papers
Paper list
From DBLP.
202613 papers
- Trans. Assoc. Comput. LinguisticsBridging Auxiliary Constraints to Resolve Instruction Following in Large Reasoning Models (opens in a new tab)
- DASFAADynamic Soft Contrastive Learning for Spatio-Temporal Forecasting (opens in a new tab)
- ICLR (T1)EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget (opens in a new tab)
- TKDE (T1)Enhancing Event Causality Extraction With Mention-Level Causal Evidence and Global Causal Graph Reasoning (opens in a new tab)
- ACL (T1)EventWeave: A Dynamic Framework for Capturing Core and Supporting Events in Dialogue Systems (opens in a new tab)
- ACL (T1)Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation (opens in a new tab)
- AAAI (T1)MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents (opens in a new tab)
- ICLR (T1)Memory-T1: Reinforcement Learning for Temporal Reasoning in Multi-session Agents (opens in a new tab)
- ACL (T1)Mitigating Context Interference for Reliable and Efficient Search Agents (opens in a new tab)
- NeurocomputingRetrieving on a topic graph for long document question answering (opens in a new tab)
- ACL (T1)Robust Tool Use via Fission-GRPO: Learning to Recover from Execution Errors (opens in a new tab)
- ACL (T1)Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks (opens in a new tab)
202533 papers
- AAAI (T1)A Comprehensive Evaluation on Event Reasoning of Large Language Models (opens in a new tab)
- AAAI (T1)A New Formula for Sticker Retrieval: Reply with Stickers in Multi-Modal and Multi-Session Conversation (opens in a new tab)
- ICLR (T1)Centrality-guided Pre-training for Graph (opens in a new tab)
- Findings of NAACLChain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step (opens in a new tab)
- AAAI (T1)CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility (opens in a new tab)
- Findings of ACLCOPR: Continual Human Preference Learning via Optimal Policy Regularization (opens in a new tab)
- ICONIPCounterspeech for Mitigating the Influence of Media Bias: Comparing Human and LLM-Generated Responses (opens in a new tab)
- ACM Trans. Asian Low Resour. Lang. Inf. Process.Data-Augmented and Retrieval-Augmented Context Enrichment in Chinese Media Bias Detection (opens in a new tab)
- IJCAI (T1)Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models (opens in a new tab)
- EMNLP (T1)Flexibly Utilize Memory for Long-Term Conversation via a Fragment-then-Compose Framework (opens in a new tab)
- ICPADSIndiTag: An Online Media Bias Analysis System Using Fine-Grained Bias Indicators (opens in a new tab)
- IJCAI (T1)Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection (opens in a new tab)
202424 papers
- TKDE (T1)Acquiring New Knowledge Without Losing Old Ones for Effective Continual Dialogue Policy Learning (opens in a new tab)
- EMNLP (T1)AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction (opens in a new tab)
- Findings of ACLDPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models (opens in a new tab)
- SIGIR (T1)Empowering Large Language Models: Tool Learning for Real-World Interaction (opens in a new tab)
- NAACL (T1)Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting (opens in a new tab)
- TKDE (T1)Improving Conversational Recommender System Via Contextual and Time-Aware Modeling With Less Domain-Specific Knowledge (opens in a new tab)
- Findings of EACLIndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators (opens in a new tab)
- LREC/COLINGJoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning (opens in a new tab)
- Comput. Speech Lang.KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System (opens in a new tab)
- EMNLP (T1)LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement (opens in a new tab)
- ICASSP (T1)M3sum: A Novel Unsupervised Language-Guided Video Summarization (opens in a new tab)
- ACL (T1)M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models (opens in a new tab)
202320 papers
- Int. J. Autom. Comput.A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning (opens in a new tab)
- EMNLP (T1)A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection (opens in a new tab)
- Findings of EMNLPAn Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations (opens in a new tab)
- EMNLP (T1)Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators (opens in a new tab)
- ACL (T1)CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation (opens in a new tab)
- Findings of EMNLPCue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs (opens in a new tab)
- SIGDIALDialog Action-Aware Transformer for Dialog Policy Learning (opens in a new tab)
- Findings of EMNLPImproving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment (opens in a new tab)
- TKDE (T1)Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning (opens in a new tab)
- Findings of EMNLPIn-context Learning for Few-shot Multimodal Named Entity Recognition (opens in a new tab)
- ACL (T1)KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment (opens in a new tab)
- Findings of EMNLPLarge Language Models as Source Planner for Personalized Knowledge-grounded Dialogues (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CUHKFall 2027
Computer Science and Engineering MPhil/PhD
- Round
- HKPFS / main round
- Opens
- —
- GRE
- See program page
- English
- Interview in English
- Fee
- See program page
Not yet confirmed for this intake.
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