Tat-Seng Chua
Professor
Works on multimodal foundation models, conversational search and recommendation, and trust and safety of AI; co-directs the NExT search centre.
Tat-Seng Chua's lab at NUS works on large language models, interpretability, evaluation & safety of LMs and recommendation, search & web. 319 papers since 2023, 215 at top venues, mostly ICLR and ACM MM. 37 alumni. Applications close .
At a glance
- papers, 2023–2026
- 83/ year
- at T1 venues
- 67%
- PhD students
- —
- MS students
- —
- alumni listed
- 37
Papers by yearfrom DBLP, 2023–2026
- 50 papers2026 · T1 39 · collecting
- 104 papers2025 · T1 78
- 94 papers2024 · T1 55
- 71 papers2023 · T1 43
T1 venuesOtherVenues: ICLR, ACM MM, ACL, SIGIR, NeurIPS
Research focuspaper titles that use each topic's words
- Large language models115 papers
- Recommendation, search & web53 papers
- Interpretability, evaluation & safety of LMs6 papers
- search6 papers
- multimodal foundation1 paper
Paper list
From DBLP.
202650 papers
- NeurocomputingAddressing graph heterogeneity and heterophily from a spectral perspective (opens in a new tab)
- TPAMI (T1)ADVersa: Abductive Driving Accident Video Understanding (opens in a new tab)
- ICLR (T1)AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint (opens in a new tab)
- IJCV (T1)An Extensive Benchmark for Single-Round and Multi-Round Instruction-Based Image Editing (opens in a new tab)
- CVPR (T1)AnchorFlow: Training-Free 3D Editing via Latent Anchor-Aligned Flows (opens in a new tab)
- ICLR (T1)AUHead: Realistic Emotional Talking Head Generation via Action Units Control (opens in a new tab)
- WWW (T1)Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking (opens in a new tab)
- KDD (T1)Can Large Language Models Derive New Knowledge? A Dynamic Benchmark for Biological Knowledge Discovery (opens in a new tab)
- ACM Trans. Inf. Syst.Co-Matching: Towards Human-Model Collaborative Legal Case Matching (opens in a new tab)
- ICMRCompArt: Operationalizing Aesthetic Alignment in Text-to-Image Generation via Principles of Art (opens in a new tab)
- TPAMI (T1)Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and Grounder (opens in a new tab)
- KDD (T1)DeepTaxon: An Interpretable Retrieval-Augmented Multimodal Framework for Unified Species Identification and Discovery (opens in a new tab)
2025104 papers
- Findings of NAACLA Federated Framework for LLM-based Recommendation (opens in a new tab)
- EMNLP (T1)AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender (opens in a new tab)
- AAAI (T1)Aligning Large Language Models for Faithful Integrity Against Opposing Argument (opens in a new tab)
- ICLR (T1)AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models (opens in a new tab)
- ICML (T1)AnyEdit: Edit Any Knowledge Encoded in Language Models (opens in a new tab)
- AAAI (T1)Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning (opens in a new tab)
- ICCV (T1)Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program (opens in a new tab)
- ACL (T1)Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs (opens in a new tab)
- ICML (T1)Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark (opens in a new tab)
- ICLR (T1)Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation (opens in a new tab)
- ICCV (T1)Causal-Entity Reflected Egocentric Traffic Accident Video Synthesis (opens in a new tab)
- ICRA (T1)Coarse-to-Fine Cross-Modality Generation for Enhancing Vehicle Re-Identification with High-Fidelity Synthetic Data (opens in a new tab)
202494 papers
- ACM MMA Picture Is Worth a Graph: A Blueprint Debate Paradigm for Multimodal Reasoning (opens in a new tab)
- Findings of EMNLPA Study of Implicit Ranking Unfairness in Large Language Models (opens in a new tab)
- IJCAI (T1)A Survey on Neural Question Generation: Methods, Applications, and Prospects (opens in a new tab)
- KDD (T1)A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models (opens in a new tab)
- SIGIR (T1)A Taxation Perspective for Fair Re-ranking (opens in a new tab)
- CVPR (T1)Abductive Ego-View Accident Video Understanding for Safe Driving Perception (opens in a new tab)
- KSEMAdversary and Attention Guided Knowledge Graph Reasoning Based on Reinforcement Learning (opens in a new tab)
- NeurIPS (T1)ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation (opens in a new tab)
- ACL (T1)Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding (opens in a new tab)
- Findings of EMNLPAsk-before-Plan: Proactive Language Agents for Real-World Planning (opens in a new tab)
- ICML (T1)Auto-Encoding Morph-Tokens for Multimodal LLM (opens in a new tab)
- IEEE Trans. Intell. Transp. Syst.Behavioral Intention Prediction in Driving Scenes: A Survey (opens in a new tab)
202371 papers
- Findings of EMNLPA Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction (opens in a new tab)
- WWW (T1)A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking (opens in a new tab)
- IJCAI (T1)A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects (opens in a new tab)
- ACM Trans. Inf. Syst.A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems (opens in a new tab)
- SIGWEB Newsl.ACM WSDM 2023 Report (opens in a new tab)
- CVPR (T1)Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-based Active Learning (opens in a new tab)
- EMNLP (T1)Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators (opens in a new tab)
- ICLR (T1)Boosting Causal Discovery via Adaptive Sample Reweighting (opens in a new tab)
- TKDE (T1)Causal Inference for Knowledge Graph Based Recommendation (opens in a new tab)
- Findings of ACLConstructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction (opens in a new tab)
- ACM MMConstructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling (opens in a new tab)
- KDD (T1)Context-aware Event Forecasting via Graph Disentanglement (opens in a new tab)
Where alumni went37 listed
Apply to NUSFall 2027
School of Computing PhD in Computer Science
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- Main
- Opens
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- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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