Anh Tuan Luu
Associate Professor
Works on natural language processing and deep learning, including language understanding and reasoning with large language models.
Anh Tuan Luu's lab at NTU works on large language models, reasoning & agents and data management & big data. 124 papers since 2023, 5 at top venues, mostly Expert Systems with Applications and Computational Linguistics. 17 PhD students. 9 alumni, most often to AI Data Scientist at SAP and Huawei.
At a glance
- papers, 2023–2026
- 32/ year
- at T1 venues
- 4%
- PhD students
- 17
- MS students
- 0
- alumni listed
- 9
Papers by yearfrom the lab homepage, 2023–2026
- 31 papers2026 · T1 1 · collecting
- 29 papers2025 · T1 2
- 41 papers2024 · T1 1
- 23 papers2023 · T1 1
T1 venuesOtherVenues: Expert Systems with Applications, Computational Linguistics, JMLR, Neurocomputing, Pattern Recognition
Research focuspaper titles that use each topic's words
- Large language models54 papers
- language32 papers
- Reasoning & agents18 papers
- Data management & big data3 papers
- language understanding1 paper
Paper list
From the lab homepage.
202631 papers
- TPAMI (T1)A Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications
- Conference on Empirical Methods in Natural Language Processing (EMNLP)Don't Read Everything: A Curvature-Conditioned Query for Linear Attention
- Proceedings of the ACM International Conference on Multimedia (ACM MM)Eulerian Motion Guidance: Robust Image Animation via Bidirectional Geometric Consistency
- Pattern RecognitionExploring Backdoor Attack and Defense Algorithms in LLMs: Enhancing Incontext Learning Security
- Conference on Empirical Methods in Natural Language Processing (EMNLP)Fast and Focused: Interactive Repository-Level Fill-in-the-Middle Code Completion with Hybrid Structural Retrieval
- AAAI Conference on Artificial Intelligence (AAAI)From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning
- Conference on Empirical Methods in Natural Language Processing (EMNLP)GRACE: Step-Level Benchmark for Faithful Reasoning over Context
- Proceedings of the International Conference on Machine Learning (ICML)Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning
- The Conference on Neural Information Processing Systems (NeurIPS)HyperSkill: Training-Free Omnimodal GRPO via Hypergraph-Indexed Skill-Library Evolution
- Annual Meeting of the Association for Computational Linguistics (ACL)Learning Uncertainty from Sequential Internal Dispersion in Large Language Models
- The Conference on Neural Information Processing Systems (NeurIPS)MMGraph-Agent: Agentic Multimodal RAG via Cache-Inspired Multimodal Knowledge HyperGraphs
- International Conference on Learning Representations (ICLR)MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval
202529 papers
- TMLR (T1)A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
- TAFFCAffective-Roptester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity
- The Conference on Neural Information Processing Systems (NeurIPS)Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
- Annual Meeting of the Association for Computational Linguistics (ACL)AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge
- International Conference on Learning Representations (ICLR)As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss
- Annual Meeting of the Association for Computational Linguistics (ACL)Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines
- Annual Meeting of the Association for Computational Linguistics (ACL)ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations
- Conference on Empirical Methods in Natural Language Processing (EMNLP)Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective
- North American Chapter of the Association for Computational Linguistics (NAACL)Discrete Diffusion Language Model for Efficient Text Summarization
- The Conference on Neural Information Processing Systems (NeurIPS)EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code
- North American Chapter of the Association for Computational Linguistics (NAACL)Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation
- Annual Meeting of the Association for Computational Linguistics (ACL)FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving
202441 papers
- Artificial Intelligence ReviewA Survey on Neural Topic Models: Methods, Applications, and Challenges
- Conference on Empirical Methods in Natural Language Processing (EMNLP)AKEW: Assessing Knowledge Editing in the Wild
- Conference on Empirical Methods in Natural Language Processing (EMNLP)Are LLMs Good Zero-Shot Fallacy Classifiers?
- ACM/SIGAPP Symposium On Applied Computing conference (SAC)ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions
- Annual Meeting of the Association for Computational Linguistics (ACL)ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models
- Expert Systems with ApplicationsClean-label Backdoor Attack and Defense: An Examination of Language Model Vulnerability
- Annual Meeting of the Association for Computational Linguistics (ACL)Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges
- North American Chapter of the Association for Computational Linguistics (NAACL)Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
- Conference on Empirical Methods in Natural Language Processing (EMNLP)Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration
- Conference on Empirical Methods in Natural Language Processing (EMNLP)Encoding and Controlling Global Semantics for Long-form Video Question Answering
- TASLP (T1)Exploring Clean Label Backdoor Attacks and Defense in Language Models
- Annual Meeting of the Association for Computational Linguistics (ACL)Exploring the Potential of Large Language Models in Computational Argumentation
202323 papers
- Artificial Intelligence ReviewA brief survey on recent advances in coreference resolution
- NeurocomputingA Contrastive Learning Framework for Event Detection via Semantic Type Prototype Representation Modeling
- Cognitive ComputationA Novel, Cognitively Inspired, Unified Graph-based Multi-Task Framework for Information Extraction
- Conference on Empirical Methods in Natural Language Processing (EMNLP)A Parallel Corpus for Vietnamese Central-Northern Dialect Text Transfer
- Conference on Empirical Methods in Natural Language Processing (EMNLP)A Spectral Viewpoint on Continual Relation Extraction
- JMLR (T1)Benchmarking Graph Neural Networks
- Conference on Empirical Methods in Natural Language Processing (EMNLP)DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding
- Proceedings of the International Conference on Machine Learning (ICML)Effective Neural Topic Modeling with Embedding Clustering Regularization
- IEEE Transactions on Mobile ComputingEfficient and Privacy-Preserving Feature Importance-based Vertical Federated Learning
- Proceedings of the ACM International Conference on Multimedia (ACM MM)Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment
- Conference on Empirical Methods in Natural Language Processing (EMNLP)Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction
- Annual Meeting of the Association for Computational Linguistics (ACL)Fact-Checking Complex Claims with Program-Guided Reasoning
Where alumni went9 listed, 56% to industry
Industry 5Academia 4
Most often to
- AI Data Scientist at SAP
- Huawei
Also to
- Carnegie Mellon University
- MIT
- Shanghai Jiao Tong University
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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