Anh Tuan Luu

91 papers · 2014–2026 · 12 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (6) 🏃 Academic Marathon (11) 🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏠 Conference Loyalist (25) 🏆 Keyword Champion (3) 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (17) 🧬 Topic Evolution 🤝 Dynamic Duo (30) 🚀 Conference Pioneer ⚡ Prolific Year (8) 🔥 Unstoppable (8) 🗃️ Keyword Collector (54) 💎 Century Club (90) 📈 Trend Setter ❓ The Questioner (5)

Conferences

ACL (25) EMNLP (24) AAAI (12) NIPS (9) NAACL (8) ICLR (5) ICML (3) COLING (1) ECCV (1) IJCAI (1) INTERSPEECH (1) JMLR (1)

Top co-authors

Xiaobao Wu (30) Yi Tay (15) Siu Cheung Hui (13) See-Kiong Ng (11) Xinshuai Dong (11) Thong Nguyen (11) Lidong Bing (9) Thong Thanh Nguyen (8) Chaoqun Liu (7) Zhiyuan Hu (7)

Research topics

Reinforcement Learning (1) Privacy (1)

Keywords

large language model (21) representation learning (11) contrastive learning (10) natural language processing (7) question answering (7) text generation (6) attention mechanism (6) language model (6) in-context learning (5) reinforcement learning (5) text classification (5) neural network (5) unsupervised learning (5) neural topic model (5) few-shot learning (4) topic modeling (4) self-supervised learning (4) zero-shot learning (4) mathematical reasoning (4) adversarial training (4)

Papers

From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning AAAI 2026

Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation ACL 2025

Massively Multilingual Instruction-Following Information Extraction ACL 2025

Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines ACL 2025

Discrete Diffusion Language Model for Efficient Text Summarization NAACL 2025

As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss ICLR 2025

GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning EMNLP 2025

MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering EMNLP 2025

Unsupervised Hallucination Detection by Inspecting Reasoning Processes EMNLP 2025

SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia NAACL 2025

CodeArena: A Collective Evaluation Platform for LLM Code Generation ACL 2025

FineReason: Evaluating and Improving LLMs’ Deliberate Reasoning through Reflective Puzzle Solving ACL 2025

LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models ACL 2025

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge ACL 2025

Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models NAACL 2025

Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation NAACL 2025

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search ICML 2025

Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation AAAI 2025

Multi-Scale Contrastive Learning for Video Temporal Grounding AAAI 2025

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective EMNLP 2025

Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels COLING 2025

SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation ACL 2025

ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations ACL 2025

Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning ACL 2025

Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives ACL 2024

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs NIPS 2024

FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model NIPS 2024

PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation AAAI 2024

LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training AAAI 2024

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling AAAI 2024

On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling AAAI 2024

From Static to Dynamic: Knowledge Metabolism for Large Language Models AAAI 2024

Exploring the Potential of Large Language Models in Computational Argumentation ACL 2024

UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages ACL 2024

Towards the TopMost: A Topic Modeling System Toolkit ACL 2024

Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges ACL 2024

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models ACL 2024

Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion ACL 2024

Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning ECCV 2024

Encoding and Controlling Global Semantics for Long-form Video Question Answering EMNLP 2024

Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024

Are LLMs Good Zero-Shot Fallacy Classifiers? EMNLP 2024

AKEW: Assessing Knowledge Editing in the Wild EMNLP 2024

Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration EMNLP 2024

Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models EMNLP 2024

SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA EMNLP 2024

Who’s Who: Large Language Models Meet Knowledge Conflicts in Practice EMNLP 2024

Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths EMNLP 2024

Topic Modeling as Multi-Objective Contrastive Optimization ICLR 2024

Extractive Summarization with Text Generator NAACL 2024

KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning NAACL 2024

SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks NAACL 2024

Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning NAACL 2024

Fact-Checking Complex Claims with Program-Guided Reasoning ACL 2023

Effective Neural Topic Modeling with Embedding Clustering Regularization ICML 2023

Benchmarking Graph Neural Networks JMLR 2023

InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling AAAI 2023

Zero-Shot Text Classification via Self-Supervised Tuning ACL 2023

Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction ACL 2023

Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation ACL 2023

Long Range Graph Benchmark NIPS 2022

Audio-Visual Domain Adaptation Feature Fusion for Speech Emotion Recognition INTERSPEECH 2022

Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning EMNLP 2022

Textual Manifold-based Defense Against Natural Language Adversarial Examples EMNLP 2022

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction EMNLP 2022

Is Discourse Role Important for Emotion Recognition in Conversation? AAAI 2022

Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation AAAI 2022

Graph Neural Networks with Learnable Structural and Positional Representations ICLR 2022

Certified Robustness Against Natural Language Attacks by Causal Intervention ICML 2022

Recipe for a General, Powerful, Scalable Graph Transformer NIPS 2022

Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters ICLR 2021

Enriching and Controlling Global Semantics for Text Summarization EMNLP 2021

Contrastive Learning for Neural Topic Model NIPS 2021

How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? NIPS 2021

Towards Robustness Against Natural Language Word Substitutions ICLR 2021

Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences ACL 2020

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives ACL 2019

Holographic Factorization Machines for Recommendation AAAI 2019

Compositional De-Attention Networks NIPS 2019

Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks ACL 2019

Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification EMNLP 2018

Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains IJCAI 2018

Densely Connected Attention Propagation for Reading Comprehension NIPS 2018

Reasoning with Sarcasm by Reading In-Between ACL 2018

Recurrently Controlled Recurrent Networks NIPS 2018

Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference EMNLP 2018

Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension EMNLP 2018

Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences EMNLP 2018

Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network EMNLP 2016

Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction EMNLP 2015

Taxonomy Construction Using Syntactic Contextual Evidence EMNLP 2014