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Conferences
Anh Tuan Luu
68 papers at tracked venues · 45 at CORE A* · active 2024–2026
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ACL
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EMNLP
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NAACL
×9
AAAI
×8
NeurIPS
×7
ICLR
×2
ECCV
×1
ICML
×1
SIGMOD
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WWW
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Frequent coauthors
Xiaobao Wu
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Shuai Zhao
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Zhiyuan Hu
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Mingzhe Du
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Haoran Luo
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Thong Nguyen
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Thang Le
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×3
Huimin Xu
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Siyue Zhang
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Guizhen Chen
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Thong Thanh Nguyen
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Ponhvoan Srey
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×2
Papers
From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning
AAAI 2026
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Yichao Feng
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Learning Uncertainty from Sequential Internal Dispersion in Large Language Models
ACL 2026
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Ponhvoan Srey
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MUR: Momentum Uncertainty guided Reasoning for Large Language Models
ACL 2026
·
Hang Yan
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P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs
ACL 2026
·
Shuai Zhao
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Read as You See: Guiding Unimodal LLMs for Low-Resource Explainable Harmful Meme Detection
WWW 2026
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Fengjun Pan
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Rethinking Reasoning: A Survey on Reasoning-based Backdoors in LLMs
ACL 2026
·
Man Hu
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Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs
ACL 2026
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Zhiyuan Hu
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Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers
ACL 2026
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Viet-Anh Nguyen
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Towards Fast and Accurate Modeling for Cross-Lingual Label Projection
ACL 2026
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Thang Le
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Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization
ACL 2026
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Huimin Xu
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Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
NeurIPS 2025
·
Mingzhe Du
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AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge
ACL 2025
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Xiaobao Wu
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As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss
ICLR 2025
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Xin Mao
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Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines
ACL 2025
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Do Xuan Long
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ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations
ACL 2025
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Quang Hieu Pham
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CodeArena: A Collective Evaluation Platform for LLM Code Generation
ACL 2025
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Mingzhe Du
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Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective
EMNLP 2025
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Siyue Zhang
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Discrete Diffusion Language Model for Efficient Text Summarization
NAACL 2025
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Do Huu Dat
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EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code
NeurIPS 2025
·
Yuhao Qing
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Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation
NAACL 2025
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Cong-Duy T. Nguyen
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FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving
ACL 2025
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Guizhen Chen
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Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning
ACL 2025
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Huimin Xu
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GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning
EMNLP 2025
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Guizhen Chen
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HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation
NeurIPS 2025
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Haoran Luo
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Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models
NAACL 2025
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Chaoqun Liu
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KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search
ICML 2025
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Haoran Luo
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LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models
ACL 2025
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Zhiyuan Hu
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MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering
EMNLP 2025
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Siyue Zhang
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Massively Multilingual Instruction-Following Information Extraction
ACL 2025
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Thang Le
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Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation
AAAI 2025
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Thong Thanh Nguyen
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Multi-Scale Contrastive Learning for Video Temporal Grounding
AAAI 2025
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Thong Thanh Nguyen
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SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation
ACL 2025
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Huimin Xu
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SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia
NAACL 2025
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Chaoqun Liu
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Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation
ACL 2025
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Shuai Zhao
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Unsupervised Hallucination Detection by Inspecting Reasoning Processes
EMNLP 2025
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Ponhvoan Srey
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AKEW: Assessing Knowledge Editing in the Wild
EMNLP 2024
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Xiaobao Wu
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Are LLMs Good Zero-Shot Fallacy Classifiers?
EMNLP 2024
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Fengjun Pan
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ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models
ACL 2024
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Haoran Luo
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Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges
ACL 2024
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Bosheng Ding
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Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
NAACL 2024
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Shuai Zhao
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Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration
EMNLP 2024
·
Xin Mao
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Encoding and Controlling Global Semantics for Long-form Video Question Answering
EMNLP 2024
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Thong Nguyen
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Exploring the Potential of Large Language Models in Computational Argumentation
ACL 2024
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Guizhen Chen
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Extractive Summarization with Text Generator
NAACL 2024
·
Thang Le
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FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
NeurIPS 2024
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Xiaobao Wu
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From Static to Dynamic: Knowledge Metabolism for Large Language Models
AAAI 2024
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Mingzhe Du
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Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning
SIGMOD 2024
·
Anran Li
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KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning
NAACL 2024
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Cong-Duy Nguyen
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LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training
AAAI 2024
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Khoi M. Le
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Mercury: A Code Efficiency Benchmark for Code Large Language Models
NeurIPS 2024
·
Mingzhe Du
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Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
ECCV 2024
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Thong Nguyen
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Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion
ACL 2024
·
Xiaobao Wu
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Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models
EMNLP 2024
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Do Xuan Long
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On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling
AAAI 2024
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Xiaobao Wu
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PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation
AAAI 2024
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Zhiyuan Hu
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READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
AAAI 2024
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Thong Nguyen
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Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths
EMNLP 2024
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Yew Ken Chia
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SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks
NAACL 2024
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Brian Formento
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SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA
EMNLP 2024
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Siyue Zhang
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Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction
NeurIPS 2024
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Haoran Luo
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ToXCL: A Unified Framework for Toxic Speech Detection and Explanation
NAACL 2024
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Nhat M. Hoang
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Topic Modeling as Multi-Objective Contrastive Optimization
ICLR 2024
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Thong Thanh Nguyen
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Towards the TopMost: A Topic Modeling System Toolkit
ACL 2024
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Xiaobao Wu
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Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs
NeurIPS 2024
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Zhiyuan Hu
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UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages
ACL 2024
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Trinh Pham
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Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
EMNLP 2024
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Shuai Zhao
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Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives
ACL 2024
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Thong Nguyen
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Who's Who: Large Language Models Meet Knowledge Conflicts in Practice
EMNLP 2024
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Quang Pham
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