Anh Tuan Luu
94 papers · 2014–2026 · 12 conferences · across top CS/AI conferences
Achievements
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(25)
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(90)
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The Questioner
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Conferences
ACL (28)
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
Research topics
Keywords
large language model
(23)
representation learning
(11)
contrastive learning
(10)
natural language processing
(7)
question answering
(7)
text generation
(6)
language model
(6)
attention mechanism
(6)
reinforcement learning
(5)
in-context learning
(5)
text classification
(5)
neural network
(5)
unsupervised learning
(5)
neural topic model
(5)
few-shot learning
(4)
self-supervised learning
(4)
mathematical reasoning
(4)
zero-shot learning
(4)
topic modeling
(4)
adversarial training
(4)
Papers
MUR: Momentum Uncertainty guided Reasoning for Large Language Models
ACL 2026
From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning
AAAI 2026
Learning Uncertainty from Sequential Internal Dispersion in Large Language Models
ACL 2026
Towards Fast and Accurate Modeling for Cross-Lingual Label Projection
ACL 2026
As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss
ICLR 2025
FineReason: Evaluating and Improving LLMsβ 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
CodeArena: A Collective Evaluation Platform for LLM Code Generation
ACL 2025
Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines
ACL 2025
Massively Multilingual Instruction-Following Information Extraction
ACL 2025
Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation
ACL 2025
Discrete Diffusion Language Model for Efficient Text Summarization
NAACL 2025
SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia
NAACL 2025
Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation
AAAI 2025
Multi-Scale Contrastive Learning for Video Temporal Grounding
AAAI 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
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
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
Extractive Summarization with Text Generator
NAACL 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
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives
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
Donβt 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
Whoβs 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
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
Benchmarking Graph Neural Networks
JMLR 2023
Effective Neural Topic Modeling with Embedding Clustering Regularization
ICML 2023
Fact-Checking Complex Claims with Program-Guided Reasoning
ACL 2023
Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation
ACL 2023
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling
AAAI 2023
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction
ACL 2023
Zero-Shot Text Classification via Self-Supervised Tuning
ACL 2023
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning
EMNLP 2022
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction
EMNLP 2022
Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation
AAAI 2022
Long Range Graph Benchmark
NIPS 2022
Recipe for a General, Powerful, Scalable Graph Transformer
NIPS 2022
Graph Neural Networks with Learnable Structural and Positional Representations
ICLR 2022
Certified Robustness Against Natural Language Attacks by Causal Intervention
ICML 2022
Is Discourse Role Important for Emotion Recognition in Conversation?
AAAI 2022
Audio-Visual Domain Adaptation Feature Fusion for Speech Emotion Recognition
INTERSPEECH 2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples
EMNLP 2022
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
NIPS 2021
Enriching and Controlling Global Semantics for Text Summarization
EMNLP 2021
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters
ICLR 2021
Towards Robustness Against Natural Language Word Substitutions
ICLR 2021
Contrastive Learning for Neural Topic Model
NIPS 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
Recurrently Controlled Recurrent Networks
NIPS 2018
Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification
EMNLP 2018
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences
EMNLP 2018
Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains
IJCAI 2018
Densely Connected Attention Propagation for Reading Comprehension
NIPS 2018
Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension
EMNLP 2018
Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference
EMNLP 2018
Reasoning with Sarcasm by Reading In-Between
ACL 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