conftrace_

Anh Tuan Luu

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

Achievements

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+17 more ↓ πŸ—ΊοΈ Taxonomy Completionist (23) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🐣 Hot Topic Early Bird
🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🏠 Conference Loyalist (25) πŸ† Keyword Champion (3) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (17) 🧬 Topic Evolution 🀝 Dynamic Duo (30) πŸš€ Conference Pioneer ⚑ Prolific Year (8) πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (54) πŸ’Ž Century Club (90) πŸ“ˆ Trend Setter ❓ The Questioner (5)

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)

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 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 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 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 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