Anh Tuan Luu

Orcid: 0000-0001-6062-207X

According to our database1, Anh Tuan Luu authored at least 159 papers between 2007 and 2024.

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Bibliography

2024
Joint Client-and-Sample Selection for Federated Learning via Bi-Level Optimization.
IEEE Trans. Mob. Comput., December, 2024

Incorporating Template-Based Contrastive Learning into Cognitively Inspired, Low-Resource Relation Extraction.
Cogn. Comput., November, 2024

Efficient and Privacy-Preserving Feature Importance-Based Vertical Federated Learning.
IEEE Trans. Mob. Comput., June, 2024

Learning facial expression and body gesture visual information for video emotion recognition.
Expert Syst. Appl., March, 2024

A survey on neural topic models: methods, applications, and challenges.
Artif. Intell. Rev., February, 2024

MuJo-SF: Multimodal Joint Slot Filling for Attribute Value Prediction of E-Commerce Commodities.
IEEE Trans. Multim., 2024

Exploring Clean Label Backdoor Attacks and Defense in Language Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning.
Proc. ACM Manag. Data, 2024

Who's Who: Large Language Models Meet Knowledge Conflicts in Practice.
CoRR, 2024

A Comprehensive Survey of Datasets, Theories, Variants, and Applications in Direct Preference Optimization.
CoRR, 2024

Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation.
CoRR, 2024

As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss.
CoRR, 2024

Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels.
CoRR, 2024

SoVAR: Building Generalizable Scenarios from Accident Reports for Autonomous Driving Testing.
CoRR, 2024

LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models.
CoRR, 2024

Discrete Diffusion Language Model for Long Text Summarization.
CoRR, 2024

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

A Survey of Backdoor Attacks and Defenses on Large Language Models: Implications for Security Measures.
CoRR, 2024

Encoding and Controlling Global Semantics for Long-form Video Question Answering.
CoRR, 2024

FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm.
CoRR, 2024

Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models.
CoRR, 2024

Updating Language Models with Unstructured Facts: Towards Practical Knowledge Editing.
CoRR, 2024

Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration.
CoRR, 2024

Mercury: An Efficiency Benchmark for LLM Code Synthesis.
CoRR, 2024

Topic Modeling as Multi-Objective Contrastive Optimization.
CoRR, 2024

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models.
CoRR, 2024

Universal Vulnerabilities in Large Language Models: In-context Learning Backdoor Attacks.
CoRR, 2024

ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Extractive Summarization with Text Generator.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ToXCL: A Unified Framework for Toxic Speech Detection and Explanation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Topic Modeling as Multi-Objective Contrastive Optimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

AKEW: Assessing Knowledge Editing in the Wild.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Who's Who: Large Language Models Meet Knowledge Conflicts in Practice.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Are LLMs Good Zero-Shot Fallacy Classifiers?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Encoding and Controlling Global Semantics for Long-form Video Question Answering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Exploring the Potential of Large Language Models in Computational Argumentation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

From Static to Dynamic: Knowledge Metabolism for Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A brief survey on recent advances in coreference resolution.
Artif. Intell. Rev., December, 2023

A contrastive learning framework for Event Detection via semantic type prototype representation modelling.
Neurocomputing, November, 2023

A Novel, Cognitively Inspired, Unified Graph-based Multi-Task Framework for Information Extraction.
Cogn. Comput., November, 2023

Benchmarking Graph Neural Networks.
J. Mach. Learn. Res., 2023

Graph Transformers for Large Graphs.
CoRR, 2023

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.
CoRR, 2023

Contrastive Chain-of-Thought Prompting.
CoRR, 2023

From Static to Dynamic: A Continual Learning Framework for Large Language Models.
CoRR, 2023

Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals.
CoRR, 2023

Towards the TopMost: A Topic Modeling System Toolkit.
CoRR, 2023

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.
CoRR, 2023

Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulator to Enhance Dialogue System.
CoRR, 2023

Effective Neural Topic Modeling with Embedding Clustering Regularization.
CoRR, 2023

Towards Interpretable Federated Learning.
CoRR, 2023

Knowledge Bases and Language Models: Complementing Forces.
Proceedings of the Rules and Reasoning - 7th International Joint Conference, 2023

A General Framework for Blockchain Data Analysis.
Proceedings of the Research Challenges in Information Science: Information Science and the Connected World, 2023

Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Effective Neural Topic Modeling with Embedding Clustering Regularization.
Proceedings of the International Conference on Machine Learning, 2023

Multi-Scale Receptive Field Graph Model for Emotion Recognition in Conversations.
Proceedings of the IEEE International Conference on Acoustics, 2023

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Multimodal Sentiment Analysis: Supervised Angular margin-based Contrastive Learning for Enhanced Fusion Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Spectral Viewpoint on Continual Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Rethinking Negative Pairs in Code Search.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Parallel Corpus for Vietnamese Central-Northern Dialect Text Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems: An Empirical Study.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Fact-Checking Complex Claims with Program-Guided Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Zero-Shot Text Classification via Self-Supervised Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
How to train your draGAN: A task oriented solution to imbalanced classification.
CoRR, 2022

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions.
CoRR, 2022

Textual Manifold-based Defense Against Natural Language Adversarial Examples.
CoRR, 2022

Vision-and-Language Pretraining.
CoRR, 2022

Recipe for a General, Powerful, Scalable Graph Transformer.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Long Range Graph Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Audio-Visual Domain Adaptation Feature Fusion for Speech Emotion Recognition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Certified Robustness Against Natural Language Attacks by Causal Intervention.
Proceedings of the International Conference on Machine Learning, 2022

Graph Neural Networks with Learnable Structural and Positional Representations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Textual Manifold-based Defense Against Natural Language Adversarial Examples.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Is Discourse Role Important for Emotion Recognition in Conversation?
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation.
CoRR, 2021

Contrastive Learning for Neural Topic Model.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters.
Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Robustness Against Natural Language Word Substitutions.
Proceedings of the 9th International Conference on Learning Representations, 2021

Enriching and Controlling Global Semantics for Text Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Holistic Multi-Modal Memory Network for Movie Question Answering.
IEEE Trans. Image Process., 2020

Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Capturing Greater Context for Question Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Compositional De-Attention Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Holographic Factorization Machines for Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Syntactic based approach for grammar question retrieval.
Inf. Process. Manag., 2018

Personalized question recommendation for English grammar learning.
Expert Syst. J. Knowl. Eng., 2018

Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction.
CoRR, 2018

Multi-range Reasoning for Machine Comprehension.
CoRR, 2018

A Compare-Propagate Architecture with Alignment Factorization for Natural Language Inference.
CoRR, 2018

Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Densely Connected Attention Propagation for Reading Comprehension.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Recurrently Controlled Recurrent Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multi-Cast Attention Networks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-Pointer Co-Attention Networks for Recommendation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

CoupleNet: Paying Attention to Couples with Coupled Attention for Relationship Recommendation.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Reasoning with Sarcasm by Reading In-Between.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Cross Temporal Recurrent Networks for Ranking Question Answer Pairs.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Automatic taxonomy construction from textual documents
PhD thesis, 2017

Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text.
CoRR, 2017

Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture.
CoRR, 2017

Enabling Efficient Question Answer Retrieval via Hyperbolic Neural Networks.
CoRR, 2017

Translational Recommender Networks.
CoRR, 2017

Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

A Syntactic Parse-Key Tree-Based Approach for English Grammar Question Retrieval.
Proceedings of the Natural Language Processing and Information Systems, 2017

Multi-Task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Dyadic Memory Networks for Aspect-based Sentiment Analysis.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Utilizing Temporal Information for Taxonomy Construction.
Trans. Assoc. Comput. Linguistics, 2016

Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Overview of the gene ontology task at BioCreative IV.
Database J. Biol. Databases Curation, 2014

Taxonomy Construction Using Syntactic Contextual Evidence.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2012
Automatic Suggestion for PubMed Query Reformulation.
J. Comput. Sci. Eng., 2012

SeVe: automatic tool for verification of security protocols.
Frontiers Comput. Sci. China, 2012

A Pointwise Approach for Vietnamese Diacritics Restoration.
Proceedings of the 2012 International Conference on Asian Language Processing, 2012

Hybrid pattern matching for complex ontology term recognition.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2010
Modeling and Verification of Safety Critical Systems: A Case Study on Pacemaker.
Proceedings of the Fourth International Conference on Secure Software Integration and Reliability Improvement, 2010

Modeling and Verifying Security Protocols Using PAT Approach.
Proceedings of the Fourth International Conference on Secure Software Integration and Reliability Improvement, 2010

2007
Axiom-oriented Reasoning to Deal with Inconsistency Between Ontology and Knowledge Base.
Proceedings of the Third ISWC Workshop on Uncertainty Reasoning for the Semantic Web Busan, 2007


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