Anh Tuan Luu
Orcid: 0000-0001-6062-207X
According to our database1,
Anh Tuan Luu
authored at least 154 papers
between 2007 and 2024.
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Bibliography
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
Artif. Intell. Rev., February, 2024
MuJo-SF: Multimodal Joint Slot Filling for Attribute Value Prediction of E-Commerce Commodities.
IEEE Trans. Multim., 2024
IEEE ACM Trans. Audio Speech Lang. Process., 2024
Proc. ACM Manag. Data, 2024
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
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
CoRR, 2024
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
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
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
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
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
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
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
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
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
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
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
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
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
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.
CoRR, 2023
CoRR, 2023
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals.
CoRR, 2023
CoRR, 2023
Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulator to Enhance Dialogue System.
CoRR, 2023
Proceedings of the Rules and Reasoning - 7th International Joint Conference, 2023
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
Proceedings of the International Conference on Machine Learning, 2023
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
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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
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
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
CoRR, 2022
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions.
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Proceedings of the International Conference on Machine Learning, 2022
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
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
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
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
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
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
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
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
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
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Expert Syst. J. Knowl. Eng., 2018
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction.
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
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
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
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
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
CoRR, 2017
CoRR, 2017
CoRR, 2017
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Proceedings of the Natural Language Processing and Information Systems, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
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
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
Database J. Biol. Databases Curation, 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
2012
Frontiers Comput. Sci. China, 2012
Proceedings of the 2012 International Conference on Asian Language Processing, 2012
Proceedings of the ACM International Conference on Bioinformatics, 2012
2010
Proceedings of the Fourth International Conference on Secure Software Integration and Reliability Improvement, 2010
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