Thai Le - RankMe

103 papers A* 16A 6B 1Misc 2Journal 53Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ATLAS: Adaptive Test-Time Latent Steering with External Verifiers for Enhancing LLMs Reasoning. CoRR Tuc Nguyen, Thai Le
2026	J	`jnl`	Analyzing Reasoning Shifts in Audio Deepfake Detection under Adversarial Attacks: The Reasoning Tax versus Shield Bifurcation. CoRR Binh Nguyen, Thai Le
2026	J	`jnl`	Interpretable Failure Analysis in Multi-Agent Reinforcement Learning Systems. CoRR Risal Shahriar Shefin, Debashis Gupta, Thai Le, Sarra M. Alqahtani
2026	A*	`conf`	Style-First Authorship Verification for Academic Integrity in the Generative AI Era (Student Abstract). AAAI Jun Jang, Thai Le, Bo Wang
2026	J	`jnl`	URAG: A Benchmark for Uncertainty Quantification in Retrieval-Augmented Large Language Models. CoRR Vinh Nguyen, Cuong Dang, Jiahao Zhang, Hoa Tran, Minh Tran, Trinh Chau, Thai Le, Lu Cheng, Suhang Wang
2025	J	`jnl`	CAIN: Hijacking LLM-Humans Conversations via a Two-Stage Malicious System Prompt Generation and Refining Framework. CoRR Viet Pham, Thai Le
2025	J	`jnl`	Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models via Automated Adversarial Prompting. CoRR Bang Trinh Tran To, Thai Le
2025	—	`conf`	Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models. EMNLP (Findings) Bang Trinh Tran To, Thai Le
2025	J	`jnl`	Manipulating LLM Web Agents with Indirect Prompt Injection Attack via HTML Accessibility Tree. CoRR Sam Johnson, Viet Pham, Thai Le
2025	A*	`conf`	NOMATTERXAI: Generating "No Matter What" Alterfactual Examples for Explaining Black-Box Text Classification Models. AAAI Tuc Van Nguyen, James Michels, Hua Shen, Thai Le
2025	J	`jnl`	Natural Language Processing Methods for the Study of Protein-Ligand Interactions. J. Chem. Inf. Model. James Michels, Ramya Bandarupalli, Amin Ahangar Akbari, Thai Le, Hong Xiao, Jing Li, Erik F. Y. Hom
2025	A	`conf`	NoisyHate: Mining Online Human-Written Perturbations for Realistic Robustness Benchmarking of Content Moderation Models. ICWSM Yiran Ye, Thai Le, Dongwon Lee
2025	—	`conf`	PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection. NAACL (Long Papers) Jooyoung Lee, Toshini Agrawal, Adaku Uchendu, Thai Le, Jinghui Chen, Dongwon Lee
2025	J	`jnl`	ShareChat: A Dataset of Chatbot Conversations in the Wild. CoRR Yueru Yan, Tuc Nguyen, Bo Su, Melissa Lieffers, Thai Le
2025	—	`conf`	The Dangers of Indirect Prompt Injection Attacks on LLM-based Autonomous Web Navigation Agents: A Demonstration. EMNLP (System Demonstrations) Sam Johnson, Viet Pham, Thai Le
2025	J	`jnl`	The Limits of Obliviate: Evaluating Unlearning in LLMs via Stimulus-Knowledge Entanglement-Behavior Framework. CoRR Aakriti Shah, Thai Le
2025	J	`jnl`	Towards Robust and Accurate Stability Estimation of Local Surrogate Models in Text-based Explainable AI. CoRR Christopher Burger, Charles Walter, Thai Le, Lingwei Chen
2025	A	`conf`	Turing's Echo: Investigating Linguistic Sensitivity of Deepfake Voice Detection via Gamification. INTERSPEECH Binh Nguyen, Thai Le
2025	A*	`conf`	Unraveling Interwoven Roles of Large Language Models in Authorship Privacy: Obfuscation, Mimicking, and Verification. EMNLP Tuc Nguyen, Yifan Hu, Thai Le
2025	J	`jnl`	Unraveling Interwoven Roles of Large Language Models in Authorship Privacy: Obfuscation, Mimicking, and Verification. CoRR Tuc Nguyen, Yifan Hu, Thai Le
2025	J	`jnl`	Verification-Guided Falsification for Safe RL via Explainable Abstraction and Risk-Aware Exploration. CoRR Tuan Le, Risal Shahriar Shefin, Debashis Gupta, Thai Le, Sarra M. Alqahtani
2025	A*	`conf`	What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection. EMNLP Binh Nguyen, Shuju Shi, Ryan Ofman, Thai Le
2025	J	`jnl`	What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection. CoRR Binh Nguyen, Shuji Shi, Ryan Ofman, Thai Le
2025	A	`conf`	xSRL: Safety-Aware Explainable Reinforcement Learning - Safety as a Product of Explainability. AAMAS Risal Shahriar Shefin, Md Asifur Rahman, Thai Le, Sarra M. Alqahtani
2024	—	`conf`	A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models. ACL (Findings) Cuong Dang, Dung D. Le, Thai Le
2024	J	`jnl`	A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models. CoRR Cuong Dang, Dung D. Le, Thai Le
2024	—	`conf`	A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts. ACL (1) Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Róbert Móro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee
2024	A*	`conf`	ALISON: Fast and Effective Stylometric Authorship Obfuscation. AAAI Eric Xing, Saranya Venkatraman, Thai Le, Dongwon Lee
2024	J	`jnl`	ALISON: Fast and Effective Stylometric Authorship Obfuscation. CoRR Eric Xing, Saranya Venkatraman, Thai Le, Dongwon Lee
2024	A*	`conf`	Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers. EMNLP Tuc Nguyen, Thai Le
2024	—	`conf`	Benchmarking Machine Learning Techniques for Bankruptcy Prediction under Benign and Adversarial Behaviors. ACM Southeast Regional Conference Xing Yin, Thai Le
2024	J	`jnl`	Beyond Individual Facts: Investigating Categorical Knowledge Locality of Taxonomy and Meronomy Concepts in GPT Models. CoRR Christopher Burger, Yifan Hu, Thai Le
2024	—	`conf`	Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning. ACL (1) Tuc Nguyen, Thai Le
2024	J	`jnl`	Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning. CoRR Tuc Nguyen, Thai Le
2024	J	`jnl`	Marrying Adapters and Mixup to Efficiently Enhance the Adversarial Robustness of Pre-Trained Language Models for Text Classification. CoRR Tuc Nguyen, Thai Le
2024	J	`jnl`	Natural Language Processing Methods for the Study of Protein-Ligand Interactions. CoRR James Michels, Ramya Bandarupalli, Amin Ahangar Akbari, Thai Le, Hong Xiao, Jing Li, Erik F. Y. Hom
2024	J	`jnl`	NoMatterXAI: Generating "No Matter What" Alterfactual Examples for Explaining Black-Box Text Classification Models. CoRR Tuc Nguyen, James Michels, Hua Shen, Thai Le
2024	J	`jnl`	PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection. CoRR Jooyoung Lee, Toshini Agrawal, Adaku Uchendu, Thai Le, Jinghui Chen, Dongwon Lee
2024	—	`conf`	The Art of Deepfake Text Obfuscation: Lessons Learned From a Manual, First-Person Perspective. ICECET Jun Jang, Thai Le
2024	J	`jnl`	The Effect of Similarity Measures on Accurate Stability Estimates for Local Surrogate Models in Text-based Explainable AI. CoRR Christopher Burger, Charles Walter, Thai Le
2024	A	`conf`	The Strange Case of Jekyll and Hyde: Analysis of R/ToastMe and R/RoastMe Users on Reddit. ICWSM Wooyong Jung, Nishant Asati, Phuong (Lucy) Doan, Thai Le, Aiping Xiong, Dongwon Lee
2024	—	`conf`	The Unexpected Effects of Google Smart Compose on Open-Ended Writing Tasks. AIED (1) Robert E. Cummings, Thai Le, Sijan Shrestha, Carrie Veronica Smith
2024	A	`conf`	TopFormer: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles. ECAI Adaku Uchendu, Thai Le, Dongwon Lee
2024	—	`conf`	Toshakhana: A Multidimensional Panjabi Corpus in Gurmukhi Script. ACM Southeast Regional Conference Arvinder Kang, Thai Le, Yixin Chen
2024	J	`jnl`	Unveiling Topological Structures in Text: A Comprehensive Survey of Topological Data Analysis Applications in NLP. CoRR Adaku Uchendu, Thai Le
2024	J	`jnl`	xSRL: Safety-Aware Explainable Reinforcement Learning - Safety as a Product of Explainability. CoRR Risal Shahriar Shefin, Md Asifur Rahman, Thai Le, Sarra M. Alqahtani
2023	A*	`conf`	"Are Your Explanations Reliable?" Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack. EMNLP Christopher Burger, Lingwei Chen, Thai Le
2023	J	`jnl`	A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts. CoRR Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Róbert Móro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee
2023	J	`jnl`	A novel policy-graph approach with natural language and counterfactual abstractions for explaining reinforcement learning agents. Auton. Agents Multi Agent Syst. Tongtong Liu, Joe McCalmon, Thai Le, Md Asifur Rahman, Dongwon Lee, Sarra M. Alqahtani
2023	J	`jnl`	Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Textual Classification Models via Adversarial Perturbation. CoRR Christopher Burger, Lingwei Chen, Thai Le
2023	J	`jnl`	Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective. SIGKDD Explor. Adaku Uchendu, Thai Le, Dongwon Lee
2023	J	`jnl`	CRYPTEXT: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild. CoRR Thai Le, Ye Yiran, Yifan Hu, Dongwon Lee
2023	A*	`conf`	CrypText: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild. ICDE Thai Le, Yiran Ye, Yifan Hu, Dongwon Lee
2023	A*	`conf`	Do Language Models Plagiarize? WWW Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee
2023	—	`conf`	HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis. EMNLP (Findings) Nafis Irtiza Tripto, Adaku Uchendu, Thai Le, Mattia Setzu, Fosca Giannotti, Dongwon Lee
2023	J	`jnl`	HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis. CoRR Nafis Irtiza Tripto, Adaku Uchendu, Thai Le, Mattia Setzu, Fosca Giannotti, Dongwon Lee
2023	A*	`conf`	MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark. EMNLP Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková
2023	J	`jnl`	MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark. CoRR Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková
2023	J	`jnl`	NoisyHate: Benchmarking Content Moderation Machine Learning Models with Human-Written Perturbations Online. CoRR Yiran Ye, Thai Le, Dongwon Lee
2023	J	`jnl`	TopRoBERTa: Topology-Aware Authorship Attribution of Deepfake Texts. CoRR Adaku Uchendu, Thai Le, Dongwon Lee
2023	—	`conf`	Tutorials at The Web Conference 2023. WWW (Companion Volume) Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
2023	—	`conf`	UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning. EMNLP (Findings) Ziyao Wang, Thai Le, Dongwon Lee
2023	J	`jnl`	Understanding Individual and Team-based Human Factors in Detecting Deepfake Texts. CoRR Adaku Uchendu, Jooyoung Lee, Hua Shen, Thai Le, Ting-Hao Kenneth Huang, Dongwon Lee
2022	J	`jnl`	Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective. CoRR Adaku Uchendu, Thai Le, Dongwon Lee
2022	A	`conf`	CAPS: Comprehensible Abstract Policy Summaries for Explaining Reinforcement Learning Agents. AAMAS Joe McCalmon, Thai Le, Sarra M. Alqahtani, Dongwon Lee
2022	J	`jnl`	Do Language Models Plagiarize? CoRR Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee
2022	—	`conf`	Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense. ACL (Findings) Thai Le, Jooyoung Lee, Kevin Yen, Yifan Hu, Dongwon Lee
2022	J	`jnl`	Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense. CoRR Thai Le, Jooyoung Lee, Kevin Yen, Yifan Hu, Dongwon Lee
2022	—	`conf`	SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher. ACL (1) Thai Le, Noseong Park, Dongwon Lee
2022	A*	`conf`	Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning. WWW Thai Le, Long Tran-Thanh, Dongwon Lee
2022	J	`jnl`	UPTON: Unattributable Authorship Text via Data Poisoning. CoRR Ziyao Wang, Thai Le, Dongwon Lee
2021	—	`conf`	A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks. ACL/IJCNLP (1) Thai Le, Noseong Park, Dongwon Lee
2021	J	`jnl`	Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning. CoRR Thai Le, Long Tran-Thanh, Dongwon Lee
2021	—	`conf`	CHECKER: Detecting Clickbait Thumbnails with Weak Supervision and Co-teaching. ECML/PKDD (5) Tianyi Xie, Thai Le, Dongwon Lee
2021	A*	`conf`	Does Clickbait Actually Attract More Clicks? Three Clickbait Studies You Must Read. CHI Maria D. Molina, S. Shyam Sundar, Md Main Uddin Rony, Naeemul Hassan, Thai Le, Dongwon Lee
2021	A*	`conf`	Large-Scale Data-Driven Airline Market Influence Maximization. KDD Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park
2021	J	`jnl`	Large-Scale Data-Driven Airline Market Influence Maximization. CoRR Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park
2021	—	`conf`	TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation. EMNLP (Findings) Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee
2021	J	`jnl`	TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation. CoRR Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee
2020	—	`conf`	Authorship Attribution for Neural Text Generation. EMNLP (1) Adaku Uchendu, Thai Le, Kai Shu, Dongwon Lee
2020	J	`jnl`	Detecting Universal Trigger's Adversarial Attack with Honeypot. CoRR Thai Le, Noseong Park, Dongwon Lee
2020	A*	`conf`	GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction. KDD Thai Le, Suhang Wang, Dongwon Lee
2020	A*	`conf`	MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. ICDM Thai Le, Suhang Wang, Dongwon Lee
2020	J	`jnl`	MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. CoRR Thai Le, Suhang Wang, Dongwon Lee
2020	J	`jnl`	SIENA: Stochastic Multi-Expert Neural Patcher. CoRR Thai Le, Noseong Park, Dongwon Lee
2019	B	`conf`	5 sources of clickbaits you should know!: using synthetic clickbaits to improve prediction and distinguish between bot-generated and human-written headlines. ASONAM Thai Le, Kai Shu, Maria D. Molina, Dongwon Lee, S. Shyam Sundar, Huan Liu
2019	—	`conf`	How Gullible Are You?: Predicting Susceptibility to Fake News. WebSci Tracy Jia Shen, Robert Cowell, Aditi Gupta, Thai Le, Amulya Yadav, Dongwon Lee
2019	—	`conf`	PATHFINDER: Graph-Based Itemset Embedding for Learning Course Recommendation and Beyond. ICDM Workshops Jiasheng Zhang, Thai Le, Yiming Liao, Dongwon Lee
2019	J	`jnl`	Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples. CoRR Thai Le, Suhang Wang, Dongwon Lee
2018	A*	`conf`	Deep Headline Generation for Clickbait Detection. ICDM Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, Huan Liu
2017	J	`jnl`	Machine Learning Based Detection of Clickbait Posts in Social Media. CoRR Xinyue Cao, Thai Le, Jason Zhang
2016	J	`jnl`	A Comparison of Health Visualization Evaluation Techniques with Older Adults. IEEE Computer Graphics and Applications Thai Le, Hilaire J. Thompson, George Demiris
2015	—	`conf`	Fingerprinting Biomedical Terminologies - Automatic Classification and Visualization of Biomedical Vocabularies through UMLS Semantic Group Profiles. MedInfo Bastien Rance, Thai Le, Olivier Bodenreider
2015	J	`jnl`	The use of think-aloud and instant data analysis in evaluation research: Exemplar and lessons learned. J. Biomed. Informatics Jonathan Joe, Shomir Chaudhuri, Thai Le, Hilaire Thompson, George Demiris
2015	—	`conf`	Visualizing Sensor Data through an Open Platform for Connected Devices. MedInfo Christian Bock, Thai Le, Arjmand Samuel, Danny Huang, Hilaire J. Thompson, George Demiris
2014	J	`jnl`	Tree testing of hierarchical menu structures for health applications. J. Biomed. Informatics Thai Le, Shomir Chaudhuri, Jane Chung, Hilaire Thompson, George Demiris
2013	—	`conf`	An Examination of Electronic Health Information Privacy in Older Adults. MedInfo Thai Le, Hilaire Thompson, George Demiris
2013	—	`conf`	Comparing Information Needs of Health Care Providers and Older Adults: Findings from a Wellness Study. MedInfo Blaine Reeder, Thai Le, Hilaire Thompson, George Demiris
2013	Misc	`conf`	Network Visualization of UMLS Source Vocabularies using Semantic Groups. AMIA Thai Le, Bastien Rance, Olivier Bodenreider
2013	J	`jnl`	Perspectives on wellness self-monitoring tools for older adults. Int. J. Medical Informatics Jina Huh, Thai Le, Blaine Reeder, Hilaire Thompson, George Demiris
2012	Misc	`conf`	Administering a Wide-Scale Survey to Community Dwelling Older Adults: Implications and Lessons Learned. AMIA Shomir Chaudhuri, Thai Le, Catherine White, Jane Chung, George Demiris, Hilaire Thompson
2012	J	`jnl`	Integrated data visualisation: an approach to capture older adults' wellness. Int. J. Electron. Heal. Thai Le, Katarzyna Wilamowska, George Demiris, Hilaire Thompson
2011	J	`jnl`	Facial Expression Classification Based on Multi Artificial Neural Network and Two Dimensional Principal Component Analysis CoRR Thai Le, Phat Tat, Hai Tran