ASP at Work: An ASP Implementation of PhyloWS. - Tiep Le; Hieu Nguyen; Enrico Pontelli; Tran Cao Son (ICLP (Technical Communications), 2012)

ASP-DPOP: solving distributed constraint optimization problems with logic programming. - Tiep Le; Tran Cao Son; Enrico Pontelli; William Yeoh 001 (AAMAS, 2014)

Improving DPOP with Branch Consistency for Solving Distributed Constraint Optimization Problems. - Ferdinando Fioretto; Tiep Le; William Yeoh 001; Enrico Pontelli; Tran Cao Son (CP, 2014)

Two Applications of the ASP-Prolog System: Decomposable Programs and Multi-context Systems. - Tran Cao Son; Enrico Pontelli; Tiep Le (PADL, 2014)

Logic and Constraint Logic Programming for Distributed Constraint Optimization. - Tiep Le; Enrico Pontelli; Tran Cao Son; William Yeoh 001 (CoRR, 2014)

Exploiting GPUs in Solving (Distributed) Constraint Optimization Problems with Dynamic Programming. - Ferdinando Fioretto; Tiep Le; Enrico Pontelli; William Yeoh 001; Tran Cao Son (CP, 2015)

Doctoral Consortium Extended Abstract: Multi-context Systems with Preferences. - Tiep Le (LPNMR, 2015)

ER-DCOPs: A Framework for Distributed Constraint Optimization with Uncertainty in Constraint Utilities. - Tiep Le; Ferdinando Fioretto; William Yeoh 001; Tran Cao Son; Enrico Pontelli (AAMAS, 2016)

Preference Elicitation for DCOPs. - Atena M. Tabakhi; Tiep Le; Ferdinando Fioretto; William Yeoh 001 (CP, 2017)

On Computing World Views of Epistemic Logic Programs. - Tran Cao Son; Tiep Le; Patrick Thor Kahl; Anthony P. Leclerc (IJCAI, 2017)

Solving distributed constraint optimization problems using logic programming. - Tiep Le; Tran Cao Son; Enrico Pontelli; William Yeoh 001 (Theory Pract. Log. Program., 2017)

EFP and PG-EFP: Epistemic Forward Search Planners in Multi-Agent Domains. - Tiep Le; Francesco Fabiano; Tran Cao Son; Enrico Pontelli (ICAPS, 2018)

Preference Elicitation with Interdependency and User Bother Cost. - Tiep Le; Atena M. Tabakhi; Long Tran-Thanh; William Yeoh 001; Tran Cao Son (AAMAS, 2018)

Multi-Context Systems with Preferences. - Tiep Le; Tran Cao Son; Enrico Pontelli (Fundam. Informaticae, 2018)

Multi-Context System for Optimization Problems. - Tiep Le; Tran Cao Son; Enrico Pontelli (AAAI, 2019)

A Scheduler for Smart Homes with Probabilistic User Preferences. - Van Nguyen 001; William Yeoh 001; Tran Cao Son; Vladik Kreinovich; Tiep Le (PRIMA, 2019)

COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs. - Tiep Le; Vasudev Lal; Phillip Howard (NeurIPS, 2023)

Probing Intersectional Biases in Vision-Language Models with Counterfactual Examples. - Phillip Howard; Avinash Madasu; Tiep Le; Gustavo A. Lujan-Moreno; Vasudev Lal (CoRR, 2023)

Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples. - Phillip Howard; Avinash Madasu; Tiep Le; Gustavo A. Lujan-Moreno; Anahita Bhiwandiwalla; Vasudev Lal (CoRR, 2023)

SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples. - Phillip Howard; Avinash Madasu; Tiep Le; Gustavo A. Lujan-Moreno; Anahita Bhiwandiwalla; Vasudev Lal (CVPR, 2024)

Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning. - Xin Su 008; Tiep Le; Steven Bethard; Phillip Howard (NAACL-HLT, 2024)

Distill-SynthKG: Distilling Knowledge Graph Synthesis Workflow for Improved Coverage and Efficiency. - Prafulla Kumar Choubey; Xin Su 008; Man Luo; Xiangyu Peng; Caiming Xiong; Tiep Le; Shachar Rosenman; Vasudev Lal; Phil Mui; Ricky Ho Yin Chan; Phillip Howard; Chien-Sheng Wu (CoRR, 2024)

FastRM: An efficient and automatic explainability framework for multimodal generative models. - Gabriela Ben Melech Stan; Estelle Aflalo; Man Luo; Shachar Rosenman; Tiep Le; Sayak Paul; Shao-Yen Tseng; Vasudev Lal (CoRR, 2024)

FiVL: A Framework for Improved Vision-Language Alignment. - Estelle Aflalo; Gabriela Ben Melech Stan; Tiep Le; Man Luo; Shachar Rosenman; Sayak Paul; Shao-Yen Tseng; Vasudev Lal (CoRR, 2024)

LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression. - Souvik Kundu 002; Anahita Bhiwandiwalla; Sungduk Yu; Phillip Howard; Tiep Le; Sharath Nittur Sridhar; David Cobbley; Hao Kang; Vasudev Lal (NAACL (Findings), 2025)