SUBS: Subtree Substitution for Compositional Semantic Parsing. - Jingfeng Yang 001; Le Zhang 012; Diyi Yang (NAACL-HLT, 2022)

TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding. - Le Zhang 012; Zichao Yang; Diyi Yang (NAACL-HLT, 2022)

MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model. - Le Zhang 012; Yihong Wu; Fengran Mo; Jian-Yun Nie; Aishwarya Agrawal (EMNLP (Findings), 2023)

Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding. - Le Zhang 012; Rabiul Awal; Aishwarya Agrawal (CoRR, 2023)

Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering. - Rabiul Awal; Le Zhang 012; Aishwarya Agrawal (CoRR, 2023)

Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding. - Le Zhang 012; Rabiul Awal; Aishwarya Agrawal (CVPR, 2024)

Exploring the Best Practices of Query Expansion with Large Language Models. - Le Zhang 012; Yihong Wu; Qian Yang 007; Jian-Yun Nie (EMNLP (Findings), 2024)

Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering. - Yihong Wu; Le Zhang 012; Fengran Mo; Tianyu Zhu; Weizhi Ma; Jian-Yun Nie (KDD, 2024)

VisMin: Visual Minimal-Change Understanding. - Rabiul Awal; Saba Ahmadi; Le Zhang 012; Aishwarya Agrawal (NeurIPS, 2024)

MuGI: Enhancing Information Retrieval through Multi-Text Generation Intergration with Large Language Models. - Le Zhang 012; Yihong Wu; Qian Yang 007; Jian-Yun Nie (CoRR, 2024)

Introducing Milabench: Benchmarking Accelerators for AI. - Pierre Delaunay; Xavier Bouthillier; Olivier Breuleux; Satya Ortiz-Gagné; Olexa Bilaniuk; Fabrice Normandin; Arnaud Bergeron; Bruno Carrez; Guillaume Alain; Soline Blanc; Frédéric Osterrath; Joseph Viviano; et al. (CoRR, 2024)

Assessing and Learning Alignment of Unimodal Vision and Language Models. - Le Zhang 012; Qian Yang 007; Aishwarya Agrawal (CoRR, 2024)