| TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding L Zhang, Z Yang, D Yang NAACL 2022, 2022 | 28 | 2022 |
| SUBS: Subtree substitution for compositional semantic parsing J Yang*, L Zhang*, D Yang NAACL 2022, 2022 | 17 | 2022 |
| Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding L Zhang, R Awal, A Agrawal CVPR 2024, 2023 | 11* | 2023 |
| Enhancing the protein tertiary structure prediction by multiple sequence alignment generation L Zhang, J Chen, T Shen, Y Li, S Sun Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024 | 6 | 2024 |
| MoqaGPT: Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model L Zhang, Y Wu, F Mo, JY Nie, A Agrawal Findings of the Association for Computational Linguistics: EMNLP 2023,, 2023 | 6 | 2023 |
| Investigating Prompting Techniques for Zero-and Few-Shot Visual Question Answering R Awal, L Zhang, A Agrawal NeurIPS 2024 Workshop on Multimodal Algorithmic Reasoning, 2023 | 3 | 2023 |
| Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering Y Wu, L Zhang, F Mo, T Zhu, W Ma, JY Nie KDD 2024, 2024 | 2 | 2024 |
| VisMin: Visual Minimal-Change Understanding R Awal*, S Ahmadi*, L Zhang*, A Agrawal Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024 | 1 | 2024 |
| Assessing and Learning Alignment of Unimodal Vision and Language Models L Zhang, Q Yang, A Agrawal arXiv preprint arXiv:2412.04616, 2024 | | 2024 |
| Introducing Milabench: Benchmarking Accelerators for AI P Delaunay, X Bouthillier, O Breuleux, S Ortiz-Gagné, O Bilaniuk, ... arXiv preprint arXiv:2411.11940, 2024 | | 2024 |
| Exploring the Best Practices of Query Expansion with Large Language Models L Zhang, Y Wu, Q Yang, JY Nie Findings of the Association for Computational Linguistics: EMNLP 2024, 1872-1883, 2024 | | 2024 |
Aishwarya AgrawalUniversity of Montreal, Mila, Google DeepMindVerified email at mila.quebec