TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding L Zhang, Z Yang, D Yang NAACL 2022, 2022 | 27 | 2022 |
SUBS: Subtree substitution for compositional semantic parsing J Yang, L Zhang, D Yang NAACL 2022, 2022 | 20 | 2022 |
Contrasting intra-modal and ranking cross-modal hard negatives to enhance visio-linguistic compositional understanding L Zhang, R Awal, A Agrawal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 15 | 2024 |
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 | 13* | 2023 |
MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions L Zhang, J Chen, T Shen, Y Li, S Sun Advances in Neural Information Processing Systems 37 (NeurIPS 2024) 37 …, 2024 | 12* | 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 | 8 | 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 | 5 | 2024 |
VisMin: Visual Minimal-Change Understanding R Awal*, S Ahmadi*, L Zhang*, A Agrawal Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024 | 3* | 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, 2024 | 2 | 2024 |
Assessing and Learning Alignment of Unimodal Vision and Language Models L Zhang, Q Yang, A Agrawal CVPR 2025, 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 |