Le Zhang

Orcid: 0009-0001-1889-5864

Affiliations:
  • Mila - Quebec AI Institute, Canada


According to our database1, Le Zhang authored at least 12 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Assessing and Learning Alignment of Unimodal Vision and Language Models.
CoRR, 2024

Introducing Milabench: Benchmarking Accelerators for AI.
CoRR, 2024

MuGI: Enhancing Information Retrieval through Multi-Text Generation Intergration with Large Language Models.
CoRR, 2024

VisMin: Visual Minimal-Change Understanding.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Exploring the Best Practices of Query Expansion with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering.
CoRR, 2023

Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding.
CoRR, 2023

MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

SUBS: Subtree Substitution for Compositional Semantic Parsing.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022


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