Code-style in-context learning for knowledge-based question answering Z Nie, R Zhang, Z Wang, X Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 18833 …, 2024 | 7 | 2024 |
On the inadequacy of optimizing alignment and uniformity in contrastive learning of sentence representations Z Nie, R Zhang, Y Mao The Eleventh International Conference on Learning Representations, 2023 | 5 | 2023 |
Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval H Huang, Z Nie, Z Wang, Z Shang Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 18298 …, 2024 | 2 | 2024 |
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning Z Nie, R Zhang, Z Feng, H Huang, X Liu arXiv preprint arXiv:2406.18254, 2024 | | 2024 |
A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens Z Nie, R Zhang, Z Wu arXiv preprint arXiv:2406.17378, 2024 | | 2024 |
Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives Z Feng, R Zhang, Z Nie arXiv preprint arXiv:2404.11317, 2024 | | 2024 |
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model M Li, R Zhang, Z Nie, Y Mao Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13590 …, 2024 | | 2024 |
Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient M Li, R Zhang, Z Nie arXiv preprint arXiv:2402.18281, 2024 | | 2024 |