| A survey on in-context learning Q Dong, L Li, D Dai, C Zheng, J Ma, R Li, H Xia, J Xu, Z Wu, T Liu, ... arXiv preprint arXiv:2301.00234, 2022 | 1632 | 2022 |
| Diffuseq: Sequence to sequence text generation with diffusion models S Gong, M Li, J Feng, Z Wu, LP Kong arXiv preprint arXiv:2210.08933, 2022 | 327 | 2022 |
| Opencompass: A universal evaluation platform for foundation models OC Contributors GitHub repository, 2023 | 229 | 2023 |
| Internlm: A multilingual language model with progressively enhanced capabilities ILM Team 2023-01-06)[2023-09-27]. https://github. com/InternLM/InternLM, 2023 | 203 | 2023 |
| Perturbed masking: Parameter-free probing for analyzing and interpreting BERT Z Wu, Y Chen, B Kao, Q Liu arXiv preprint arXiv:2004.14786, 2020 | 200 | 2020 |
| ZeroGen: Efficient Zero-shot Learning via Dataset Generation J Ye, J Gao, Q Li, H Xu, J Feng, Z Wu, T Yu, L Kong arXiv preprint arXiv:2202.07922, 2022 | 185 | 2022 |
| Can we edit factual knowledge by in-context learning? C Zheng, L Li, Q Dong, Y Fan, Z Wu, J Xu, B Chang arXiv preprint arXiv:2305.12740, 2023 | 149 | 2023 |
| Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering Z Wu, Y Wang, J Ye, L Kong | 141 | 2023 |
| Compositional exemplars for in-context learning J Ye, Z Wu, J Feng, T Yu, L Kong International Conference on Machine Learning, 39818-39833, 2023 | 115 | 2023 |
| Seeclick: Harnessing gui grounding for advanced visual gui agents K Cheng, Q Sun, Y Chu, F Xu, Y Li, J Zhang, Z Wu arXiv preprint arXiv:2401.10935, 2024 | 107 | 2024 |
| Next: a neural network framework for next poi recommendation Z Zhang, C Li, Z Wu, A Sun, D Ye, X Luo Frontiers of Computer Science 14, 314-333, 2020 | 94 | 2020 |
| Good for misconceived reasons: An empirical revisiting on the need for visual context in multimodal machine translation Z Wu, L Kong, W Bi, X Li, B Kao Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 88* | 2021 |
| Self-guided noise-free data generation for efficient zero-shot learning WZ J Gao, R Pi, L Yong, H Xu, J Ye, Z Wu The Eleventh International Conference on Learning Representations (ICLR 2023), 2023 | 83* | 2023 |
| Os-copilot: Towards generalist computer agents with self-improvement Z Wu, C Han, Z Ding, Z Weng, Z Liu, S Yao, T Yu, L Kong arXiv preprint arXiv:2402.07456, 2024 | 74 | 2024 |
| Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling Z Chen, W Wang, Y Cao, Y Liu, Z Gao, E Cui, J Zhu, S Ye, H Tian, Z Liu, ... arXiv preprint arXiv:2412.05271, 2024 | 73 | 2024 |
| ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback J Ye, J Gao, J Feng, Z Wu, T Yu, L Kong arXiv preprint arXiv:2210.12329, 2022 | 63 | 2022 |
| OpenICL: An Open-Source Framework for In-context Learning Z Wu, YX Wang, J Ye, J Feng, J Xu, Y Qiao, Z Wu arXiv preprint arXiv:2303.02913, 2023 | 43 | 2023 |
| Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration Q Sun, Z Yin, X Li, Z Wu, X Qiu, L Kong arXiv preprint arXiv:2310.00280, 2023 | 42 | 2023 |
| Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models F Xu, Z Wu, Q Sun, S Ren, F Yuan, S Yuan, Q Lin, Y Qiao, J Liu arXiv preprint arXiv:2311.09278, 2023 | 36 | 2023 |
| Towards practical open knowledge base canonicalization TH Wu, Z Wu, B Kao, P Yin Proceedings of the 27th ACM International Conference on Information and …, 2018 | 35 | 2018 |
Lingpeng KongGoogle DeepMind, The University of Hong Kongcs.hku.hk üzerinde doğrulanmış e-posta adresine sahip