Qingxiu Dong
Qingxiu Dong
Other namesRosy Dong, 董 青秀
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Cited by
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A survey on in-context learning
Q Dong, L Li, D Dai, C Zheng, Z Wu, B Chang, X Sun, J Xu, Z Sui
arXiv preprint arXiv:2301.00234, 2022
Multilingual machine translation with large language models: Empirical results and analysis
W Zhu, H Liu, Q Dong, J Xu, S Huang, L Kong, J Chen, L Li
arXiv preprint arXiv:2304.04675, 2023
Can We Edit Factual Knowledge by In-Context Learning?
C Zheng, L Li, Q Dong, Y Fan, Z Wu, J Xu, B Chang
EMNLP 2023, 2023
Calibrating Factual Knowledge in Pretrained Language Models
Q Dong, D Dai, Y Song, J Xu, Z Sui, L Li
Findings of EMNLP 2022, 2022
ParaSCI: A large scientific paraphrase dataset for longer paraphrase generation
Q Dong, X Wan, Y Cao
The 16th Conference of the European Chapter of the Association for …, 2021
Extrapolating large language models to non-english by aligning languages
W Zhu, Y Lv, Q Dong, F Yuan, J Xu, S Huang, L Kong, J Chen, L Li
arXiv preprint arXiv:2308.04948, 2023
Unlocking efficiency in large language model inference: A comprehensive survey of speculative decoding
H Xia, Z Yang, Q Dong, P Wang, Y Li, T Ge, T Liu, W Li, Z Sui
Findings of ACL2024, 2024
Cuge: A chinese language understanding and generation evaluation benchmark
Y Yao, Q Dong, J Guan, B Cao, Z Zhang, C Xiao, X Wang, F Qi, J Bao, ...
arXiv preprint arXiv:2112.13610, 2021
Neural knowledge bank for pretrained transformers
D Dai, W Jiang, Q Dong, Y Lyu, Z Sui
CCF International Conference on Natural Language Processing and Chinese …, 2023
Large language model for science: A study on P vs. NP
Q Dong, L Dong, K Xu, G Zhou, Y Hao, Z Sui, F Wei
arXiv preprint arXiv:2309.05689, 2023
Statistical knowledge assessment for large language models
Q Dong, J Xu, L Kong, Z Sui, L Li
Advances in Neural Information Processing Systems 36, 2024
Can Language Models Understand Physical Concepts?
L Li, J Xu, Q Dong, C Zheng, Q Liu, L Kong, X Sun
arXiv preprint arXiv:2305.14057, 2023
Synthetic data (almost) from scratch: Generalized instruction tuning for language models
H Li, Q Dong, Z Tang, C Wang, X Zhang, H Huang, S Huang, X Huang, ...
arXiv preprint arXiv:2402.13064, 2024
Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues
Q Dong, Z Qin, H Xia, T Feng, S Tong, H Meng, L Xu, W Zhan, S Li, Z Wei, ...
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
Imagenetvc: Zero-shot visual commonsense evaluation on 1000 imagenet categories
H Xia, Q Dong, L Li, J Xu, Z Qin, Z Sui
Findings of EMNLP 2023, 2023
Statistical dataset evaluation: Reliability, difficulty, and validity
C Wang, Q Dong, X Wang, H Wang, Z Sui
arXiv preprint arXiv:2212.09272, 2022
Periodiclora: Breaking the low-rank bottleneck in lora optimization
X Meng, D Dai, W Luo, Z Yang, S Wu, X Wang, P Wang, Q Dong, L Chen, ...
arXiv preprint arXiv:2402.16141, 2024
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances
S Tong, Q Dong, D Dai, T Liu, B Chang, Z Sui
Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022
Can Large Multimodal Models Uncover Deep Semantics Behind Images?
Y Yang, Z Li, Q Dong, H Xia, Z Sui
Findings of ACL2024, 2024
A Challenging Benchmark for Low-Resource Learning
Y Wang, C Ma, Q Dong, L Kong, J Xu
Findings of ACL2024, 2023
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