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Lei Li
Lei Li
University of Hong Kong, Peking University
Verified email at connect.hku.hk - Homepage
Title
Cited by
Cited by
Year
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
7182022
Large language models are not fair evaluators
P Wang, L Li, L Chen, D Zhu, B Lin, Y Cao, Q Liu, T Liu, Z Sui
ACL 2024, 2023
2052023
Be careful about poisoned word embeddings: Exploring the vulnerability of the embedding layers in nlp models
W Yang, L Li, Z Zhang, X Ren, X Sun, B He
NAACL 2021, 2021
1122021
Enhancing topic-to-essay generation with external commonsense knowledge
P Yang, L Li, F Luo, T Liu, X Sun
ACL 2019, 2002-2012, 2019
912019
MIT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning
L Li, Y Yin, S Li, L Chen, P Wang, S Ren, M Li, Y Yang, J Xu, X Sun, ...
arXiv preprint arXiv:2306.04387, 2023
73*2023
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling.
P Yang, F Luo, P Chen, L Li, Z Yin, X He, X Sun
IJCAI 2019, 2019
672019
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
602023
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
L Wang, L Li, D Dai, D Chen, H Zhou, F Meng, J Zhou, X Sun
EMNLP 2023 (Best Long Paper Award), 2023
492023
CascadeBERT: Accelerating inference of pre-trained language models via calibrated complete models cascade
L Li, Y Lin, D Chen, S Ren, P Li, J Zhou, X Sun
Findings of EMNLP 2021, 2020
42*2020
Dynamic Knowledge Distillation for Pre-trained Language Models
L Li, Y Lin, S Ren, P Li, J Zhou, X Sun
EMNLP 2021 (Oral), 2021
342021
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification
S Ren, J Zhang, L Li, X Sun, J Zhou
EMNLP 2021, 2021
292021
Making large language models better reasoners with alignment
P Wang, L Li, L Chen, F Song, B Lin, Y Cao, T Liu, Z Sui
arXiv preprint arXiv:2309.02144, 2023
262023
Math-shepherd: A label-free step-by-step verifier for llms in mathematical reasoning
P Wang, L Li, Z Shao, RX Xu, D Dai, Y Li, D Chen, Y Wu, Z Sui
ACL 2024, 2023
24*2023
Pun-gan: Generative adversarial network for pun generation
F Luo, S Li, P Yang, L Li, B Chang, Z Sui, X Sun
EMNLP 2019, 2019
242019
Automatic generation of personalized comment based on user profile
W Zeng, A Abuduweili, L Li, P Yang
ACL Student Research Workshop 2019, 2019
232019
Delving into the Openness of CLIP
S Ren, L Li, X Ren, G Zhao, X Sun
Findings of ACL 2023, 2023
17*2023
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification
D Chen, Y Lin, L Li, X Ren, J Zhou, X Sun
IJCAI 2022 (arixv:2012.07437), 2020
15*2020
Well-classified Examples are Underestimated in Classification with Deep Neural Networks
G Zhao, W Yang, X Ren, L Li, X Sun
AAAI 2022 (arXiv preprint arXiv:2110.06537), 2021
132021
Silkie: Preference distillation for large visual language models
L Li, Z Xie, M Li, S Chen, P Wang, L Chen, Y Yang, B Wang, L Kong
arXiv preprint arXiv:2312.10665, 2023
122023
Cross-modal commentator: Automatic machine commenting based on cross-modal information
P Yang, Z Zhang, F Luo, L Li, C Huang, X Sun
ACL 2019, 2019
122019
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