Lei Li

According to our database, Lei Li authored at least 29 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ImgTrojan: Jailbreaking Vision-Language Models with ONE Image.

Xijia Tao, Shuai Zhong, Lei Li, Qi Liu, Lingpeng Kong

CoRR, 2024

2023

A Survey for In-context Learning.

Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, Zhifang Sui

CoRR, 2023

Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning.

Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Can Language Models Understand Physical Concepts?

Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, Qi Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter.

Yi Liu, Xiaohan Bi, Lei Li, Sishuo Chen, Wenkai Yang, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge.

Yi Zhang, Lei Li, Yunfang Wu, Qi Su, Xu Sun

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models.

Jingjing Xu, Qingxiu Dong, Hongyi Liu, Lei Li

CoRR, 2022

Gradient Knowledge Distillation for Pre-trained Language Models.

Lean Wang, Lei Li, Xu Sun

CoRR, 2022

Calibrating Factual Knowledge in Pretrained Language Models.

Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li

CoRR, 2022

Rethinking the Openness of CLIP.

Shuhuai Ren, Lei Li, Xuancheng Ren, Guangxiang Zhao, Xu Sun

CoRR, 2022

Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction.

Lei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification.

Deli Chen, Yankai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models.

Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks.

Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Yunfang Wu, Xu Sun

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models.

Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

CoRR, 2021

Well-classified Examples are Underestimated in Classification with Deep Neural Networks.

Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Xu Sun

CoRR, 2021

Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation.

Hua Zheng, Damai Dai, Lei Li, Tianyu Liu, Zhifang Sui, Baobao Chang, Yang Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models.

Wenkai Yang, Lei Li, Zhiyuan Zhang, Xuancheng Ren, Xu Sun, Bin He

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation.

Hua Zheng, Lei Li, Damai Dai, Deli Chen, Tianyu Liu, Xu Sun, Yang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification.

Shuhuai Ren, Jinchao Zhang, Lei Li, Xu Sun, Jie Zhou

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Dynamic Knowledge Distillation for Pre-trained Language Models.

Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade.

Lei Li, Yankai Lin, Deli Chen, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Accelerating Pre-trained Language Models via Calibrated Cascade.

Lei Li, Yankai Lin, Shuhuai Ren, Deli Chen, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

CoRR, 2020

Distance-wise Graph Contrastive Learning.

Deli Chen, Yanyai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

CoRR, 2020

2019

Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling.

Pengcheng Yang, Fuli Luo, Peng Chen, Lei Li, Zhiyi Yin, Xiaodong He, Xu Sun

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Pun-GAN: Generative Adversarial Network for Pun Generation.

Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Automatic Generation of Personalized Comment Based on User Profile.

Wenhuan Zeng, Abulikemu Abuduweili, Lei Li, Pengcheng Yang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information.

Pengcheng Yang, Zhihan Zhang, Fuli Luo, Lei Li, Chengyang Huang, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Enhancing Topic-to-Essay Generation with External Commonsense Knowledge.

Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019