Lei Li
Affiliations:- University of Hong Kong, Hong Kong
- Peking University, School of EECS, Beijing, China (former)
According to our database1,
Lei Li
authored at least 51 papers
between 2019 and 2024.
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Collaborative distances:
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models.
CoRR, 2024
Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models.
CoRR, 2024
CoRR, 2024
Unleashing the Potential of Large Language Models for Predictive Tabular Tasks in Data Science.
CoRR, 2024
CoRR, 2024
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
CoRR, 2023
M<sup>3</sup>IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning.
CoRR, 2023
CoRR, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter.
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.
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
Well-classified Examples are Underestimated in Classification with Deep Neural Networks.
CoRR, 2021
Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation.
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.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
2020
2019
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019