Zefan Cai
Orcid: 0009-0009-8849-8854
According to our database1,
Zefan Cai
authored at least 28 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
CoRR, 2024
Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning.
CoRR, 2024
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models.
CoRR, 2024
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation.
CoRR, 2024
CoRR, 2024
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.
CoRR, 2024
CoRR, 2024
VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness.
CoRR, 2024
Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks.
CoRR, 2023
Distantly-Supervised Named Entity Recognition with Uncertainty-aware Teacher Learning and Student-student Collaborative Learning.
CoRR, 2023
Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond.
CoRR, 2023
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Empowering MultiModal Models' In-Context Learning Ability through Large Language Models.
Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2019
Using Feature Tree Model to Track High Speed Flying Soccer in Complicated Background.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019