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Posts by Collection
portfolio
Portfolio item number 2
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publications
Superclass Learning with Representation Enhancement
Published in CVPR, 2023
This paper introduced a novel coarse-grained classification situation called superclass learning, and proposed an attention-based framework (SCLRE) to extract superclass-aware representations.
Recommended citation: Zeyu Gan, Suyun Zhao, Jinlong Kang, Liyuan Shang, Hong Chen, Cuiping Li. Superclass Learning With Representation Enhancement. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 24060-24069, 2023. https://openaccess.thecvf.com/content/CVPR2023/html/Kang_Superclass_Learning_With_Representation_Enhancement_CVPR_2023_paper.html
Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning
Published in arXiv, 2025
This paper theoretically analyzes external slow-thinking methods in LLMs, linking snowball errors to reasoning accuracy and providing insights to enhance the interpretability of existing approaches.
Recommended citation: Zeyu Gan, Yun Liao, Yong Liu. Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning. arXiv preprint arXiv:2501.15602, 2025 https://arxiv.org/abs/2501.15602
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective
Published in ICLR, 2025
This paper explores the critical role of synthetic data in enhancing the post-training performance of large language models (LLMs) from a novel reverse-bottleneck perspective.
Recommended citation: Zeyu Gan, Yong Liu. Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective. In The Thirteenth International Conference on Learning Representations, 2025. https://arxiv.org/abs/2410.01720
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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