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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Effective Writing – 18 Specific Ways to Improve Writing
Published:
After delving into the book “Style: The Basics of Clarity and Grace,” I distilled its essence into several key items (just like my once-favorite technical series, “Effective C++”). I hope this can help readers to hone their writing skills with these insights.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Fast Large Language Model Collaborative Decoding via Speculation
Jiale Fu* , Yuchu Jiang* , Junkai Chen , Jiaming Fan , Xin Geng , Xu Yang
Published in ICML, 2025
Collaborative decoding via Speculation (CoS) is a novel framework that accelerates the ensemble of any number of LLMs without sacrificing performance. It could reach 1.11x-2.23x over standard ensemble techniques on two-model or three-model pairs.
Recommended citation: Fu J, Jiang Y, Chen J, et al. Fast Large Language Model Collaborative Decoding via Speculation[J]. arXiv preprint arXiv:2502.01662, 2025.
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Mimic In-Context Learning in Multimodal Tasks
Yuchu Jiang , Jiale Fu , Chenduo Hao , Xinting Hu , Yingzhe Peng , Xin Geng , Xu Yang
Published in CVPR, 2025
MimIC is a novel framework that mimics in-context learning for multimodal tasks by injecting lightweight, query-conditioned shift vectors after each attention head. Applied to Idefics1-9B, MimIC achieves up to +3.46% accuracy improvement on VQAv2, +3.57% on OK-VQA, and +9.00 CIDEr on image captioning, compared to standard 32-shot in-context learning. Moreover, MimIC effectively mitigates hallucination commonly introduced by conventional ICL approaches, while incurring inference overhead comparable to zero-shot inference.
Recommended citation: Jiang Y, Fu J, Hao C, et al. Mimic In-Context Learning for Multimodal Tasks[J]. arXiv preprint arXiv:2504.08851, 2025.
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.