Jianfeng Gao

Nov 23, 2024 | mdpi.com | Yanan Han |Jianfeng Gao |Yang Wu |Xiaojun Shao

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May 8, 2024 | microsoft.com | Liyuan Liu |Jianfeng Gao |Alyssa Hughes

This research paper was presented at the 12th International Conference on Learning Representations (opens in new tab) (ICLR 2024), the premier conference dedicated to the advancement of deep learning. Large language models (LLMs) rely on complex internal mechanisms that require more memory than what is typically available to operate on standard devices.

Mar 13, 2024 | hiteshk03.github.io | Jianfeng Gao

Prompt: The man is riding a horse. Source: Westworld/HBO Prompt: The Joker is talking and smiling. Source: Joker/Batman:Dark Knight Prompt: A big wave. Source: The Great Wave off Kanagawa Prompt: A big sea wave. Source: Brett Allen/Shutterstock.com Prompt: Two person are walking. Source: Malte Mueller/Getty Images Prompt: The horse is walking.

May 22, 2023 | arxiv.org | Hao Fang |Xiaodong Liu |Jianfeng Gao

[Submitted on 11 Oct 2022 ( v1 ), last revised 22 May 2023 (this version, v2)] Title:Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering Download a PDF of the paper titled Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering, by Hao Cheng and 3 other authors Download PDF Abstract: Given its effectiveness on knowledge-intensive natural language processing tasks, dense retrieval models have become...