no code implementations • 5 Mar 2024 • Kaiyan Zhang, Jianyu Wang, Ermo Hua, Biqing Qi, Ning Ding, BoWen Zhou
With the advancement of language models (LMs), their exposure to private data is increasingly inevitable, and their deployment (especially for smaller ones) on personal devices, such as PCs and smartphones, has become a prevailing trend.
no code implementations • 16 Jan 2024 • Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, BoWen Zhou, Jie zhou
Knowledge retrieval with multi-modal queries plays a crucial role in supporting knowledge-intensive multi-modal applications.
no code implementations • 10 Nov 2023 • Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, BoWen Zhou
We subsequently evaluate the hypothesis generation capabilities of various top-tier instructed models in zero-shot, few-shot, and fine-tuning settings, including both closed and open-source LLMs.
no code implementations • 24 Oct 2023 • Kaiyan Zhang, Ning Ding, Biqing Qi, Xuekai Zhu, Xinwei Long, BoWen Zhou
Instruction tuning has recently been recognized as an effective way of aligning Large Language Models (LLMs) to enhance their generalization ability across various tasks.
1 code implementation • 23 May 2023 • Xuekai Zhu, Biqing Qi, Kaiyan Zhang, Xinwei Long, Zhouhan Lin, BoWen Zhou
While large language models (LLMs) excel in various natural language processing tasks, their huge size and the inaccessibility of parameters present challenges for practical deployment.
1 code implementation • ACL 2021 • Haoyu Song, Yan Wang, Kaiyan Zhang, Wei-Nan Zhang, Ting Liu
Maintaining consistent personas is essential for dialogue agents.