1 code implementation • 19 Feb 2024 • Junru Lu, Siyu An, Min Zhang, Yulan He, Di Yin, Xing Sun
In the quest to facilitate the deep intelligence of Large Language Models (LLMs) accessible in final-end user-bot interactions, the art of prompt crafting emerges as a critical yet complex task for the average user.
no code implementations • 18 Oct 2023 • Siyu An, Ye Liu, Haoyuan Peng, Di Yin
Extracting structured information from videos is critical for numerous downstream applications in the industry.
1 code implementation • 16 Aug 2023 • Junru Lu, Siyu An, Mingbao Lin, Gabriele Pergola, Yulan He, Di Yin, Xing Sun, Yunsheng Wu
We propose MemoChat, a pipeline for refining instructions that enables large language models (LLMs) to effectively employ self-composed memos for maintaining consistent long-range open-domain conversations.
no code implementations • 9 Nov 2022 • Chen Lin, Ye Liu, Siyu An, Di Yin
In the scenario of unsupervised extractive summarization, learning high-quality sentence representations is essential to select salient sentences from the input document.