1 code implementation • 2 Apr 2024 • Xuechen Liang, Meiling Tao, Tianyu Shi, Yiting Xie
Open large language models (LLMs) have significantly advanced the field of natural language processing, showcasing impressive performance across various tasks. Despite the significant advancements in LLMs, their effective operation still relies heavily on human input to accurately guide the dialogue flow, with agent tuning being a crucial optimization technique that involves human adjustments to the model for better response to such guidance. Addressing this dependency, our work introduces the TinyAgent model, trained on a meticulously curated high-quality dataset.
1 code implementation • 17 Dec 2023 • Meiling Tao, Xuechen Liang, Tianyu Shi, Lei Yu, Yiting Xie
This study presents RoleCraft-GLM, an innovative framework aimed at enhancing personalized role-playing with Large Language Models (LLMs).
no code implementations • 25 Jun 2022 • Zhiyuan Yao, Tianyu Shi, Site Li, Yiting Xie, Yuanyuan Qin, Xiongjie Xie, Huan Lu, Yan Zhang
Axie infinity is a complicated card game with a huge-scale action space.
no code implementations • 14 Nov 2020 • Benedikt Graf, Arkadiusz Sitek, Amin Katouzian, Yen-Fu Lu, Arun Krishnan, Justin Rafael, Kirstin Small, Yiting Xie
Chest x-ray imaging is widely used for the diagnosis of pneumothorax and there has been significant interest in developing automated methods to assist in image interpretation.
no code implementations • 3 Apr 2020 • Manikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek
Acute aortic syndrome (AAS) is a group of life threatening conditions of the aorta.