TG-RAG: A Retrieval-Augmented Framework for Reasoning Guidance in Specialized Domains
Liang Su · Mingyang Zhang · Yun Xiong · Tengfei LIU · Siwei Zhang · Xi Chen · Li Sun
首次获取该候选人的完整档案及 StartLux 评估共 20 积分;每位用户单独解锁,之后查看免费。主动刷新 20 积分。
实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。
Liang Su · Mingyang Zhang · Yun Xiong · Tengfei LIU · Siwei Zhang · Xi Chen · Li Sun
Peng Zhou · Muqi Huang · Tianshuo Qu · Jingyang Wang · kun Zhou · Chuan Li · Feng Shi · Shi Chen · Yun Xiong
Yunfan Gao · Yun Xiong · Wenlong Wu · Bohan Li · Yijie Zhong · Haofen Wang
Recent advancements in Large Language Models (LLMs) have significantly extended context windows, igniting discussions about the necessity of Retrieval-Augmented Generation (RAG). U-NIAH, a unified Needle-In-A-Haystack (NIAH) framework, systematically evaluates LLMs and RAG methods in controlled l...
Yunfan Gao · Xinyi Huang · Yijie Zhong · Zhidong Fan · Zhengke Gui · Lei Liang · Yun Xiong · Haofen Wang
Deep research is a retrieval-intensive task that requires iteratively retrieving evidence, reading across sources, and synthesizing source-grounded outputs. In practice, real-world deep research applications are of high workloads that require generating massive reports or conducting large-scale l...
Siwei Zhang · Yun Xiong · Xi Chen · Zian Jia · Renhong Huang · Jiarong Xu · Jiawei Zhang
Siwei Zhang · Yun Xiong · Xi Chen · Yateng Tang · Zian Jia · Xuehao Zheng · Jiarong Xu