T-RAG: Lessons from the LLM Trenches

12 February 2024

Papers citing "T-RAG: Lessons from the LLM Trenches"

8 / 8 papers shown

Title
PIS: Linking Importance Sampling and Attention Mechanisms for Efficient Prompt Compression Lizhe Chen Binjia Zhou Yuyao Ge Jiayi Chen Shiguang NI 57 0 0 23 Apr 2025
HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation Hao Liu Zhengren Wang Xi Chen Z. Li Feiyu Xiong Qinhan Yu W. Zhang LRM 49 3 0 18 Feb 2025
Autoware.Flex: Human-Instructed Dynamically Reconfigurable Autonomous Driving Systems Ziwei Song Mingsong Lv Tianchi Ren Chun Jason Xue Jen-Ming Wu Nan Guan 77 0 0 17 Feb 2025
DeepThink: Aligning Language Models with Domain-Specific User Intents Yang Li Mingxuan Luo Yeyun Gong Chen Lin Jian Jiao Yi Liu Kaili Huang LRM ALM ELM 52 0 0 08 Feb 2025
CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Filter Z. Li Yangdong Ruan Wenjun Liu Zhengyang Wang Tong Yang 29 1 0 28 Jan 2025
ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation Peter Devine 31 0 0 21 Jan 2025
Can Large Language Models Be an Alternative to Human Evaluations? Cheng-Han Chiang Hung-yi Lee ALM LM&MA 209 559 0 03 May 2023
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop Shitao Xiao Zheng Liu Yingxia Shao Tao Di Xing Xie VLM AIFin 116 41 0 18 Feb 2021