Ground Every Sentence: Improving Retrieval-Augmented LLMs with
Interleaved Reference-Claim Generation

Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation

1 July 2024

Xintao Wang

Yanghua Xiao

Papers citing "Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation"

4 / 4 papers shown

Title
EnronQA: Towards Personalized RAG over Private Documents Michael J. Ryan Danmei Xu Chris Nivera Daniel Campos SILM 69 0 0 01 May 2025
A Survey on Knowledge-Oriented Retrieval-Augmented Generation Mingyue Cheng Yucong Luo Jie Ouyang Qiang Liu Huijie Liu ... Bohou Zhang Jiawei Cao Jie Ma Daoyu Wang Enhong Chen 3DV 76 3 0 11 Mar 2025
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse Maojia Song Shang Hong Sim Rishabh Bhardwaj Hai Leong Chieu Navonil Majumder Soujanya Poria 37 6 0 17 Sep 2024
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting Zilong Wang Zifeng Wang Long Le Huaixiu Steven Zheng Swaroop Mishra ... Anush Mattapalli Ankur Taly Jingbo Shang Chen-Yu Lee Tomas Pfister RALM 85 33 0 11 Jul 2024