Source-Aware Training Enables Knowledge Attribution in Language Models

Source-Aware Training Enables Knowledge Attribution in Language Models

1 April 2024

Muhammad Khalifa

Hao Peng

Papers citing "Source-Aware Training Enables Knowledge Attribution in Language Models"

8 / 8 papers shown

Title
Enhancing elusive clues in knowledge learning by contrasting attention of language models Jian Gao Xiao Zhang Ji Wu Miao Li 33 0 0 26 Sep 2024
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 27 6 0 17 Sep 2024
From Matching to Generation: A Survey on Generative Information Retrieval Xiaoxi Li Jiajie Jin Yujia Zhou Yuyao Zhang Peitian Zhang Yutao Zhu Zhicheng Dou 3DV 49 36 0 23 Apr 2024
ChatGPT Hallucinates when Attributing Answers Guido Zuccon Bevan Koopman Razia Shaik RALM LRM HILM 35 10 0 17 Sep 2023
"According to ...": Prompting Language Models Improves Quoting from Pre-Training Data Orion Weller Marc Marone Nathaniel Weir Dawn J Lawrie Daniel Khashabi Benjamin Van Durme HILM 61 44 0 22 May 2023
Rethinking with Retrieval: Faithful Large Language Model Inference Hangfeng He Hongming Zhang Dan Roth KELM LRM 132 151 0 31 Dec 2022
Teaching language models to support answers with verified quotes Jacob Menick Maja Trebacz Vladimir Mikulik John Aslanides Francis Song ... Mia Glaese Susannah Young Lucy Campbell-Gillingham G. Irving Nat McAleese ELM RALM 213 204 0 21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022