How Well Do Large Language Models Truly Ground?

How Well Do Large Language Models Truly Ground?

15 November 2023

Hyunji Lee

Papers citing "How Well Do Large Language Models Truly Ground?"

9 / 9 papers shown

Title
CORG: Generating Answers from Complex, Interrelated Contexts Hyunji Lee Franck Dernoncourt Trung H. Bui Seunghyun Yoon 19 0 0 25 Apr 2025
On Mitigating Code LLM Hallucinations with API Documentation Nihal Jain Robert Kwiatkowski Baishakhi Ray M. K. Ramanathan Varun Kumar 33 7 0 13 Jul 2024
Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations Sukmin Cho Soyeong Jeong Jeongyeon Seo Taeho Hwang Jong C. Park SILM AAML 43 26 0 22 Apr 2024
Semiparametric Token-Sequence Co-Supervision Hyunji Lee Doyoung Kim Jihoon Jun Se June Joo Joel Jang Kyoung-Woon On Minjoon Seo 22 0 0 14 Mar 2024
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Akari Asai Zeqiu Wu Yizhong Wang Avirup Sil Hannaneh Hajishirzi RALM 138 600 0 17 Oct 2023
Rethinking with Retrieval: Faithful Large Language Model Inference Hangfeng He Hongming Zhang Dan Roth KELM LRM 138 151 0 31 Dec 2022
ReAct: Synergizing Reasoning and Acting in Language Models Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan Yuan Cao LLMAG ReLM LRM 208 2,413 0 06 Oct 2022
Grounding Language with Visual Affordances over Unstructured Data Oier Mees Jessica Borja-Diaz Wolfram Burgard LM&Ro 121 106 0 04 Oct 2022
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies Mor Geva Daniel Khashabi Elad Segal Tushar Khot Dan Roth Jonathan Berant RALM 245 671 0 06 Jan 2021