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Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses

Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses

27 February 2024
Juyeon Kim
Jeongeun Lee
Yoonho Chang
Chanyeol Choi
Junseong Kim
Jy-yong Sohn
    KELM
    LRM
ArXivPDFHTML

Papers citing "Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses"

5 / 5 papers shown
Title
Atomic Fact Decomposition Helps Attributed Question Answering
Atomic Fact Decomposition Helps Attributed Question Answering
Zhichao Yan
J. Wang
Jiaoyan Chen
Xiaoli Li
Ru Li
Jeff Z. Pan
KELM
HILM
34
0
0
22 Oct 2024
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language
  Models
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
W. Yu
Hongming Zhang
Xiaoman Pan
Kaixin Ma
Hongwei Wang
Dong Yu
KELM
RALM
LRM
62
101
0
15 Nov 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
206
2,232
0
22 Mar 2023
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for
  Generative Large Language Models
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
Potsawee Manakul
Adian Liusie
Mark J. F. Gales
HILM
LRM
150
386
0
15 Mar 2023
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
274
1,114
0
18 Apr 2021
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