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Understanding the Effects of Iterative Prompting on Truthfulness

Understanding the Effects of Iterative Prompting on Truthfulness

9 February 2024
Satyapriya Krishna
Chirag Agarwal
Himabindu Lakkaraju
    HILM
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Papers citing "Understanding the Effects of Iterative Prompting on Truthfulness"

10 / 10 papers shown
Title
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Satyapriya Krishna
Kalpesh Krishna
Anhad Mohananey
Steven Schwarcz
Adam Stambler
Shyam Upadhyay
Manaal Faruqui
ReLM
3DV
LRM
RALM
27
12
0
28 Jan 2025
Black-Box Access is Insufficient for Rigorous AI Audits
Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper
Carson Ezell
Charlotte Siegmann
Noam Kolt
Taylor Lynn Curtis
...
Michael Gerovitch
David Bau
Max Tegmark
David M. Krueger
Dylan Hadfield-Menell
AAML
13
75
0
25 Jan 2024
N-Critics: Self-Refinement of Large Language Models with Ensemble of
  Critics
N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics
Sajad Mousavi
Ricardo Luna Gutierrez
Desik Rengarajan
Vineet Gundecha
Ashwin Ramesh Babu
Avisek Naug
Antonio Guillen-Perez
S. Sarkar
LRM
HILM
KELM
16
6
0
28 Oct 2023
The Internal State of an LLM Knows When It's Lying
The Internal State of an LLM Knows When It's Lying
A. Azaria
Tom Michael Mitchell
HILM
210
297
0
26 Apr 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
197
2,232
0
22 Mar 2023
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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
Unsolved Problems in ML Safety
Unsolved Problems in ML Safety
Dan Hendrycks
Nicholas Carlini
John Schulman
Jacob Steinhardt
161
268
0
28 Sep 2021
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
231
288
0
17 Mar 2020
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