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Confidence Under the Hood: An Investigation into the
  Confidence-Probability Alignment in Large Language Models

Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models

25 May 2024
Abhishek Kumar
Robert D Morabito
Sanzhar Umbet
Jad Kabbara
Ali Emami
ArXivPDFHTML

Papers citing "Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models"

6 / 6 papers shown
Title
Self-Training Large Language Models with Confident Reasoning
Hyosoon Jang
Yunhui Jang
Sungjae Lee
Jungseul Ok
SungSoo Ahn
ReLM
LRM
62
0
0
23 May 2025
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Lianmin Zheng
Wei-Lin Chiang
Ying Sheng
Siyuan Zhuang
Zhanghao Wu
...
Dacheng Li
Eric Xing
Haotong Zhang
Joseph E. Gonzalez
Ion Stoica
ALM
OSLM
ELM
300
4,186
0
09 Jun 2023
Large Language Models Can Self-Improve
Large Language Models Can Self-Improve
Jiaxin Huang
S. Gu
Le Hou
Yuexin Wu
Xuezhi Wang
Hongkun Yu
Jiawei Han
ReLM
AI4MH
LRM
129
594
0
20 Oct 2022
The Factual Inconsistency Problem in Abstractive Text Summarization: A
  Survey
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
Yi-Chong Huang
Xiachong Feng
Xiaocheng Feng
Bing Qin
HILM
153
107
0
30 Apr 2021
Retrieval Augmentation Reduces Hallucination in Conversation
Retrieval Augmentation Reduces Hallucination in Conversation
Kurt Shuster
Spencer Poff
Moya Chen
Douwe Kiela
Jason Weston
HILM
84
721
0
15 Apr 2021
Reducing conversational agents' overconfidence through linguistic
  calibration
Reducing conversational agents' overconfidence through linguistic calibration
Sabrina J. Mielke
Arthur Szlam
Emily Dinan
Y-Lan Boureau
234
161
0
30 Dec 2020
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