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Reducing conversational agents' overconfidence through linguistic
  calibration

Reducing conversational agents' overconfidence through linguistic calibration

30 December 2020
Sabrina J. Mielke
Arthur Szlam
Emily Dinan
Y-Lan Boureau
ArXivPDFHTML

Papers citing "Reducing conversational agents' overconfidence through linguistic calibration"

14 / 14 papers shown
Title
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Liaoyaqi Wang
Zhengping Jiang
Anqi Liu
Benjamin Van Durme
47
0
0
02 May 2025
Bi-directional Model Cascading with Proxy Confidence
Bi-directional Model Cascading with Proxy Confidence
David Warren
Mark Dras
34
0
0
27 Apr 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Toghrul Abbasli
Kentaroh Toyoda
Yuan Wang
Leon Witt
Muhammad Asif Ali
Yukai Miao
Dan Li
Qingsong Wei
UQCV
74
0
0
25 Apr 2025
Gauging Overprecision in LLMs: An Empirical Study
Gauging Overprecision in LLMs: An Empirical Study
Adil Bahaj
Hamed Rahimi
Mohamed Chetouani
Mounir Ghogho
56
0
0
16 Apr 2025
Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence
Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence
Sophia Hager
David Mueller
Kevin Duh
Nicholas Andrews
52
0
0
18 Mar 2025
Don't lie to your friends: Learning what you know from collaborative self-play
Don't lie to your friends: Learning what you know from collaborative self-play
Jacob Eisenstein
Reza Aghajani
Adam Fisch
Dheeru Dua
Fantine Huot
Mirella Lapata
Vicky Zayats
Jonathan Berant
58
0
0
18 Mar 2025
Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations
Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations
Ziwei Ji
L. Yu
Yeskendir Koishekenov
Yejin Bang
Anthony Hartshorn
Alan Schelten
Cheng Zhang
Pascale Fung
Nicola Cancedda
36
1
0
18 Mar 2025
Large Language Model Confidence Estimation via Black-Box Access
Large Language Model Confidence Estimation via Black-Box Access
Tejaswini Pedapati
Amit Dhurandhar
Soumya Ghosh
Soham Dan
P. Sattigeri
59
3
0
21 Feb 2025
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
Yiming Wang
Pei Zhang
Baosong Yang
Derek F. Wong
Rui-cang Wang
LRM
22
4
0
17 Oct 2024
On Calibration of LLM-based Guard Models for Reliable Content Moderation
On Calibration of LLM-based Guard Models for Reliable Content Moderation
Hongfu Liu
Hengguan Huang
Hao Wang
Xiangming Gu
Ye Wang
33
2
0
14 Oct 2024
Calibrating Expressions of Certainty
Calibrating Expressions of Certainty
Peiqi Wang
Barbara D. Lam
Yingcheng Liu
Ameneh Asgari-Targhi
Rameswar Panda
W. Wells
Tina Kapur
Polina Golland
11
1
0
06 Oct 2024
Natural Language Processing RELIES on Linguistics
Natural Language Processing RELIES on Linguistics
Juri Opitz
Shira Wein
Nathan Schneider
AI4CE
34
7
0
09 May 2024
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
Yu Feng
Ben Zhou
Weidong Lin
Dan Roth
36
4
0
18 Apr 2024
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
223
288
0
17 Mar 2020
1