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Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI

Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI

R. Kaur
Colin Samplawski
Adam Cobb
Anirban Roy
Brian Matejek
Manoj Acharya
Daniel Elenius
Alexander M. Berenbeim
John A. Pavlik
Nathaniel D. Bastian
Susmit Jha
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Papers citing "Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI"

5 / 5 papers shown
Title
Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models
Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models
Sima Noorani
Shayan Kiyani
George Pappas
Hamed Hassani
52
0
0
05 Jun 2025
MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs
MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs
Gabrielle Kaili-May Liu
Gal Yona
Avi Caciularu
Idan Szpektor
Tim G. J. Rudner
Arman Cohan
44
0
0
30 May 2025
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding
Trilok Padhi
R. Kaur
Adam D. Cobb
Manoj Acharya
Anirban Roy
Colin Samplawski
Brian Matejek
Alexander M. Berenbeim
Nathaniel D. Bastian
Susmit Jha
80
0
0
30 Apr 2025
ConformalNL2LTL: Translating Natural Language Instructions into Temporal Logic Formulas with Conformal Correctness Guarantees
ConformalNL2LTL: Translating Natural Language Instructions into Temporal Logic Formulas with Conformal Correctness Guarantees
Jun Wang
David Smith Sundarsingh
Jyotirmoy V. Deshmukh
Y. Kantaros
76
0
0
22 Apr 2025
Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation
Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation
Xiaofan Zhou
Liangjie Huang
Pinyang Cheng
Wenpen Yin
Rui Zhang
Wenrui Hao
Lu Cheng
69
0
0
01 Apr 2025