Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI

4 November 2024

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 Sima Noorani Shayan Kiyani George Pappas Hamed Hassani 52 0 0 05 Jun 2025
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 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 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 Xiaofan Zhou Liangjie Huang Pinyang Cheng Wenpen Yin Rui Zhang Wenrui Hao Lu Cheng 69 0 0 01 Apr 2025