From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning

From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning

22 April 2025

Papers citing "From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning"

10 / 10 papers shown

Title
Do Large Language Models Know What They Don't Know? Zhangyue Yin Qiushi Sun Qipeng Guo Jiawen Wu Xipeng Qiu Xuanjing Huang ELM AI4MH 47 158 0 29 May 2023
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes Shivam Garg Dimitris Tsipras Percy Liang Gregory Valiant 95 479 0 01 Aug 2022
Training Compute-Optimal Large Language Models Jordan Hoffmann Sebastian Borgeaud A. Mensch Elena Buchatskaya Trevor Cai ... Karen Simonyan Erich Elsen Jack W. Rae Oriol Vinyals Laurent Sifre AI4TS 121 1,915 0 29 Mar 2022
MetaICL: Learning to Learn In Context Sewon Min M. Lewis Luke Zettlemoyer Hannaneh Hajishirzi LRM 173 483 0 29 Oct 2021
Learnable Uncertainty under Laplace Approximations Agustinus Kristiadi Matthias Hein Philipp Hennig UQCV BDL 30 30 0 06 Oct 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 498 41,106 0 28 May 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 449 4,662 0 23 Jan 2020
Reconciling modern machine learning practice and the bias-variance trade-off M. Belkin Daniel J. Hsu Siyuan Ma Soumik Mandal 172 1,628 0 28 Dec 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 443 129,831 0 12 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 759 11,793 0 09 Mar 2017