Estimating Large Language Model Capabilities without Labeled Test Data

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Estimating Large Language Model Capabilities without Labeled Test Data

24 May 2023

Harvey Yiyun Fu

Xiang Ren

Robin Jia

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Papers citing "Estimating Large Language Model Capabilities without Labeled Test Data"

15 / 15 papers shown

Title
Predicting generalization performance with correctness discriminators Yuekun Yao Alexander Koller 94 1 0 15 Nov 2023
The False Promise of Imitating Proprietary LLMs Arnav Gudibande Eric Wallace Charles Burton Snell Xinyang Geng Hao Liu Pieter Abbeel Sergey Levine Dawn Song ALM 112 205 0 25 May 2023
On the Relation between Sensitivity and Accuracy in In-context Learning Yanda Chen Chen Zhao Zhou Yu Kathleen McKeown He He 215 80 0 16 Sep 2022
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores Zeju Li Konstantinos Kamnitsas Mobarakol Islam Chen Chen Ben Glocker 52 9 0 20 Jul 2022
Language Models (Mostly) Know What They Know Saurav Kadavath Tom Conerly Amanda Askell T. Henighan Dawn Drain ... Nicholas Joseph Benjamin Mann Sam McCandlish C. Olah Jared Kaplan ELM 117 826 0 11 Jul 2022
PaLM: Scaling Language Modeling with Pathways Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra ... Kathy Meier-Hellstern Douglas Eck J. Dean Slav Petrov Noah Fiedel PILM LRM 495 6,240 0 05 Apr 2022
Predicting Out-of-Distribution Error with the Projection Norm Yaodong Yu Zitong Yang Alexander Wei Yi-An Ma Jacob Steinhardt OODD 53 44 0 11 Feb 2022
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton Behnam Neyshabur Hanie Sedghi OODD OOD 62 130 0 11 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 342 1,702 0 15 Oct 2021
Datasets: A Community Library for Natural Language Processing Quentin Lhoest Albert Villanova del Moral Yacine Jernite A. Thakur Patrick von Platen ... Thibault Goehringer Victor Mustar François Lagunas Alexander M. Rush Thomas Wolf 216 610 0 07 Sep 2021
Predicting with Confidence on Unseen Distributions Devin Guillory Vaishaal Shankar Sayna Ebrahimi Trevor Darrell Ludwig Schmidt UQCV OOD 57 122 0 07 Jul 2021
True Few-Shot Learning with Language Models Ethan Perez Douwe Kiela Kyunghyun Cho 128 437 0 24 May 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 286 184 0 18 Apr 2021
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 288 300 0 17 Mar 2020
Verified Uncertainty Calibration Ananya Kumar Percy Liang Tengyu Ma 167 356 0 23 Sep 2019

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