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Papers
Automatic Transmission for LLM Tiers: Optimizing Cost and Accuracy in Large Language Models
ACL 2025
Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient Evaluation
ACL 2025
OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
ICLR 2025
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
CVPR 2024
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
NeurIPS 2024
Estimating Large Language Model Capabilities without Labeled Test Data
EMNLP 2023
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples
ICCV 2023
Are reported accuracies in the clinical speech machine learning literature overoptimistic?
Interspeech 2022
BINAS: Bilinear Interpretable Neural Architecture
Search
ACML 2022
Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees
AAAI 2022
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
NeurIPS 2021
Precision-Recall versus Accuracy and the Role of Large Data Sets
AAAI 2019
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
NeurIPS 2017
Estimating Accuracy from Unlabeled Data: A Bayesian Approach
ICML 2016
Predicting Failures of Vision Systems
CVPR 2014