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Calibration

13 directly classified papers

Papers per year

Papers

Task Calibration: Calibrating Large Language Models on Inference Tasks ACL 2025
A No Free Lunch Theorem for Human-AI Collaboration AAAI 2025
Beyond Averages: Learning with Annotator Disagreement in STS EMNLP 2025
Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration? ACL 2025
Teaching LLMs to Abstain across Languages via Multilingual Feedback EMNLP 2024
Active, anytime-valid risk controlling prediction sets NIPS 2024
When is Multicalibration Post-Processing Necessary? NIPS 2024
On Diversified Preferences of Large Language Model Alignment EMNLP 2024
Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification AAAI 2023
On the Calibration of Massively Multilingual Language Models EMNLP 2022
Improving Calibration through the Relationship with Adversarial Robustness NIPS 2021
On the Effects of Transformer Size on In- and Out-of-Domain Calibration EMNLP 2021
Selective Question Answering under Domain Shift ACL 2020