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bias calibration

6 papers

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Co-occurring keywords · papers mentioning both

large language model (3) label bia (2) in-context learning (2) few-shot learning (2) surprise calibration (1) class prior shift (1) intrinsic bia (1) evaluator consistency (1) alignment calibration (1) sequential bayesian (1)

Papers

Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning AAAI 2026 Surprise Calibration for Better In-Context Learning EMNLP 2025 Beyond Performance: Quantifying and Mitigating Label Bias in LLMs NAACL 2024 Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models EMNLP 2024 Split and Merge: Aligning Position Biases in LLM-based Evaluators EMNLP 2024 Mitigating Label Biases for In-context Learning ACL 2023