confidence calibration

173 papers

Explore in graph

Co-occurring keywords

large language model (12755) uncertainty quantification (1365) uncertainty estimation (639) out-of-distribution detection (611) confidence estimation (162) neural network (6616) model calibration (225) question answering (2904) expected calibration error (44) calibration error (58)

Papers

T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning CVPR 2025

Reasoning under Uncertainty: Efficient LLM Inference via Unsupervised Confidence Dilution and Convergent Adaptive Sampling EMNLP 2025

Parametric ρ-Norm Scaling Calibration AAAI 2025

The Confidence Paradox: Can LLM Know When It’s Wrong? IJCNLP 2025

Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic ACL 2025

Confidence Calibration in Large Language Model-Based Entity Matching EMNLP 2025

Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs EMNLP 2025

Calibrating Language Models for Neural Ranking under Noisy Supervision with Relaxed Labels EMNLP 2025

Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs AAAI 2025

Interpretable Failure Detection with Human-Level Concepts AAAI 2025

Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling AAAI 2025

Do not Abstain! Identify and Solve the Uncertainty ACL 2025

Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement ACL 2025

HW-TSC at SemEval-2024 Task 5: Self-Eval? A Confident LLM System for Auto Prediction and Evaluation for the Legal Argument Reasoning Task SEMEVAL 2024

Pearls from Pebbles: Improved Confidence Functions for Auto-labeling NIPS 2024

Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? EMNLP 2024

The Open-World Lottery Ticket Hypothesis for OOD Intent Classification COLING 2024

Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models ACL 2024

Calibrating Long-form Generations From Large Language Models EMNLP 2024

Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024

Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks AISTATS 2024

SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales EMNLP 2024

Calibrating the Confidence of Large Language Models by Eliciting Fidelity EMNLP 2024

Uncertainty in Language Models: Assessment through Rank-Calibration EMNLP 2024

LACIE: Listener-Aware Finetuning for Calibration in Large Language Models NIPS 2024