confidence calibration

173 papers

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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

Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation AAAI 2026

Too Sure for Our Own Good: A User Study on AI Confidence and Human Reliance AAAI 2026

Refine and Align: Confidence Calibration Through Multi-Agent Interaction in VQA AAAI 2026

Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models AAAI 2026

Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models WACV 2026

Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning EACL 2026

Taming Object Hallucinations with Verified Atomic Confidence Estimation EACL 2026

Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths AAAI 2026

Open-World Deepfake Attribution via Confidence-Aware Asymmetric Learning AAAI 2026

The Confidence Trap: Gender Bias and Predictive Certainty in LLMs AAAI 2026

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

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

Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration? ACL 2025

Do not Abstain! Identify and Solve the Uncertainty ACL 2025

Parametric ρ-Norm Scaling Calibration AAAI 2025

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

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

Calibrating LLM Confidence by Probing Perturbed Representation Stability EMNLP 2025

Fine-grained Confidence Estimation for Spurious Correctness Detection in Large Language Models IJCNLP 2025

Improving Large Language Model Confidence Estimates using Extractive Rationales for Classification ACL 2025

Ambiguity Detection and Uncertainty Calibration for Question Answering with Large Language Models NAACL 2025

Line of Duty: Evaluating LLM Self-Knowledge via Consistency in Feasibility Boundaries NAACL 2025

A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs NAACL 2025

Attack-inspired Calibration Loss for Calibrating Crack Recognition AAAI 2025

ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning EMNLP 2025