uncertainty quantification

1365 papers

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Also known as

UQ

Co-occurring keywords

uncertainty estimation (639) bayesian inference (1904) large language model (12755) conformal prediction (208) gaussian process (1198) variational inference (2069) out-of-distribution detection (611) epistemic uncertainty (156) neural network (6616) bayesian neural network (201)

Papers

Beyond the Score: Uncertainty-Calibrated LLMs for Automated Essay Assessment EMNLP 2025

Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty EMNLP 2025

REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking EMNLP 2025

MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs EMNLP 2025

UNCLE: Benchmarking Uncertainty Expressions in Long-Form Generation EMNLP 2025

Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification EMNLP 2025

From Input Perception to Predictive Insight: Modeling Model Blind Spots Before They Become Errors EMNLP 2025

Retracing the Past: LLMs Emit Training Data When They Get Lost EMNLP 2025

Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models EMNLP 2025

The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models EMNLP 2025

Certain but not Probable? Differentiating Certainty from Probability in LLM Token Outputs for Probabilistic Scenarios EMNLP 2025

Ensuring Reliable and Transparent Algorithmic Fairness Through Optimal Transport and Uncertainty Quantification IJCAI 2025

On Consistent Bayesian Inference from Synthetic Data JMLR 2025

A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates ACL 2025

SGIC: A Self-Guided Iterative Calibration Framework for RAG ACL 2025

Are you sure? Measuring models bias in content moderation through uncertainty EMNLP 2025

SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models EMNLP 2025

Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification RSS 2025

Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs JMLR 2025

SmurfCat at SemEval-2025 Task 3: Bridging External Knowledge and Model Uncertainty for Enhanced Hallucination Detection SEMEVAL 2025

Can Multiple Responses from an LLM Reveal the Sources of Its Uncertainty? EMNLP 2025

Test-time Augmentation Improves Efficiency in Conformal Prediction CVPR 2025

LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty CVPR 2025

Phases of Uncertainty: Confidence–Calibration Dynamics in Language Model Training EMNLP 2025

Conformalized Answer Set Prediction for Knowledge Graph Embedding NAACL 2025