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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning EMNLP 2025
Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity EMNLP 2025
Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events CVPR 2025
Oddballness: universal anomaly detection with language models COLING 2025
ProbMED: A Probabilistic Framework for Medical Multimodal Binding ICCV 2025
A Conditional Probability Framework for Compositional Zero-shot Learning ICCV 2025
Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation ICCV 2025
Flow Stochastic Segmentation Networks ICCV 2025
Sum of Squares Circuits AAAI 2025
Ensuring Class-Conditional Coverage for Pathological Workflows (Student Abstract) AAAI 2025
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery WACV 2025
MALTO at SemEval-2025 Task 3: Detecting Hallucinations in LLMs via Uncertainty Quantification and Larger Model Validation ACL 2025
DeFine: Decision-Making with Analogical Reasoning over Factor Profiles ACL 2025
LP-Based Weighted Model Integration over Non-Linear Real Arithmetic IJCAI 2025
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models EMNLP 2025
A Bayesian account of pronoun and neopronoun acquisition NAACL 2025
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching JMLR 2025
General Uncertainty Estimation with Delta Variances AAAI 2025
Calibrating Large Language Models with Sample Consistency AAAI 2025
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval AAAI 2025
Reasoning over Uncertain Text by Generative Large Language Models AAAI 2025
Quantile Regression with Large Language Models for Price Prediction ACL 2025
PM3-KIE: A Probabilistic Multi-Task Meta-Model for Document Key Information Extraction ACL 2025
GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models EMNLP 2025
Reliable Uncertainty Quantification in Machine Learning via Conformal Prediction AAAI 2025