probabilistic modeling

851 papers

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PM

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bayesian inference (1904) variational inference (2069) probabilistic model (476) graphical model (863) uncertainty quantification (1365) generative model (2889) bayesian network (378) causal inference (1619) latent variable model (564) probabilistic inference (310)

Papers

Language Model Probabilities are Not Calibrated in Numeric Contexts ACL 2025

NUTMEG: Separating Signal From Noise in Annotator Disagreement EMNLP 2025

Evidential Knowledge Distillation ICCV 2025

DeFine: Decision-Making with Analogical Reasoning over Factor Profiles ACL 2025

Probabilistic Multimodal Learning with von Mises-Fisher Distributions IJCAI 2025

A Unified Framework for Human-Allied Learning of Probabilistic Circuits AAAI 2025

GT-Mean Loss: A Simple Yet Effective Solution for Brightness Mismatch in Low-Light Image Enhancement ICCV 2025

Calibration Across Layers: Understanding Calibration Evolution in LLMs EMNLP 2025

AcrosticSleuth: Probabilistic Identification and Ranking of Acrostics in Multilingual Corpora NAACL 2025

Latent Distribution Decouple for Uncertain-Aware Multimodal Multi-label Emotion Recognition ACL 2025

Investigating Psychometric Predictive Power of Syntactic Attention ACL 2025

A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation NAACL 2025

Optimizing Hidden Markov Language Models: An Empirical Study of Reparameterization and Initialization Techniques NAACL 2025

Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment AAAI 2025

EverTracer: Hunting Stolen Large Language Models via Stealthy and Robust Probabilistic Fingerprint EMNLP 2025

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

Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation ICCV 2025

K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences CVPR 2025

Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning IJCAI 2025

A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025

Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery WACV 2025

Fuzzy Multimodal Learning for Trusted Cross-modal Retrieval CVPR 2025

Learnability of Parameter-Bounded Bayes Nets AAAI 2025

SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation ICCV 2025

On Definite Iterated Belief Revision with Belief Algebras IJCAI 2025