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Probabilistic Modeling

2591 directly classified papers

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Learnability of Parameter-Bounded Bayes Nets AAAI 2025
Auto Encoding Neural Process for Multi-interest Recommendation AAAI 2025
Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network AAAI 2025
A Bayesian account of pronoun and neopronoun acquisition NAACL 2025
AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception Detection AAAI 2025
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation NAACL 2025
Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction EMNLP 2025
Ensuring Class-Conditional Coverage for Pathological Workflows (Student Abstract) AAAI 2025
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching JMLR 2025
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs JMLR 2025
Mixtures of Gaussian Process Experts with SMC^2 JMLR 2025
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation JMLR 2025
Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data JMLR 2025
MALTO at SemEval-2025 Task 3: Detecting Hallucinations in LLMs via Uncertainty Quantification and Larger Model Validation ACL 2025
DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation AAAI 2025
Inside-Outside Algorithm for Probabilistic Product-Free Lambek Categorial Grammar COLING 2025
Bold Claims or Self-Doubt? Factuality Hallucination Type Detection via Belief State EMNLP 2025
REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking EMNLP 2025
MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning EMNLP 2025
Piecewise deterministic sampling with splitting schemes JMLR 2025
A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025
Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation ICCV 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
Quantifying Uncertainty in Natural Language Explanations of Large Language Models for Question Answering EMNLP 2025