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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

Uncertainty Modelling in Under-Represented Languages with Bayesian Deep Gaussian Processes COLING 2025
Oddballness: universal anomaly detection with language models COLING 2025
ECC: Synergizing Emotion, Cause and Commonsense for Empathetic Dialogue Generation COLING 2025
On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Evaluation Framework COLING 2025
Inside-Outside Algorithm for Probabilistic Product-Free Lambek Categorial Grammar COLING 2025
Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis COLING 2025
Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events CVPR 2025
Bayesian Test-Time Adaptation for Vision-Language Models CVPR 2025
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation CVPR 2025
Dual Energy-Based Model with Open-World Uncertainty Estimation for Out-of-distribution Detection CVPR 2025
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks CVPR 2025
EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory CVPR 2025
NUTMEG: Separating Signal From Noise in Annotator Disagreement EMNLP 2025
Are Generative Models Underconfident? Better Quality Estimation with Boosted Model Probability EMNLP 2025
Probabilistic Soundness Guarantees in LLM Reasoning Chains EMNLP 2025
Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees EMNLP 2025
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025
Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction EMNLP 2025
A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025
MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning EMNLP 2025
On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts EMNLP 2025
COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier EMNLP 2025
Surprise Calibration for Better In-Context Learning EMNLP 2025
Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences EMNLP 2025
REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking EMNLP 2025