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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Time Series Forecasting via Direct Per-Step Probability Distribution Modeling AAAI 2026
Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning AAAI 2026
The Energy of Falsehood: Detecting Hallucinations via Diffusion Model Likelihoods EACL 2026
ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias AAAI 2026
Paths Not Taken: Structure-Based Pruning in PSDD Learning and Inference AAAI 2026
Temporal Properties of Conditional Independence in Dynamic Bayesian Networks AAAI 2026
ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model AAAI 2026
Instance Dependent Testing of Samplers Using Interval Conditioning AAAI 2026
ProbMED: A Probabilistic Framework for Medical Multimodal Binding ICCV 2025
Evidential Knowledge Distillation ICCV 2025
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks CVPR 2025
Flow Stochastic Segmentation Networks ICCV 2025
Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events CVPR 2025
Uncertain (Mis)Takes at LeWiDi-2025: Modeling Human Label Variation With Semantic Entropy EMNLP 2025
Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity EMNLP 2025
Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences EMNLP 2025
Are Generative Models Underconfident? Better Quality Estimation with Boosted Model Probability EMNLP 2025
A Conditional Probability Framework for Compositional Zero-shot Learning ICCV 2025
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models EMNLP 2025
ECC: Synergizing Emotion, Cause and Commonsense for Empathetic Dialogue Generation COLING 2025
EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory CVPR 2025
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation CVPR 2025
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery WACV 2025
Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis COLING 2025
UMUTeam at SemEval-2025 Task 3: Detecting Hallucinations in Multilingual Texts Using Encoder-only Models Guided by Large Language Models ACL 2025