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Probabilistic Modeling

83 directly classified papers

Papers per year

Papers

Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies EMNLP 2025
NUTMEG: Separating Signal From Noise in Annotator Disagreement EMNLP 2025
AcrosticSleuth: Probabilistic Identification and Ranking of Acrostics in Multilingual Corpora NAACL 2025
Language Model Probabilities are Not Calibrated in Numeric Contexts ACL 2025
Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference ACL 2025
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory ACL 2025
KGE Calibrator: An Efficient Probability Calibration Method of Knowledge Graph Embedding Models for Trustworthy Link Prediction EMNLP 2025
Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons EMNLP 2024
On Regularized Radon-Nikodym Differentiation JMLR 2024
TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NIPS 2024
Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation AAAI 2024
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction AAAI 2024
A Tractable Inference Perspective of Offline RL NIPS 2024
HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NIPS 2024
Limited-Supervised Multi-Label Learning with Dependency Noise AAAI 2024
More Labels or Cases? Assessing Label Variation in Natural Language Inference EACL 2024
Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling CVPR 2023
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding EMNLP 2023
Improving Adaptive Conformal Prediction Using Self-Supervised Learning AISTATS 2023
Separate but Equal: Equality in Belief Propagation for Single Cycle Graphs AAAI 2023
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics NIPS 2023
Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder EMNLP 2022
Nonparametric Involutive Markov Chain Monte Carlo ICML 2022
Deep Hybrid Models for Out-of-Distribution Detection CVPR 2022
Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows AAAI 2022