Bayesian Inference

Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment EACL 2026 Covariate-dependent Hierarchical Dirichlet Processes JMLR 2026 CP-Router: An Uncertainty-Aware Router Between LLM and LRM AAAI 2026 Credal Ensemble Distillation for Uncertainty Quantification AAAI 2026 CSP4SDG: Constraint and Information-Theory Based Role Identification in Social Deduction Games with LLM-Enhanced Inference AAAI 2026 Cycle-Consistent Multi-Graph Matching for Self-Supervised Annotation of C. Elegans WACV 2026 Decisive: Guiding User Decisions with Optimal Preference Elicitation from Unstructured Documents ACL 2026 Designing Optimal Mechanisms to Locate Facilities with Insufficient Capacity for Bayesian Agents AAAI 2026 Detecting Training Data of Large Language Models via Expectation Maximization EACL 2026 Do NOT Classify and Count: Hybrid Attribute Control Success Evaluation EACL 2026 ECD: Evidence-guided Contrastive Decoding in Retrieval-Augmented Generation with Accurate Knowledge Reference Adjustment AAAI 2026 Efficient Hallucination Detection: Adaptive Bayesian Estimation of Semantic Entropy with Guided Semantic Exploration AAAI 2026 Efficient Protein Optimization via Structure-aware Hamiltonian Dynamics AAAI 2026 Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Misinformation Engagement on Social Media AAAI 2026 Estimating the True Distribution of Data Collected with Randomized Response AAAI 2026 Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data AAAI 2026 Evidential Semantic Entropy for LLM Uncertainty Quantification EACL 2026 Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes AAAI 2026 Explore How to Inject Beneficial Noise in MLLMs AAAI 2026 Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation JMLR 2026 Fair Bayesian Data Selection via Generalized Discrepancy Measures AAAI 2026 FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair WACV 2026 FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data AAAI 2026 FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs AAAI 2026 Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection JMLR 2026