Stochastic Processes

Benchmarking Uncertainty Metrics for LLM Target-Aware Search EMNLP 2025 Beyond Averages: Learning with Annotator Disagreement in STS EMNLP 2025 Beyond cognacy ACL 2025 Beyond Correctness: Confidence-Aware Reward Modeling for Enhancing Large Language Model Reasoning EMNLP 2025 Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity ACL 2025 Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework EMNLP 2025 Black-Box Optimization with Implicit Constraints for Public Policy AAAI 2025 Boltzmann priors for Implicit Transfer Operators ICLR 2025 Brain Bandit: A Biologically Grounded Neural Network for Efficient Control of Exploration ICLR 2025 BridgeVoC: Neural Vocoder with Schrödinger Bridge IJCAI 2025 Bridging Local and Global Knowledge via Transformer in Board Games IJCAI 2025 Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space ICLR 2025 Calibrating Large Language Models with Sample Consistency AAAI 2025 Capturing the Temporal Dependence of Training Data Influence ICLR 2025 CER: Confidence Enhanced Reasoning in LLMs ACL 2025 Characterizing Dynamical Stability of Stochastic Gradient Descent in Overparameterized Learning JMLR 2025 Characterizing Mamba’s Selective Memory using Auto-Encoders IJCNLP 2025 CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantification IJCAI 2025 Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling AAAI 2025 Comparing noisy neural population dynamics using optimal transport distances ICLR 2025 Compositional simulation-based inference for time series ICLR 2025 Compute-Optimal LLMs Provably Generalize Better with Scale ICLR 2025 Concentration of Cumulative Reward in Markov Decision Processes JMLR 2025 Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback ICLR 2025 Continuous Ensemble Weather Forecasting with Diffusion models ICLR 2025