probability distribution

A Content-Preserving Secure Linguistic Steganography AAAI 2026 Are Language Models Any Good at Density Modeling? AAAI 2026 Cloning is as Hard as Learning for Stabilizer States COLT 2026 Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier AAAI 2026 Instance Dependent Testing of Samplers Using Interval Conditioning AAAI 2026 Learning Bayesian Network Classifiers to Minimize Class Variable Parameters JMLR 2026 PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration (Abstract Reprint) AAAI 2026 Random is Faster than Systematic in Multi-Objective Local Search AAAI 2026 Time Series Forecasting via Direct Per-Step Probability Distribution Modeling AAAI 2026 WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network AAAI 2026 ALW: Adaptive Layer-Wise contrastive decoding enhancing reasoning ability in Large Language Models ACL 2025 Are Generative Models Underconfident? Better Quality Estimation with Boosted Model Probability EMNLP 2025 Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation EMNLP 2025 DisTime: Distribution-based Time Representation for Video Large Language Models ICCV 2025 Distribution Prompting: Understanding the Expressivity of Language Models Through the Next-Token Distributions They Can Produce EMNLP 2025 Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation COLING 2025 DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation AAAI 2025 ECO Decoding: Entropy-Based Control for Controllability and Fluency in Controllable Dialogue Generation EMNLP 2025 Enhancing Neural Machine Translation Through Target Language Data: A kNN-LM Approach for Domain Adaptation ACL 2025 Fourier Head: Helping Large Language Models Learn Complex Probability Distributions ICLR 2025 Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection ICLR 2025 Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection AAAI 2025 Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution’s Characteristics ACL 2025 Large Language Models Do Multi-Label Classification Differently EMNLP 2025 MDP-Omni: Parameter-free Multimodal Depth Prior-based Sampling for Omnidirectional Stereo Matching ICCV 2025