conftrace_

probability distribution

265 papers

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Co-occurring keywords

optimal transport (948) generative model (2892) neural network (6616) probabilistic modeling (852) language model (4599) normalizing flow (354) bayesian inference (1907) uncertainty quantification (1393) kernel methods (1097) large language model (13587)

Papers

Instance Dependent Testing of Samplers Using Interval Conditioning AAAI 2026
Are Language Models Any Good at Density Modeling? 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
PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration (Abstract Reprint) AAAI 2026
A Content-Preserving Secure Linguistic Steganography AAAI 2026
WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network AAAI 2026
Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier AAAI 2026
Enhancing Neural Machine Translation Through Target Language Data: A kNN-LM Approach for Domain Adaptation ACL 2025
Distribution Prompting: Understanding the Expressivity of Language Models Through the Next-Token Distributions They Can Produce EMNLP 2025
ALW: Adaptive Layer-Wise contrastive decoding enhancing reasoning ability in Large Language Models ACL 2025
Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution’s Characteristics ACL 2025
Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation EMNLP 2025
DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation AAAI 2025
Parametric ρ-Norm Scaling Calibration AAAI 2025
Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation IJCAI 2025
ECO Decoding: Entropy-Based Control for Controllability and Fluency in Controllable Dialogue Generation EMNLP 2025
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection AAAI 2025
DisTime: Distribution-based Time Representation for Video Large Language Models ICCV 2025
ToDi: Token-wise Distillation via Fine-Grained Divergence Control EMNLP 2025
M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models EMNLP 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
Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings COLING 2025
Are Generative Models Underconfident? Better Quality Estimation with Boosted Model Probability EMNLP 2025