kl divergence

Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold UAI 2025 Howard University-AI4PC at SemEval-2025 Task 4: Unlearning Sensitive Content From Large Language Models Using Finetuning and Distillation for Selective Knowledge Removal SemEval 2025 How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework ICLR 2025 Ignore the KL Penalty! Boosting Exploration on Critical Tokens to Enhance RL Fine-Tuning NAACL 2025 Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models NAACL 2025 Information-Theoretic Generative Clustering of Documents AAAI 2025 KLAAD: Refining Attention Mechanisms to Reduce Societal Bias in Generative Language Models EMNLP 2025 Laplace Sample Information: Data Informativeness Through a Bayesian Lens ICLR 2025 Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems CVPR 2025 Likelihood Variance as Text Importance for Resampling Texts to Map Language Models EMNLP 2025 Linear Convergence of Diffusion Models Under the Manifold Hypothesis COLT 2025 Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems EMNLP 2025 LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization ICLR 2025 Multiobjective distribution matching ICML 2025 Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency ICLR 2025 NEKO at SemEval-2025 Task 4: A Gradient Ascent Based Machine Unlearning Strategy SemEval 2025 One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation ICML 2025 Optimization Over a Probability Simplex JMLR 2025 Phases of Uncertainty: Confidence–Calibration Dynamics in Language Model Training EMNLP 2025 Provable Convergence Bounds for Hybrid Dynamical Sampling and Optimization ICLR 2025 RESF: Regularized-Entropy-Sensitive Fingerprinting for Black-Box Tamper Detection of Large Language Models EMNLP 2025 Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding CLeaR 2025 Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities AAAI 2025 STAR: Stability-Inducing Weight Perturbation for Continual Learning ICLR 2025 Theoretical guarantees on the best-of-n alignment policy ICML 2025