kl divergence

195 papers

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Also known as

KULLBACK-LEIBLER KL

Co-occurring keywords

variational inference (2069) bayesian inference (1904) kullback-leibler divergence (179) language model (4573) variational autoencoder (1282) knowledge distillation (3680) large language model (12755) reinforcement learning (4122) markov chain monte carlo (724) mutual information (717)

Papers

OD-Stega: LLM-Based Relatively Secure Steganography via Optimized Distributions EACL 2026

Direct Visual Grounding by Directing Attention of Visual Tokens WACV 2026

MARPO: A Reflective Policy Optimization for Multi-Agent Reinforcement Learning AAAI 2026

TIM++: Transductive Information Maximization for Few-Shot CLIP AAAI 2026

ASKD: Reinforcement Learning-Style Knowledge Distillation with Quality-Adaptive Skewness AAAI 2026

SAGE: Structured Attribute-Guided Enhancement for GZSL AAAI 2026

C³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation AAAI 2026

Meta-GAIN for Missing Data Imputation AAAI 2026

Optimization Method for Surrogate Function in Spiking Neural Networks Based on Membrane Potential Distribution AAAI 2026

Fully Unsupervised Self-debiasing of Text-to-Image Diffusion Models WACV 2026

Adaptive KL Control for Direct Preference Optimization in Instruction-Following LLMs AAAI 2026

Likelihood Variance as Text Importance for Resampling Texts to Map Language Models EMNLP 2025

Convergence and Divergence of Language Models under Different Random Seeds EMNLP 2025

DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains EMNLP 2025

RESF: Regularized-Entropy-Sensitive Fingerprinting for Black-Box Tamper Detection of Large Language Models EMNLP 2025

Feature Decomposition-Augmentation Network for Multimodal Sentiment Analysis IJCNLP 2025

KLAAD: Refining Attention Mechanisms to Reduce Societal Bias in Generative Language Models EMNLP 2025

Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities AAAI 2025

Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems EMNLP 2025

Weights-Rotated Preference Optimization for Large Language Models EMNLP 2025

Optimization Over a Probability Simplex JMLR 2025

MALTO at SemEval-2025 Task 4: Dual Teachers for Unlearning Sensitive Content in LLMs ACL 2025

GUIR at SemEval-2025 Task 4: Adaptive Weight Tuning with Gradual Negative Matching for LLM Unlearning ACL 2025

Phases of Uncertainty: Confidence–Calibration Dynamics in Language Model Training EMNLP 2025

BTW: A Non-Parametric Variance Stabilization Framework for Multimodal Model Integration EMNLP 2025