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

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

Weights-Rotated Preference Optimization for Large Language Models EMNLP 2025

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

Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems CVPR 2025

Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models NAACL 2025

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

NEKO at SemEval-2025 Task 4: A Gradient Ascent Based Machine Unlearning Strategy SEMEVAL 2025

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

Information-Theoretic Generative Clustering of Documents AAAI 2025

Surrogate Bayesian Networks for Approximating Evolutionary Games AISTATS 2024

Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound NIPS 2024

Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024

More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation EMNLP 2024

CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion CVPR 2024

Globally Convergent Variational Inference NIPS 2024

VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models EMNLP 2024

Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence EMNLP 2024

Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification NIPS 2024

Adversarial Distillation Based on Slack Matching and Attribution Region Alignment CVPR 2024

Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification EMNLP 2024

Adversarially Balanced Representation for Continuous Treatment Effect Estimation AAAI 2024

Private and Personalized Frequency Estimation in a Federated Setting NIPS 2024

TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences COLING 2024

Multi-stream Information Fusion Framework for Emotional Support Conversation COLING 2024

Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss NIPS 2024