Showing 1–20 of 28 results
/ Date/ Name
Mar 3, 2024Partial Federated LearningMay 20, 2020Sentence level estimation of psycholinguistic norms using joint multidimensional annotationsMay 6, 2020Joint Multi-Dimensional Model for Global and Time-Series AnnotationsFeb 15, 2025K-Edit: Language Model Editing with Contextual Knowledge AwarenessJun 11, 2024REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic EntropyFeb 20, 2025LUME: LLM Unlearning with Multitask EvaluationsOct 7, 2024Attribute Controlled Fine-tuning for Large Language Models: A Case Study on DetoxificationJun 1, 2025Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model UnlearningApr 2, 2025SemEval-2025 Task 4: Unlearning sensitive content from Large Language ModelsFeb 7, 2025Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and BeyondNov 3, 2024Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LMJun 15, 2023FedMultimodal: A Benchmark For Multimodal Federated LearningOct 29, 2024Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rateNov 16, 2023JAB: Joint Adversarial Prompting and Belief AugmentationOct 27, 2021Towards Realistic Single-Task Continuous Learning Research for NEROct 25, 2025HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language ModelsMar 23, 2026Rethinking Visual Privacy: A Compositional Privacy Risk Framework for Severity Assessment with VLMsJun 17, 2024Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMsMay 27, 2025Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data CreationMar 17, 2025The Amazon Nova Family of Models: Technical Report and Model Card