Self-Play Fine-Tuning of Diffusion Models for Text-to ... - NIPS papers

In this work, we propose Temporal Difference Learning for Model Predictive Control (TD-MPC), a framework for data-driven MPC using a task- ...







Foundations of Large Language Models - AWS
In this section, we present a new technique for updating task models finetuned on a source time period j to a target time period k with only ...
Time is Encoded in the Weights of Finetuned Language Models
Pre-trained language models can be fine-tuned to solve diverse NLP tasks, including in few-shot settings. Thus fine-tuning allows the model to.
Task-Specific Skill Localization in Fine-tuned Language Models
In particu- lar, we propose a novel fine-tuning method called Self-Play fIne-tuNing (SPIN), which begins from a supervised fine- tuned model. SPIN allows the ...



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Pre-training and Fine-tuning Neural Topic Model - ACL Anthology