A powerful, production-ready Streamlit web application for comprehensive LLM response evaluation and benchmarking. Features multi-dimensional scoring across 7 key criteria, interactive analytics ...
In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...
Abstract: Domain-adaptive object detection (DAOD) aims to generalize detectors trained in labeled source domains to unlabeled target domains by mitigating domain bias. Recent studies have confirmed ...
TL;DR: We propose ReAlign, a plug-and-play reward-guided alignment strategy for text-to-motion generation, which explicitly enhances both semantic consistency and motion realism throughout the ...
Abstract: Recently, remote sensing image captioning (RSIC) has gained significant attention in the remote sensing community. Due to the significant differences in spatial resolution of remote sensing ...