Revolutionizing Language Models: The Role of Token-weighted Optimization
Token-weighted Direct Preference Optimization (TwDPO) is making waves by aligning large language models with human preferences more effectively and efficiently.
Token-weighted Direct Preference Optimization (TwDPO) is making waves by aligning large language models with human preferences more effectively and efficiently.
PromptNCE uses contrastive tasks to estimate pointwise mutual information zero-shot. It outperforms other methods, making it a breakthrough in low-data settings.
Retrieval-Augmented Generation offers a new frontier for Khmer language processing. Evaluations reveal strengths and challenges in accuracy and retrieval.