Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Apte, Rucha"'
Autor:
Lin, Yu-Chen, Kumar, Akhilesh, Chang, Norman, Zhang, Wenliang, Zakir, Muhammad, Apte, Rucha, He, Haiyang, Wang, Chao, Jang, Jyh-Shing Roger
We present four main contributions to enhance the performance of Large Language Models (LLMs) in generating domain-specific code: (i) utilizing LLM-based data splitting and data renovation techniques to improve the semantic representation of embeddin
Externí odkaz:
http://arxiv.org/abs/2311.16267
In a preliminary attempt to address the problem of data scarcity in physics-based machine learning, we introduce a novel methodology for data generation in physics-based simulations. Our motivation is to overcome the limitations posed by the limited
Externí odkaz:
http://arxiv.org/abs/2306.11075
Generative Adversarial Networks have been crucial in the developments made in unsupervised learning in recent times. Exemplars of image synthesis from text or other images, these networks have shown remarkable improvements over conventional methods i
Externí odkaz:
http://arxiv.org/abs/1908.11863