Summary of Cad-prompted Generative Models: a Pathway to Feasible and Novel Engineering Designs, by Leah Chong et al.
CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designsby Leah Chong, Jude Rayan,…
CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designsby Leah Chong, Jude Rayan,…
Fault Diagnosis in Power Grids with Large Language Modelby Liu Jing, Amirul RahmanFirst submitted to…
Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasksby Pu Feng, Junkang Liang, Size Wang,…
Toward accessible comics for blind and low vision readersby Christophe Rigaud, Jean-Christophe Burie, Samuel PetitFirst…
Tuning Vision-Language Models with Candidate Labels by Prompt Alignmentby Zhifang Zhang, Yuwei Niu, Xin Liu,…
On Speeding Up Language Model Evaluationby Jin Peng Zhou, Christian K. Belardi, Ruihan Wu, Travis…
VIMI: Grounding Video Generation through Multi-modal Instructionby Yuwei Fang, Willi Menapace, Aliaksandr Siarohin, Tsai-Shien Chen,…
Towards Optimizing and Evaluating a Retrieval Augmented QA Chatbot using LLMs with Human in the…
Advancing Prompt Recovery in NLP: A Deep Dive into the Integration of Gemma-2b-it and Phi2…
Enhancing Computer Programming Education with LLMs: A Study on Effective Prompt Engineering for Python Code…