Technical Report
Technical reports detail the development and evaluation of novel methods and systems across diverse scientific domains. Current research focuses on improving the performance and efficiency of large language models (LLMs), including advancements in model architectures like transformers and the use of techniques such as retrieval-augmented generation and knowledge distillation. These improvements are driving progress in areas such as autonomous programming, biomolecular structure prediction, and AI-powered solutions for industrial applications, ultimately accelerating scientific discovery and technological innovation.
Papers
StackOverflowVQA: Stack Overflow Visual Question Answering Dataset
Motahhare Mirzaei, Mohammad Javad Pirhadi, Sauleh Eetemadi
Team Samsung-RAL: Technical Report for 2024 RoboDrive Challenge-Robust Map Segmentation Track
Xiaoshuai Hao, Yifan Yang, Hui Zhang, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang
Graph Convolutional Networks and Graph Attention Networks for Approximating Arguments Acceptability -- Technical Report
Paul Cibier, Jean-Guy Mailly
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Justin Zhao, Timothy Wang, Wael Abid, Geoffrey Angus, Arnav Garg, Jeffery Kinnison, Alex Sherstinsky, Piero Molino, Travis Addair, Devvret Rishi