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
Technical Report for ActivityNet Challenge 2022 -- Temporal Action Localization
Shimin Chen, Wei Li, Jianyang Gu, Chen Chen, Yandong Guo
Technical Report for Soccernet 2023 -- Dense Video Captioning
Zheng Ruan, Ruixuan Liu, Shimin Chen, Mengying Zhou, Xinquan Yang, Wei Li, Chen Chen, Wei Shen
Technical Report for SoccerNet Challenge 2022 -- Replay Grounding Task
Shimin Chen, Wei Li, Jiaming Chu, Chen Chen, Chen Zhang, Yandong Guo
Technical report: Improving the properties of molecules generated by LIMO
Vineet Thumuluri, Peter Eckmann, Michael K. Gilson, Rose Yu
Falcon2-11B Technical Report
Quentin Malartic, Nilabhra Roy Chowdhury, Ruxandra Cojocaru, Mugariya Farooq, Giulia Campesan, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Ankit Singh, Maksim Velikanov, Basma El Amel Boussaha, Mohammed Al-Yafeai, Hamza Alobeidli, Leen Al Qadi, Mohamed El Amine Seddik, Kirill Fedyanin, Reda Alami, Hakim Hacid