Summary of Tele-flm Technical Report, by Xiang Li et al.
Tele-FLM Technical Reportby Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Chao Wang, Xinzhang Liu,…
Summary of What Makes Multimodal In-context Learning Work?, by Folco Bertini Baldassini et al.
What Makes Multimodal In-Context Learning Work?by Folco Bertini Baldassini, Mustafa Shukor, Matthieu Cord, Laure Soulier,…
Summary of Let’s Think Dot by Dot: Hidden Computation in Transformer Language Models, By Jacob Pfau et al.
Let’s Think Dot by Dot: Hidden Computation in Transformer Language Modelsby Jacob Pfau, William Merrill,…
Summary of Toward Physics-aware Deep Learning Architectures For Lidar Intensity Simulation, by Vivek Anand et al.
Toward Physics-Aware Deep Learning Architectures for LiDAR Intensity Simulationby Vivek Anand, Bharat Lohani, Gaurav Pandey,…
Summary of Real-time Compressed Sensing For Joint Hyperspectral Image Transmission and Restoration For Cubesat, by Chih-chung Hsu et al.
Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSatby Chih-Chung Hsu, Chih-Yu…
Summary of Raformer: Redundancy-aware Transformer For Video Wire Inpainting, by Zhong Ji et al.
Raformer: Redundancy-Aware Transformer for Video Wire Inpaintingby Zhong Ji, Yimu Su, Yan Zhang, Jiacheng Hou,…
Summary of Unexplored Faces Of Robustness and Out-of-distribution: Covariate Shifts in Environment and Sensor Domains, by Eunsu Baek et al.
Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domainsby Eunsu Baek,…
Summary of Steal Now and Attack Later: Evaluating Robustness Of Object Detection Against Black-box Adversarial Attacks, by Erh-chung Chen et al.
Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacksby Erh-Chung…
Summary of Assessing the Potential Of Mid-sized Language Models For Clinical Qa, by Elliot Bolton et al.
Assessing The Potential Of Mid-Sized Language Models For Clinical QAby Elliot Bolton, Betty Xiong, Vijaytha…
Summary of Kgvalidator: a Framework For Automatic Validation Of Knowledge Graph Construction, by Jack Boylan et al.
KGValidator: A Framework for Automatic Validation of Knowledge Graph Constructionby Jack Boylan, Shashank Mangla, Dominic…