Summary of Compcap: Improving Multimodal Large Language Models with Composite Captions, by Xiaohui Chen et al.
CompCap: Improving Multimodal Large Language Models with Composite Captionsby Xiaohui Chen, Satya Narayan Shukla, Mahmoud…
Summary of Eaco: Enhancing Alignment in Multimodal Llms Via Critical Observation, by Yongxin Wang et al.
EACO: Enhancing Alignment in Multimodal LLMs via Critical Observationby Yongxin Wang, Meng Cao, Haokun Lin,…
Summary of Prompting Large Language Models For Clinical Temporal Relation Extraction, by Jianping He et al.
Prompting Large Language Models for Clinical Temporal Relation Extractionby Jianping He, Laila Rasmy, Haifang Li,…
Summary of Transferring Self-supervised Pre-trained Models For Shm Data Anomaly Detection with Scarce Labeled Data, by Mingyuan Zhou et al.
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled databy Mingyuan Zhou,…
Summary of Megacoin: Enhancing Medium-grained Color Perception For Vision-language Models, by Ming-chang Chiu et al.
MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Modelsby Ming-Chang Chiu, Shicheng Wen, Pin-Yu Chen, Xuezhe…
Summary of The Broader Spectrum Of In-context Learning, by Andrew Kyle Lampinen et al.
The broader spectrum of in-context learningby Andrew Kyle Lampinen, Stephanie C. Y. Chan, Aaditya K.…
Summary of Navigation World Models, by Amir Bar et al.
Navigation World Modelsby Amir Bar, Gaoyue Zhou, Danny Tran, Trevor Darrell, Yann LeCunFirst submitted to…
Summary of Beyond Algorithm Hyperparameters: on Preprocessing Hyperparameters and Associated Pitfalls in Machine Learning Applications, by Christina Sauer et al.
Beyond algorithm hyperparameters: on preprocessing hyperparameters and associated pitfalls in machine learning applicationsby Christina Sauer,…
Summary of Semi-supervised Transfer Boosting (ss-trboosting), by Lingfei Deng et al.
Semi-Supervised Transfer Boosting (SS-TrBoosting)by Lingfei Deng, Changming Zhao, Zhenbang Du, Kun Xia, Dongrui WuFirst submitted…
Summary of Multi-objective Deep Learning: Taxonomy and Survey Of the State Of the Art, by Sebastian Peitz and Sedjro Salomon Hotegni
Multi-objective Deep Learning: Taxonomy and Survey of the State of the Artby Sebastian Peitz, Sedjro…