Summary of Training-free Bayesianization For Low-rank Adapters Of Large Language Models, by Haizhou Shi et al.
Training-Free Bayesianization for Low-Rank Adapters of Large Language Modelsby Haizhou Shi, Yibin Wang, Ligong Han,…
Summary of Closed-loop Supervised Fine-tuning Of Tokenized Traffic Models, by Zhejun Zhang et al.
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Modelsby Zhejun Zhang, Peter Karkus, Maximilian Igl, Wenhao Ding,…
Summary of Calico: Conversational Agent Localization Via Synthetic Data Generation, by Andy Rosenbaum et al.
CALICO: Conversational Agent Localization via Synthetic Data Generationby Andy Rosenbaum, Pegah Kharazmi, Ershad Banijamali, Lu…
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 Gla-ai4biomed at Rrg24: Visual Instruction-tuned Adaptation For Radiology Report Generation, by Xi Zhang et al.
Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generationby Xi Zhang, Zaiqiao Meng, Jake…
Summary of One Communication Round Is All It Needs For Federated Fine-tuning Foundation Models, by Ziyao Wang et al.
One Communication Round is All It Needs for Federated Fine-Tuning Foundation Modelsby Ziyao Wang, Bowei…
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 Quantifying the Limits Of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-like and Low-contrast Objects, by Yixin Zhang et al.
Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast Objectsby…
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,…