Summary of Joint Unsupervised and Supervised Training For Automatic Speech Recognition Via Bilevel Optimization, by a F M Saif et al.
Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimizationby A F M…
Summary of Concrete Surface Crack Detection with Convolutional-based Deep Learning Models, by Sara Shomal Zadeh et al.
Concrete Surface Crack Detection with Convolutional-based Deep Learning Modelsby Sara Shomal Zadeh, Sina Aalipour birgani,…
Summary of An Experimental Design Framework For Label-efficient Supervised Finetuning Of Large Language Models, by Gantavya Bhatt et al.
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Modelsby Gantavya Bhatt, Yifang…
Summary of Heterogeneous Lora For Federated Fine-tuning Of On-device Foundation Models, by Yae Jee Cho and Luyang Liu and Zheng Xu and Aldi Fahrezi and Gauri Joshi
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Modelsby Yae Jee Cho, Luyang Liu, Zheng…
Summary of Domain Adaptation For Time Series Transformers Using One-step Fine-tuning, by Subina Khanal et al.
Domain Adaptation for Time series Transformers using One-step fine-tuningby Subina Khanal, Seshu Tirupathi, Giulio Zizzo,…
Summary of Autocompletion Of Chief Complaints in the Electronic Health Records Using Large Language Models, by K M Sajjadul Islam et al.
Autocompletion of Chief Complaints in the Electronic Health Records using Large Language Modelsby K M…
Summary of Discovering Low-rank Subspaces For Language-agnostic Multilingual Representations, by Zhihui Xie et al.
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representationsby Zhihui Xie, Handong Zhao, Tong Yu, Shuai LiFirst…
Summary of Epilepsyllm: Domain-specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge, by Xuyang Zhao and Qibin Zhao and Toshihisa Tanaka
EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledgeby Xuyang Zhao, Qibin Zhao, Toshihisa…
Summary of Scaling Laws For Forgetting When Fine-tuning Large Language Models, by Damjan Kalajdzievski
Scaling Laws for Forgetting When Fine-Tuning Large Language Modelsby Damjan KalajdzievskiFirst submitted to arxiv on:…
Summary of Himtm: Hierarchical Multi-scale Masked Time Series Modeling with Self-distillation For Long-term Forecasting, by Shubao Zhao et al.
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecastingby Shubao Zhao, Ming…