Summary of Towards Enhancing Health Coaching Dialogue in Low-resource Settings, by Yue Zhou et al.
Towards Enhancing Health Coaching Dialogue in Low-Resource Settingsby Yue Zhou, Barbara Di Eugenio, Brian Ziebart,…
Summary of On Training Data Influence Of Gpt Models, by Yekun Chai et al.
On Training Data Influence of GPT Modelsby Yekun Chai, Qingyi Liu, Shuohuan Wang, Yu Sun,…
Summary of Iitk at Semeval-2024 Task 1: Contrastive Learning and Autoencoders For Semantic Textual Relatedness in Multilingual Texts, by Udvas Basak and Rajarshi Dutta and Shivam Pandey and Ashutosh Modi
IITK at SemEval-2024 Task 1: Contrastive Learning and Autoencoders for Semantic Textual Relatedness in Multilingual…
Summary of Ffn-skipllm: a Hidden Gem For Autoregressive Decoding with Adaptive Feed Forward Skipping, by Ajay Jaiswal et al.
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skippingby Ajay Jaiswal, Bodun…
Summary of Lawinstruct: a Resource For Studying Language Model Adaptation to the Legal Domain, by Joel Niklaus et al.
LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domainby Joel Niklaus, Lucia…
Summary of Modeling Output-level Task Relatedness in Multi-task Learning with Feedback Mechanism, by Xiangming Xi et al.
Modeling Output-Level Task Relatedness in Multi-Task Learning with Feedback Mechanismby Xiangming Xi, Feng Gao, Jun…
Summary of Layernorm: a Key Component in Parameter-efficient Fine-tuning, by Taha Valizadehaslani et al.
LayerNorm: A key component in parameter-efficient fine-tuningby Taha ValizadehAslani, Hualou LiangFirst submitted to arxiv on:…
Summary of Bilora: a Bi-level Optimization Framework For Overfitting-resilient Low-rank Adaptation Of Large Pre-trained Models, by Rushi Qiang et al.
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Modelsby Rushi Qiang,…
Summary of Energy-based Models with Applications to Speech and Language Processing, by Zhijian Ou
Energy-Based Models with Applications to Speech and Language Processingby Zhijian OuFirst submitted to arxiv on:…
Summary of Autolora: Automatically Tuning Matrix Ranks in Low-rank Adaptation Based on Meta Learning, by Ruiyi Zhang et al.
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learningby Ruiyi Zhang, Rushi…