Summary of Using Llms to Model the Beliefs and Preferences Of Targeted Populations, by Keiichi Namikoshi et al.
Using LLMs to Model the Beliefs and Preferences of Targeted Populationsby Keiichi Namikoshi, Alex Filipowicz,…
Using LLMs to Model the Beliefs and Preferences of Targeted Populationsby Keiichi Namikoshi, Alex Filipowicz,…
LayerNorm: A key component in parameter-efficient fine-tuningby Taha ValizadehAslani, Hualou LiangFirst submitted to arxiv on:…
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learningby Ahmed Agiza, Marina Neseem, Sherief RedaFirst…
Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoningby Qinhao Zhou,…
Localizing Paragraph Memorization in Language Modelsby Niklas Stoehr, Mitchell Gordon, Chiyuan Zhang, Owen LewisFirst submitted…
Towards a Robust Retrieval-Based Summarization Systemby Shengjie Liu, Jing Wu, Jingyuan Bao, Wenyi Wang, Naira…
Model Stock: All we need is just a few fine-tuned modelsby Dong-Hwan Jang, Sangdoo Yun,…
Dual-Personalizing Adapter for Federated Foundation Modelsby Yiyuan Yang, Guodong Long, Tao Shen, Jing Jiang, Michael…
Structurally Prune Anything: Any Architecture, Any Framework, Any Timeby Xun Wang, John Rachwan, Stephan Günnemann,…
TextCraftor: Your Text Encoder Can be Image Quality Controllerby Yanyu Li, Xian Liu, Anil Kag,…