SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learningby Rikuto Kotoge, Zheng Chen, Tasuku…
Fine-tuning can Help Detect Pretraining Data from Large Language Modelsby Hengxiang Zhang, Songxin Zhang, Bingyi…
3DS: Decomposed Difficulty Data Selection’s Case Study on LLM Medical Domain Adaptationby Hongxin Ding, Yue…
Federated Data-Efficient Instruction Tuning for Large Language Modelsby Zhen Qin, Zhaomin Wu, Bingsheng He, Shuiguang…
Superficial Safety Alignment Hypothesisby Jianwei Li, Jung-Eun KimFirst submitted to arxiv on: 7 Oct 2024CategoriesMain:…
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patchesby Rana Muhammad Shahroz…
Diversity-Aware Reinforcement Learning for de novo Drug Designby Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist,…
BookWorm: A Dataset for Character Description and Analysisby Argyrios Papoudakis, Mirella Lapata, Frank KellerFirst submitted…
Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Modelsby Yongjin Yang, Sihyeon Kim,…
Fed-piLot: Optimizing LoRA Assignment for Efficient Federated Foundation Model Fine-Tuningby Zikai Zhang, Jiahao Xu, Ping…