Summary of Selective Preference Optimization Via Token-level Reward Function Estimation, by Kailai Yang et al.
Selective Preference Optimization via Token-Level Reward Function Estimationby Kailai Yang, Zhiwei Liu, Qianqian Xie, Jimin…
Summary of Mpruner: Optimizing Neural Network Size with Cka-based Mutual Information Pruning, by Seungbeom Hu et al.
MPruner: Optimizing Neural Network Size with CKA-Based Mutual Information Pruningby Seungbeom Hu, ChanJun Park, Andrew…
Summary of Rulealign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment, by Xiaohan Wang et al.
RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignmentby Xiaohan Wang, Xiaoyan Yang,…
Summary of Alphafolding: 4d Diffusion For Dynamic Protein Structure Prediction with Reference and Motion Guidance, by Kaihui Cheng et al.
AlphaFolding: 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidanceby Kaihui Cheng,…
Summary of Weight Scope Alignment: a Frustratingly Easy Method For Model Merging, by Yichu Xu et al.
Weight Scope Alignment: A Frustratingly Easy Method for Model Mergingby Yichu Xu, Xin-Chun Li, Le…
Summary of Beyond Labels: Aligning Large Language Models with Human-like Reasoning, by Muhammad Rafsan Kabir et al.
Beyond Labels: Aligning Large Language Models with Human-like Reasoningby Muhammad Rafsan Kabir, Rafeed Mohammad Sultan,…
Summary of Proteingpt: Multimodal Llm For Protein Property Prediction and Structure Understanding, by Yijia Xiao et al.
ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understandingby Yijia Xiao, Edward Sun, Yiqiao…
Summary of Towards Aligned Data Removal Via Twin Machine Unlearning, by Yuyao Sun et al.
Towards Aligned Data Removal via Twin Machine Unlearningby Yuyao Sun, Zhenxing Niu, Gang hua, Rong…
Summary of Seal: Systematic Error Analysis For Value Alignment, by Manon Revel et al.
SEAL: Systematic Error Analysis for Value ALignmentby Manon Revel, Matteo Cargnelutti, Tyna Eloundou, Greg LeppertFirst…
Summary of Exploiting Fine-grained Prototype Distribution For Boosting Unsupervised Class Incremental Learning, by Jiaming Liu et al.
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learningby Jiaming Liu, Hongyuan Liu, Zhili…