Summary of Rose: a Reward-oriented Data Selection Framework For Llm Task-specific Instruction Tuning, by Yang Wu et al.
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuningby Yang Wu, Huayi Zhang,…
Summary of Unified Parameter-efficient Unlearning For Llms, by Chenlu Ding et al.
Unified Parameter-Efficient Unlearning for LLMsby Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang,…
Summary of On Foundation Models For Dynamical Systems From Purely Synthetic Data, by Martin Ziegler et al.
On Foundation Models for Dynamical Systems from Purely Synthetic Databy Martin Ziegler, Andres Felipe Posada-Moreno,…
Summary of Fonts: Text Rendering with Typography and Style Controls, by Wenda Shi and Yiren Song and Dengming Zhang and Jiaming Liu and Xingxing Zou
FonTS: Text Rendering with Typography and Style Controlsby Wenda Shi, Yiren Song, Dengming Zhang, Jiaming…
Summary of Step: Enhancing Video-llms’ Compositional Reasoning by Spatio-temporal Graph-guided Self-training, By Haiyi Qiu et al.
STEP: Enhancing Video-LLMs’ Compositional Reasoning by Spatio-Temporal Graph-guided Self-Trainingby Haiyi Qiu, Minghe Gao, Long Qian,…
Summary of Condense, Don’t Just Prune: Enhancing Efficiency and Performance in Moe Layer Pruning, by Mingyu Cao et al.
Condense, Don’t Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruningby Mingyu Cao, Gen…
Summary of Energy-efficient Split Learning For Fine-tuning Large Language Models in Edge Networks, by Zuguang Li et al.
Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networksby Zuguang Li, Shaohua Wu,…
Summary of Less Is More: Efficient Model Merging with Binary Task Switch, by Biqing Qi et al.
Less is More: Efficient Model Merging with Binary Task Switchby Biqing Qi, Fangyuan Li, Zhen…
Summary of Reverse Thinking Makes Llms Stronger Reasoners, by Justin Chih-yao Chen et al.
Reverse Thinking Makes LLMs Stronger Reasonersby Justin Chih-Yao Chen, Zifeng Wang, Hamid Palangi, Rujun Han,…
Summary of Sure-vqa: Systematic Understanding Of Robustness Evaluation in Medical Vqa Tasks, by Kim-celine Kahl et al.
SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasksby Kim-Celine Kahl, Selen Erkan, Jeremias…