Summary of Characterizing Disparity Between Edge Models and High-accuracy Base Models For Vision Tasks, by Zhenyu Wang et al.
Characterizing Disparity Between Edge Models and High-Accuracy Base Models for Vision Tasksby Zhenyu Wang, Shahriar…
Summary of Cellagent: An Llm-driven Multi-agent Framework For Automated Single-cell Data Analysis, by Yihang Xiao et al.
CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysisby Yihang Xiao, Jinyi Liu, Yan…
Summary of Exploring Knowledge Transfer in Evolutionary Many-task Optimization: a Complex Network Perspective, by Yudong Yang et al.
Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspectiveby Yudong Yang, Kai Wu,…
Summary of From Midi to Rich Tablatures: An Automatic Generative System Incorporating Lead Guitarists’ Fingering and Stylistic Choices, by Pierluigi Bontempi (unipd) et al.
From MIDI to Rich Tablatures: an Automatic Generative System incorporating Lead Guitarists’ Fingering and Stylistic…
Summary of Refuse Whenever You Feel Unsafe: Improving Safety in Llms Via Decoupled Refusal Training, by Youliang Yuan et al.
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Trainingby Youliang Yuan,…
Summary of Label-anticipated Event Disentanglement For Audio-visual Video Parsing, by Jinxing Zhou et al.
Label-anticipated Event Disentanglement for Audio-Visual Video Parsingby Jinxing Zhou, Dan Guo, Yuxin Mao, Yiran Zhong,…
Summary of Conceptexpress: Harnessing Diffusion Models For Single-image Unsupervised Concept Extraction, by Shaozhe Hao et al.
ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extractionby Shaozhe Hao, Kai Han, Zhengyao Lv,…
Summary of Structural Design Through Reinforcement Learning, by Thomas Rochefort-beaudoin et al.
Structural Design Through Reinforcement Learningby Thomas Rochefort-Beaudoin, Aurelian Vadean, Niels Aage, Sofiane AchicheFirst submitted to…
Summary of Inference Performance Optimization For Large Language Models on Cpus, by Pujiang He and Shan Zhou and Wenhuan Huang and Changqing Li and Duyi Wang and Bin Guo and Chen Meng and Sheng Gui and Weifei Yu and Yi Xie
Inference Performance Optimization for Large Language Models on CPUsby Pujiang He, Shan Zhou, Wenhuan Huang,…
Summary of Exposing Privacy Gaps: Membership Inference Attack on Preference Data For Llm Alignment, by Qizhang Feng et al.
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignmentby Qizhang Feng, Siva…