Summary of Velora: a Low-rank Adaptation Approach For Efficient Rgb-event Based Recognition, by Lan Chen et al.
VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognitionby Lan Chen, Haoxiang Yang, Pengpeng…
VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognitionby Lan Chen, Haoxiang Yang, Pengpeng…
Research on the Proximity Relationships of Psychosomatic Disease Knowledge Graph Modules Extracted by Large Language…
Adaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training Pipelineby Guancheng Zeng, Wentao Ding, Beining Xu,…
All-in-One Tuning and Structural Pruning for Domain-Specific LLMsby Lei Lu, Zhepeng Wang, Runxue Bao, Mengbing…
Can video generation replace cinematographers? Research on the cinematic language of generated videoby Xiaozhe Li,…
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case…
SceneLLM: Implicit Language Reasoning in LLM for Dynamic Scene Graph Generationby Hang Zhang, Zhuoling Li,…
Efficient Adaptation of Multilingual Models for Japanese ASRby Mark Bajo, Haruka Fukukawa, Ryuji Morita, Yuma…
QueEn: A Large Language Model for Quechua-English Translationby Junhao Chen, Peng Shu, Yiwei Li, Huaqin…
Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Expertsby Chenyang Zhu,…