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,…
SceneLLM: Implicit Language Reasoning in LLM for Dynamic Scene Graph Generationby Hang Zhang, Zhuoling Li,…
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case…
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,…