transformer-based model
A transformer-based model employs the transformer architecture, which utilizes self-attention mechanisms to process sequences of data non-sequentially, yielding significant advancements in tasks such as natural language processing and vision.
- A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
- ARMesh: Autoregressive Mesh Generation via Next-Level-of-Detail Prediction
- Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy
- HOI-Dyn: Learning Interaction Dynamics for Human-Object Motion Diffusion
- Towards A Translative Model of Sperm Whale Vocalization
- Towards Realistic Earth-Observation Constellation Scheduling: Benchmark and Methodology
- Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning