Researchers have developed a new training method for multimodal large language models (MLLMs) called "Projector Is All You Train." This approach focuses solely on training the projector component that connects the language model backbone to a modality-specific encoder, rather than fine-tuning the entire backbone. Experiments with 3D MLLMs demonstrate that this projector-only training achieves strong multimodal performance, avoids degrading existing language model capabilities, and offers approximately double the training sample throughput compared to joint training methods. The findings were validated across various language model backbones and benchmarks for 3D classification, captioning, and reasoning. AI
IMPACT This projector-only training approach could significantly reduce computational costs and improve efficiency in developing multimodal AI systems.
RANK_REASON The cluster contains a research paper detailing a new training methodology for multimodal large language models. [lever_c_demoted from research: ic=1 ai=1.0]
- 3D Classification of Cold-Water Coral Reefs: A Comparison of Classification Techniques for 3D Reconstructions of Cold-Water Coral Reefs and Seabed
- 3D MLLMs
- captioning benchmarks
- language model backbone
- language reasoning capabilities
- modality-specific encoder
- multimodal large language model
- Projector Is All You Train
- spatial reasoning capabilities
- vision reasoning capabilities
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
