DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams
Agentic Data Tailoring paradigm uses learnable data processing to structure high-entropy multimodal streams, with DataClaw_0-9B model achieving robust alignment through SFT and GRP…
Hugging Face · Daily Papers
·Cong Wan, Zeyu Guo
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·▲ 60 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Cong Wan, Zeyu Guo, Zijian Cai, Jiangyang Li, SongLin Dong, Lin Peng
- 60 upvotes da comunidade
- Temas: Agentic Data Tailoring, generative semantic synthesis, deterministic Factual Anchors, Supervised Fine-Tuning, Group Relative Policy Optimization, data refinement
Resumo
Resumo original (em inglês), extraído do paper:
Agentic Data Tailoring paradigm uses learnable data processing to structure high-entropy multimodal streams, with DataClaw_0-9B model achieving robust alignment through SFT and GRPO on a novel benchmark.
