arxiv
PublishedOctober 31, 2026 at 4:00 AM
Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training
Publisher summary· verbatim
arXiv:2606.11854v2 Announce Type: replace-cross Abstract: Adapting Large Language Models (LLMs) to specific tasks usually involves fine-tuning: Low-Rank Adaptation (LoRA) edits the weights, while soft prompting prepends trainable virtual tokens. Both change how an already-optimized model is served,
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Originally published on arxiv ↗