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cs.LG2026
PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis
Xiaomin He, Dongling Xiao, Jiahao Xie +4
Real-world multimodal instructions often bundle multiple requirements with unequal importance, yet most multimodal training data still reduce instruction following to answering one…
cs.LG2026
Patch the Distribution Mismatch: RL Rewriting Agent for Stable Off-Policy SFT
Jiacheng Wang, Ping Jian, Zhijie Liu +5
Large language models are commonly adapted to downstream tasks through supervised fine-tuning (SFT), but substantial distribution mismatch between downstream supervision and a mode…