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cs.AI2026
CLIVO: Differentiable Cluster-Based Instruction Mixing with Learned Validation Objectives
Yuhan Wang, Rui Hu, Batian Di +5
Data selection turns large multimodal instruction pools into compact training subsets tailored to a vision-language model's target capabilities. Effective selection requires both u…
cs.AI2026
Learning What to Practice: Diagnosis-Guided Self-Evolution for Language Models
Xincheng Wei, Yifan Ding, Fucheng Xiong +6
Self-play supports the self-evolution of language models, but solver performance can plateau or decline across rounds without guidance. Existing unguided methods typically use diff…