SoftSkill proposes a method to compress natural-language skills into compact latent priors, improving task performance on SearchQA, LiveMath, and DocVQA. It outperforms SkillOpt by 5.2 to 12.5 points on key benchmarks while replacing hundreds to thousands of Markdown tokens with a few virtual tokens.
arxiv
arXiv cs.AI
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104d ago
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research
SoftSkill: Behavioral Compression for Contextual Adaptation
from English
Importance 3/3
New feature vs. leaders
New harness with differentiators
arXiv cs.AI
Alibaba (Qwen)
AI agents
Code generation
Reasoning models
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