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Is Generation Required for Data-Efficient Perception?
用数据高效感知研究破解生成模型必要性，视觉AI进阶必读论文
arXiv:2512.08854v3 Announce Type: replace-cross Abstract: It has been hypothesized that achieving the data efficiency of human visual perception requi…
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Edu-Theater: A Data-Efficient Agent Framework for Scalable Learner Behavior Simulation through Staging Roll-Call
让AI模拟学习者行为更省数据？这个教育代理框架通过点名机制实现高效仿真，教育科技研究的新利器。
arXiv:2606.15225v1 Announce Type: cross Abstract: Large-scale learner-task interaction data are crucial for intelligent educational systems but are co…
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LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization
LLM极低比特量化新突破，线性约束向量量化实现2比特数据高效训练，已被ICML 2026收录。
arXiv:2606.10531v1 Announce Type: cross Abstract: Quantization-aware training (QAT) is essential for extremely low-bit large language models (LLMs). C…
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GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling
针对强化学习验证器数据需求难题，GeoMin用几何分布建模实现高效半监督学习，大幅降低标注成本
arXiv:2606.04516v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) significantly advances LLM reasoning, yet it f…
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A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM$\Delta$ Integration into Upcycled MoE
提出一种数据高效的多语言LLM扩展方法，通过后训练将PARAMΔ集成到升级MoE中，仅需少量目标语言文本即可显著提升性能。
arXiv:2605.18083v1 Announce Type: new Abstract: Expanding Large Language Models~(LLMs) to new languages is a costly endeavor, demanding extensive Cont…