1
2
CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection
从思维链角度优化评测集选择，用少量样本大幅降低LLM评估成本，解决冷启动难题。
arXiv:2608.00014v1 Announce Type: new Abstract: Evaluating Large Language Models (LLMs) incurs prohibitive computational overhead during continuous de…
3
MAGIC: Multimodal Alignment & Grounding-aware Instruction Coreset for Vision-Language Models
提出MAGIC方法，通过多模态对齐与接地感知的指令核心集，高效提升视觉语言模型训练效果。
arXiv:2605.26004v1 Announce Type: cross Abstract: Instruction tuning of large vision-language models (LVLMs) increasingly depends on massive multimoda…
4
Deterministic Coreset for Lp Subspace
首次提出确定性Lp子空间核心集的迭代算法，覆盖任意p∈[1,∞)的ε-子空间嵌入
arXiv:2601.00361v3 Announce Type: replace-cross Abstract: We introduce the first iterative algorithm for constructing a $\varepsilon$-coreset that gua…