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Decomposing how prompting steers behavior
arXiv论文揭秘提示词如何无参数更新地引导模型行为，揭示背后机制
arXiv:2606.03093v1 Announce Type: new Abstract: Prompting steers large language models (LLMs) and vision-language models (VLMs) without weight updates…
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The Missing Piece in Pre-trained Model Evaluation: Reward-Guided Decoding Unlocks Task-Oriented Behavior Without Parameter Updates
提出奖励引导解码框架，让预训练模型无需参数更新即可激发面向任务行为，补齐评估环节的缺失拼图。
arXiv:2605.28020v1 Announce Type: new Abstract: With the rapid progress of large language models (LLMs), reliably evaluating the capabilities of pre-t…
3
DP-SelFT: Differentially Private Selective Fine-Tuning for Large Language Models
差分隐私+选择性微调，为大模型训练数据保护提供新方案。
arXiv:2605.17432v1 Announce Type: new Abstract: Large language models (LLMs) are commonly adapted to downstream tasks through fine-tuning, but fine-tu…