Training strategy, namely whether to retrain from scratch or fine-tune from the previous checkpoint, is an overlooked de…

Tokenizer 的工作机制：BPE 分词、上下文窗口与计费逻辑

We study how model post-training and test-time inference design affect natural-language proof generation for hard olympi…

Reinforcement Learning with Verifiable Rewards (RLVR) has been central to the recent success of Large Reasoning Models. …

Large language models used for code editing can be trained and deployed in at least two output regimes: direct generatio…

Many recurring text functions are easy to describe but difficult to implement with rules, while calling a large remote m…

大语言模型的基本原理、发展脉络与能力边界总览

从零微调 GPT-2 的完整流程：数据准备、训练与效果评估