Han Fang

Han Fang has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Reasoning; often with Barlas Oguz, Cheng Cheng, Jingyu Liu.

2 papers in our library · 2023–2024

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Topics

The most cited first (OpenAlex and our library).

Effective Long-Context Scaling of Foundation Models (2023 · 177 citations)
In 2023, strong long-input handling was mostly available through proprietary APIs. Earlier open attempts to extend context were usually judged only by perplexity or synthetic probes, and they often lost quality on short tasks. This Meta paper introduces Llama 2 Long, a family of 7B–70B models built by continuing to…
Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes On (2024 · 14 citations)
The paper asks whether strong mathematical reasoning really requires very large models, and whether supervised fine-tuning (SFT) only changes output style.

12 of 16 co-authors with a page, the most papers together first.

Papers of our library cite their works 182 times (of the 140,884 papers whose bibliographies we read); 27 citing papers with a page here →.