Author

Tingshuo Fan

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#artificial intelligence Preprint Sep 2026

Looped GPT-BERT: Trading Parameters for Computation in Small Language Modeling

When training data are limited, increasing parameter count is not the only way to improve language-model performance. A small parameter set, when repeatedly applied, can also deliver comparable performance. We study Looped GPT-BERT in the BabyLM 2026 Strict-small setting, combining GPT-BERT's masked next-token and caus...

Tingshuo Fan, Hong-Tao Mu, Tian-Yun Zhou et al. · 0 citations

Jul 2026

AgentHPOBench: A Benchmark For Evaluating LLM Agents as Sequential Hyperparameter Optimizers

AgentHPOBench, a sequential benchmark comprising 30 executable machine learning tasks across seven research categories, shows that current agents exhibit measurable experimental optimization ability across domains, but still face clear limitations in sustained iterative refinement, complex log diagnosis, and consistent...

Tianyu Huai, Tingshuo Fan, Xinchi Chen et al. · arXiv.org · 0 citations