← Search

Kelvin Niu

3 accepted papers

2025

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench

NeurIPS 2025spotlight

AI research agents are demonstrating great potential to accelerate scientific progress by automating the design, implementation, and training of machine learning models. We focus on methods for improving agents' performance on MLE-bench, a challenging benchmark where agents compete in Kaggle competi…

Cited by 0SourcecodeScholar
2025

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements

NeurIPS 2025poster

Rapidly improving large language models (LLMs) have the potential to assist in scientific progress. One critical skill in this endeavor is the ability to faithfully reproduce existing work. To evaluate the capability of AI agents to reproduce complex code in an active research area, we introduce the…

Cited by 0SourcecodeScholar
2024

M2BART: Multilingual and Multimodal Encoder-Decoder Pre-Training for Any-to-Any Machine Translation

ICASSP 2024accepted

Speech and language models are advancing towards universality. A single model can now handle translations across 200 languages and transcriptions for over 100 languages. Universal models simplify development, deployment, and importantly, transfer knowledge to less-resourced languages or modes. This…

Cited by 0SourceScholar