Research

Towards rigorous, reliable, and capable AI scientists

AI-generated research can read as convincing while being wrong or impossible to reproduce. We build the infrastructure that makes an AI scientist trustworthy in what it claims, auditable in how it got there, and guided by real taste for what is worth discovering.

  1. arXiv2026

    Sci-Reasoning: A Dataset Decoding AI Innovation Patterns

    How do the best researchers actually arrive at their breakthroughs, and could an AI learn to do the same?

  2. ICLR2026

    EXP-Bench: Can AI Conduct AI Research Experiments?

    Today's agents can design and code an experiment, so why can almost none of them finish one?

  3. arXiv2025

    Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

    How do you make an AI scientist's experiments rigorous enough to trust the results?

AI-scientist work only · full publication list on amberljc.github.io.