Research Directions
The group may support research projects on LLM theory, evaluation, verification, post-training, reasoning, agentic behavior, OPD, and AI for quantitative research.
- Post-training harness design and evaluation.
- Verifier-guided reasoning and process supervision.
- OPD and large-scale industry-verified post-training practice.
- Connections between learning theory and LLM behavior.
- Empirical replications of frontier industrial model reports.
- LLM methods for quantitative research and decision-making.
Contribution Model
The group is currently led by Crystal Zhang. Research leadership, authorship, and credit should follow actual intellectual contribution and standard academic practice.
If no faculty supervisor or clearly dominant contributor is involved, contributors should be treated as equal contributors. The default culture is learning-first, research-serious, and contribution-aware.