Greg Durrett
UT Austin CS · Adjunct Associate Professor
Research focus: natural language processing · large language model reasoning · question answering · information retrieval
保护项目 4 的初步审核：构建基于保护项目 0、保护项目 5 的推理、保护项目 3、保护项目 1、检索、保护项目 2 的模型架构，并引用一个可见的项目、实验室主题、招募信号、校友/安置模式、资金/项目信号或发表领域，并提出一个具体的第一学期扩展。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: natural language processing · large language model reasoning).
- Industry research or startup/translation paths appeal to you (meaningful share in public outcomes).
- Applicants should show NLP/LLM reasoning work with rigorous evaluation, retrieval/factuality/QA depth, and enough implementation maturity to match the lab’s placement into both faculty tracks and indu
- 你想把 ML 接到真实数据与落地问题（当前信号：natural language processing · large language model reasoning）。
- 工业研究或创业/转化路径对你有吸引力（公开去向里占比不低）。
- 申请人应展示具有严谨评估、检索与事实核查的深度推理工作，并具备足够的实现成熟度以匹配实验室在教职与行业研究两个层面的定位。
What to watch for / 什么情况下要慎重
- You want pure theory ML with little domain data or cross-disciplinary collaboration.
- Faculty-only is your sole goal and you want zero industry/translation exposure.
- 你要的是纯理论 ML、几乎不碰领域数据或跨学科合作。
- 你把「教职为唯一目标」且完全不想碰工业/转化网络。
Public evidence as of 2026-06-10
These are decision-support signals compiled from public evidence (faculty pages, publications, lab sites) to help you ask better questions — not a ranking, rating, or allegation about this advisor. / 以上为基于公开信息整理的择校参考，帮助你提出更好的问题，并非排名、评分或对该导师的指控。
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