Prof. Nihar Shah — Research Profile
Carnegie Mellon University · Computer Science Department
About
Prof. Nihar Shah at Carnegie Mellon University Computer Science Department lists Artificial Intelligence, Theory, Machine Learning as their registered research area.
Research keywords
Recent papers
- The more you automate, the less you see: Hidden pitfalls of autonomous AI scientistsProceedings of the National Academy of Sciences · Oct 5
- greCAPTCHA: Assessing Understanding as Evidence of Research Authorship Under Generative AIPreprintarXiv (Cornell University) · Sep 17
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Scientific Computing and Data Management
Sanmi Koyejo 교수 연구실
Stanford University · Computer Science
A Few Pages of Markdown: Committed AI Configuration and Lower Quality Cost after Coding-Agent AdoptionPreprintarXiv (Cornell University) · Aug 26Photonic Systems Laboratory
University of Illinois Urbana-Champaign · Electrical and Computer Engineering
Raven: From Scientific Data to Trustworthy Autonomous DiscoveryZenodo (CERN European Organization for Nuclear Research) · Sep 14Sara Beery 교수 연구실
Massachusetts Institute of Technology · Department of Electrical Engineering and Computer Science
Scrub Data: A Framework for Reproducible Data Curation with AI Coding AgentsPreprintbioRxiv (Cold Spring Harbor Laboratory) · Sep 23
Other labs in this department
- Aayush Jain 교수 연구실
Theory, Cryptography
- Aditi Raghunathan 교수 연구실
Artificial Intelligence, Machine Learning
- Andrew Pavlo 교수 연구실
Systems, Databases, Distributed Systems
- Aviral Kumar 교수 연구실
Artificial Intelligence, Machine Learning, Robotics
- Chris Donahue 교수 연구실
Artificial Intelligence, Machine Learning
- Christos Faloutsos 교수 연구실
Artificial Intelligence, Systems, Databases, Data Mining