Scholar
Grace Liu
Google Scholar ID: ehLi__8AAAAJ
Machine Learning PhD student, Carnegie Mellon University
Citations & Impact
Citations
15
H-index
2
i10-index
1
Publications
8
Co-authors
0
Publications
Resume
Academic Achievements
- Publications:
- - CaRT: Teaching LLM Agents to Know When They Know Enough
- - Demystifying the Mechanisms Behind Emergent Exploration in Goal-conditioned RL
- - A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
- - Binary Climate Visuals Heighten Perceived Impact of Climate Change
- Supported by the NSF GRFP fellowship.
Research Experience
- Closely works with Rachit Dubey and Benjamin Eysenbach on research projects.
Education
- Currently a second-year PhD student in the MLD department at CMU, advised by Aarti Singh and Jeff Schneider. Undergrad and Master's at Princeton, advised by Tom Griffiths and Gabe Vecchi.
Background
- Research interests include making RL and LLM agents more efficient, reliable, and interpretable. Also interested in the challenges and opportunities of human-AI collaboration at both the individual (cognitive) and societal scale.
Miscellany
- Social media: GitHub