Angie Boggust
Scholar

Angie Boggust

Google Scholar ID: pQd1HSK5lzEC
Massachusetts Institute of Technology
Citations & Impact
All-time
Citations
658
 
H-index
8
 
i10-index
8
 
Publications
17
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Publications: 'Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language', 'Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships', etc.; Awards: Outstanding Paper Award at ACL 2023; Honors: MIT John Jarve Fellowship, Apple Scholars in AI/ML PhD Fellowship.
Research Experience
  • During her PhD at MIT, interned at Apple Research with Fred Hohman and IBM Research with Hendrik Strobelt.
Education
  • PhD: MIT CSAIL, Advisor: Arvind Satyanarayan; SB and MEng: MIT, Advisors: Jim Glass and David Harwath.
Background
  • Research Interests: Improving human-AI alignment by designing systems that reveal model representations and methods to shift them toward human expectations. Field: HCI + AI.
Miscellany
  • Personal Interests: Not specified
Co-authors
0 total
Co-authors: 0 (list not available)