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researcher

Megan Wei

Massachusetts Institute of Technology

9 papers hereh-index 4120 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.SD3
  • cs.AI2
  • cs.CV1
affiliations
  • Massachusetts Institute of Technology
Homepage

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedStructured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks

14 citations · 19 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.SD2024

Do Music Generation Models Encode Music Theory?

Megan Wei, Michael Freeman, Chris Donahue +1

Music foundation models possess impressive music generation capabilities. When people compose music, they may infuse their understanding of music into their work, by using notes an…

cs.SD2024★ 1 cited

Prevailing Research Areas for Music AI in the Era of Foundation Models

Megan Wei, Mateusz Modrzejewski, Aswin Sivaraman +1

Parallel to rapid advancements in foundation model research, the past few years have witnessed a surge in music AI applications. As AI-generated and AI-augmented music become incre…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.