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researcher

Prakash Murugesan

1 paper hereh-index 1120 citations1 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedAnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model

7 citations · 7 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 7 cited

AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model

Seungwhan Moon, Andrea Madotto, Zhaojiang Lin +10

We present Any-Modality Augmented Language Model (AnyMAL), a unified model that reasons over diverse input modality signals (i.e. text, image, video, audio, IMU motion sensor), and…

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