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researcher

Saksham Singhal

Microsoft

15 papers hereh-index 153.7k citations22 works total

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

author position
  • middle author14

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CL13
  • cs.CV1
  • cs.LG1
affiliations
  • Microsoft
  • Carnegie Mellon University

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedLanguage Is Not All You Need: Aligning Perception with Language Models

164 citations · 550 across the 15 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CL2022★ 3 cited

Beyond English-Centric Bitexts for Better Multilingual Language Representation Learning

Barun Patra, Saksham Singhal, Shaohan Huang +5

In this paper, we elaborate upon recipes for building multilingual representation models that are not only competitive with existing state-of-the-art models but are also more param…

cs.LG2022★ 13 cited

Foundation Transformers

Hongyu Wang, Shuming Ma, Shaohan Huang +12

A big convergence of model architectures across language, vision, speech, and multimodal is emerging. However, under the same name "Transformers", the above areas use different imp…

cs.CV2022★ 151 cited

Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks

Wenhui Wang, Hangbo Bao, Li Dong +8

A big convergence of language, vision, and multimodal pretraining is emerging. In this work, we introduce a general-purpose multimodal foundation model BEiT-3, which achieves state…

cs.CL2022★ 17 cited

On the Representation Collapse of Sparse Mixture of Experts

Zewen Chi, Li Dong, Shaohan Huang +9

Sparse mixture of experts provides larger model capacity while requiring a constant computational overhead. It employs the routing mechanism to distribute input tokens to the best-…

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