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researcher

Lena Strobl

5 papers hereh-index 4177 citations6 works total

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

author position
  • sole author1
  • first author3
  • middle author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CL1
  • cs.FL1

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedAverage-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.LG2023

What Formal Languages Can Transformers Express? A Survey

Lena Strobl, William Merrill, Gail Weiss +2

As transformers have gained prominence in natural language processing, some researchers have investigated theoretically what problems they can and cannot solve, by treating problem…

cs.CL2023★ 2 cited

Average-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits

Lena Strobl

Transformers have emerged as a widely used neural network model for various natural language processing tasks. Previous research explored their relationship with constant-depth thr…

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