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Daouda Sow

9 papers hereh-index 6169 citations14 works total

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

author position
  • first author6
  • middle author3

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

fields
  • cs.LG6
  • math.OC2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedTake the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization

3 citations · 9 across the 8 of their papers we have counts for

collaborators
Showing 2025Show all

1 paper · 1 filter

cs.LG2025★ 1 cited

Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining

Daouda Sow, Herbert Woisetschläger, Saikiran Bulusu +3

Pretraining large language models (LLMs) on vast and heterogeneous datasets is crucial for achieving state-of-the-art performance across diverse downstream tasks. However, current…

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