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Kristina Toutanova

4 papers hereh-index 358 citations5 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.CL1
  • cs.LG1
same name
  • Kristina Toutanova — 25 papers, h 48
  • Kristina Toutanova — 2 papers, h 3
  • Kristina Toutanova — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedTaming CLIP for Fine-grained and Structured Visual Understanding of Museum Exhibits

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2024

BgGPT 1.0: Extending English-centric LLMs to other languages

Anton Alexandrov, Veselin Raychev, Dimitar I. Dimitrov +3

We present BgGPT-Gemma-2-27B-Instruct and BgGPT-Gemma-2-9B-Instruct: continually pretrained and fine-tuned versions of Google's Gemma-2 models, specifically optimized for Bulgarian…

cs.CV2024

Understanding Museum Exhibits using Vision-Language Reasoning

Ada-Astrid Balauca, Sanjana Garai, Stefan Balauca +8

Museums serve as repositories of cultural heritage and historical artifacts from diverse epochs, civilizations, and regions, preserving well-documented collections that encapsulate…

cs.CV2024★ 1 cited

Taming CLIP for Fine-grained and Structured Visual Understanding of Museum Exhibits

Ada-Astrid Balauca, Danda Pani Paudel, Kristina Toutanova +1

CLIP is a powerful and widely used tool for understanding images in the context of natural language descriptions to perform nuanced tasks. However, it does not offer application-sp…

cs.LG2024

Mitigating Catastrophic Forgetting in Language Transfer via Model Merging

Anton Alexandrov, Veselin Raychev, Mark Niklas Müller +3

As open-weight large language models (LLMs) achieve ever more impressive performances across a wide range of tasks in English, practitioners aim to adapt these models to different…

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