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researcher

Navid Rekabsaz

4 papers here

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

author position
  • middle author1
  • last author3

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

fields
  • cs.CL2
  • cs.LG1
  • q-fin.ST1
ORCID 0000-0001-5764-8738
same name
  • Navid Rekabsaz — 12 papers, h 21

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 citedLeveraging Vision-Language Models for Granular Market Change Prediction

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

collaborators

4 papers

cs.LG2024

Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters

Shahed Masoudian, Cornelia Volaucnik, Markus Schedl +1

Bias mitigation of Language Models has been the topic of many studies with a recent focus on learning separate modules like adapters for on-demand debiasing. Besides optimizing for…

cs.CL2024

What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition

Carolin Holtermann, Markus Frohmann, Navid Rekabsaz +1

The knowledge encapsulated in a model is the core factor determining its final performance on downstream tasks. Much research in NLP has focused on efficient methods for storing an…

cs.CL2023

Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification

Nicolò Tamagnone, Selim Fekih, Ximena Contla +2

Accurate and rapid situation analysis during humanitarian crises is critical to delivering humanitarian aid efficiently and is fundamental to humanitarian imperatives and the Leave…

q-fin.ST2023★ 1 cited

Leveraging Vision-Language Models for Granular Market Change Prediction

Christopher Wimmer, Navid Rekabsaz

Predicting future direction of stock markets using the historical data has been a fundamental component in financial forecasting. This historical data contains the information of a…

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