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researcher

Muhammad Uzair Ul Haq

2 papers hereh-index 211 citations2 works total

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedLLMs as Data Annotators: How Close Are We to Human Performance

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.AI2026

Fast, Cheap, and Fair? Evaluating Decision Models

Muhammad Uzair Ul Haq, Davide Rigoni, Alessandro Sperduti +1

Industries are increasingly adopting AI-driven systems to automate a wide range of tasks, including high-stakes decisions in human resources, such as candidate screening and recrui…

cs.CL2025★ 2 cited

LLMs as Data Annotators: How Close Are We to Human Performance

Muhammad Uzair Ul Haq, Davide Rigoni, Alessandro Sperduti

In NLP, fine-tuning LLMs is effective for various applications but requires high-quality annotated data. However, manual annotation of data is labor-intensive, time-consuming, and…

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