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Rafet Sifa

2 papers on this site · 2022–2023

current affiliationUniversity of Bonn, Bonn, Germany; Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany; Bonn Aachen International Center for Information Technology, Bonn, Germany; Lamarr Institute for Machine Learning and Artificial Intelligence, Sankt Augustin

Rafet Sifa has 2 papers on this site, in 2022–2023, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Hannaneh Hajishirzi, Jack Hessel, Prithviraj Ammanabrolu.

OpenAlex · ORCID · h-index 27 · 227 works · 2 464 citations OpenAlex, 2026-10-14

2 works on this site · 198 citations in our library · 4 more works in our library

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

Topics

Language models & pretraining1Evaluation & benchmarks1Reasoning1Semitic languages1

Papers

The most cited first (OpenAlex and our library).

  1. Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization (2022 · 166 citations)
    The paper asks whether reinforcement learning is a practical way to align pre-trained language models with human preferences.
  2. Improving Natural Language Inference in Arabic using Transformer Models and Linguistically Informed Pre-Training (2023 · 2 citations)
    Arabic has few labelled resources for Natural Language Inference (NLI), the task of judging whether a hypothesis is entailed by, neutral to, or contradicted by a premise.

Also in our library

4 more works of theirs are in our library without a page here yet; they will appear as we publish them.

Co-authors here

4 co-authors with a page, the most papers together first.

Cited by

Papers of our library cite their works 198 times (of the 140 884 papers whose bibliographies we read); 22 citing papers with a page here →.

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