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Bhiksha Raj

Bhiksha Raj has 2 papers in our library, in 2024, most of them on Language models & pretraining, Semitic languages; often with Abdul Waheed, Hanin Atwany, Hao Chen.

2 papers in our library · 2024

OpenAlex · ORCID · h-index 45 · 450 works · 12,203 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 100 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #8035

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

🎓Carnegie Mellon UniversityPittsburgh · United States1996–2026 · 288 papersEducation · PhD, Electrical and Computer EngineeringEmployment since 2008 · Professor, Language Technologies Institutecurrent🏢Mitsubishi Electric Research LaboratoriesCambridge · United States2002–2009 · 41 papers🎓Mohamed bin Zayed University of Artificial IntelligenceAbu Dhabi · United Arab Emirates2022–2025 · 29 papers🏢Mitsubishi ElectricCypress · United States2003–2009 · 13 papers🔬Instituto de Engenharia de Sistemas e Computadores Investigação e DesenvolvimentoLisbon · Portugal2011–2021 · 5 papers🏢Walt DisneyBurbank · United States2010–2011 · 3 papers🎓University of North Carolina at Chapel HillChapel Hill · United States2024 · 2 papers🎓Georgia Institute of TechnologyAtlanta · United States2010–2018 · 2 papers

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.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workSemitic languages · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. On the Diversity of Synthetic Data and its Impact on Training Large Language Models (2024 · 35 citations)
    Synthetic text is increasingly used to supplement scarce high-quality pre-training data for LLMs. However, it is unclear which properties of such data drive model quality, and there is no reliable way to measure diversity in particular. The authors (CMU, Microsoft Research and partners) propose LLM Cluster-agent. In…
  2. OSACT 2024 Task 2: Arabic Dialect to MSA Translation (2024 · 7 citations)
    This paper describes a system for the OSACT 2024 shared task on translating Arabic dialects into Modern Standard Arabic (MSA).

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. SphereFace: Deep Hypersphere Embedding for Face Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetWeiyang Liu et al.2017 · 3,073 citations
  2. Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZhenzhong Lan et al.2015 · 275 citations
  3. Contrast and Order Representations for Video Self-supervised Learning ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetKai Hu et al.2021 · 58 citations
  4. On the Diversity of Synthetic Data and its Impact on Training Large Language ModelsarXiv:2410.15226Hao Chen, Abdul Waheed, Xiang Li, et al.2024 · 35 citations
  5. OSACT 2024 Task 2: Arabic Dialect to MSA TranslationWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksHanin Atwany, Nour Rabih, Ibrahim Mohammed, et al.2024 · 7 citations

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 100 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

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