Mukul Ranjan
Mukul Ranjan has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Zhiqiang Shen, Ahmed Heakl, Fahad Shahbaz Khan.
OpenAlex · ORCID · h-index 4 · 20 works · 71 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 13 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #9024
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 5Research subjects and languages the work is about.Evaluation & benchmarks · 1 workSemitic languages · 1 workLanguage models & pretraining · 1 workReasoning · 1 workVision & language · 1 work
Works by year
2020s
Papers
- KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding (2025 · 21 citations)
Arabic OCR trails English OCR. The script is cursive and written right to left, and its typography is rich. Existing Arabic datasets mostly cover isolated handwriting or printed lines, not full document understanding. KITAB-Bench fills this gap with 8,809 evaluation samples spread over 9 major tasks and 36… - On the Cultural Anachronism and Temporal Reasoning in Vision Language Models (2026)
Vision-language models are increasingly used in museums, digital archives and educational tools. The authors point to a failure they call cultural anachronism: a model explains a historical object through concepts, materials, techniques or cultural frames from the wrong era. To measure it, they built TAB-VLM, a…
All works
- An evaluation of Google Translate for Sanskrit to English translation via sentiment and semantic analysis ↗arXiv:2303.07201 · no summary yetAkshat Shukla et al.2023 · 24 citations
- KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document UnderstandingFindings of the Association for Computational LinguisticsAhmed Heakl, Muhammad Abdullah Sohail, Mukul Ranjan, et al.2025 · 21 citations
- On the Cultural Anachronism and Temporal Reasoning in Vision Language ModelsFindings of the Association for Computational LinguisticsMukul Ranjan, Prince Jha, Khushboo Kumari, et al.2026
- Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark ↗arXiv (Cornell University) · no summary yetSondos Mahmoud Bsharat et al.2025
Co-authors here
Venues
- Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026, Findings of the Association for Computational Linguistics 2025
Cited by
Updated
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