Rakesh Verma
Rakesh Verma has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Sentiment & emotion, Semitic languages.
OpenAlex · ORCID · Wikidata · h-index 25 · 196 works · 2,382 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 4 citations in our library · 2 more in our library without a page yet · ⭐ Paper Star rank #6434
Affiliations
🎓University of HoustonHouston ·
United States1992–2026 · 152 papers🎓Stony Brook UniversityStony Brook ·
United States1986–2005 · 5 papers🎓State University of New YorkAlbany ·
United States1987–1989 · 2 papers
Concepts, shelves and topics
📚 Shelves 4 Artificial Intelligence · 2 works Computer Science · 2 works Arts and Humanities · 1 work Language and Linguistics · 1 work
🧭 Topics 3 Language models & pretraining · 1 work Semitic languages · 1 work Sentiment & emotion · 1 work
Works by year
2020s
Papers
- Orthographic Constraint Satisfaction and Human Difficulty Alignment in Large Language Models (2026)
The paper examines how well large language models follow strict letter-level rules during generation, a setting where fluent-sounding output is not enough. - Homograph Attacks on Maghreb Sentiment Analyzers (2024)
The paper tests how fragile fine-tuned sentiment classifiers for North-African (Maghreb) Arabic dialects are when input text contains Unicode look-alike characters.
All works
- DetectiveRedasers at ArAIEval Shared Task: Leveraging Transformer Ensembles for Arabic Deception Detection (original ↗)Bryan Tuck et al.2023 · Proceedings of ArabicNLP 2023 · 5 citations · no summary yet
- ReDASPersuasion at ArAIEval Shared Task: Multilingual and Monolingual Models For Arabic Persuasion Detection (original ↗)Fatima Zahra Qachfar, Rakesh Verma2023 · Proceedings of ArabicNLP 2023 · 4 citations · no summary yet
- Homograph Attacks on Maghreb Sentiment AnalyzersFatima Zahra Qachfar, Rakesh M. VermaarXiv:2402.03171
Venues
- Proceedings of ArabicNLP 2023 ×2
- Language Resources and Evaluation Conference (LREC): 2026
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/rakesh-verma/