Abdullah Mohammad
Abdullah Mohammad has 2 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Ebad Shabbir, Gautam Siddharth Kashyap, Rafiq Ali.
OpenAlex · h-index 0 · 8 works · 0 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #10864
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksSafety Research · 1 workSocial Sciences · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksBias, fairness & safety · 1 work
Works by year
2020s
Papers
- Do Large Language Models Reflect Demographic Pluralism in Safety? (2026 · 3 citations)
Safety judgments about LLM outputs differ across communities, yet widely used alignment resources such as ANTHROPIC-HH and DICES draw on narrow annotator pools. - Are Large Language Models Economically Viable for Industry Deployment? (2026)
Industry teams choosing an LLM must weigh energy, latency, hardware use and cost, but common benchmarks report mostly accuracy.
Co-authors here
- Ebad Shabbir ×2
- Gautam Siddharth Kashyap ×2
- Rafiq Ali ×2
- Sushant Kumar Ray ×2
- Usman Naseem ×2
- Jiechao Gao
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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