🧑‍🔬 Syeda Nahida Akter

🏛️ Affiliations

🎓Carnegie Mellon UniversityPittsburgh · United States2023–2026 · 8 paperscurrent🎓Boston UniversityBoston · United States2024–2026 · 3 paperscurrent🏢NvidiaSanta Clara · United States2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. MIND: Math Informed syNthetic Dialogues for Pretraining LLMs (2024 · 11 citations)
   Large language models still struggle with multi-step mathematical reasoning. Earlier synthetic pretraining data, mostly rephrased web text, tends to change surface form without adding the stepwise explanations such tasks need. The authors introduce MIND, a pipeline that gives an open LLM a math-related web document…
2. Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning (2026 · 9 citations)
   Reinforcement learning (RL) has improved LLM reasoning mainly in math and code, where answers can be checked automatically.
3. Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data (2025 · 6 citations)
   Most work on LLM reasoning adds reasoning-heavy data only after pretraining. It has been unclear whether introducing such data earlier helps, or whether it causes overfitting that later stages must undo. The authors present what they describe as the first systematic, token-controlled comparison of placing reasoning…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. An In-depth Look at Gemini's Language Abilities ↗arXiv (Cornell University) · no summary yetSyeda Nahida Akter et al.2023 · 30 citations
2. MIND: Math Informed syNthetic Dialogues for Pretraining LLMsarXiv:2410.12881Syeda Nahida Akter, Shrimai Prabhumoye, John Kamalu, et al.2024 · 11 citations
3. Nemotron-CrossThink: Scaling Self-Learning beyond Math ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Syeda Nahida Akter, Shrimai Prabhumoye, Matvei Novikov, et al.2026 · 9 citations
4. Front-Loading Reasoning: The Synergy between Pretraining and Post-Training DataarXiv:2510.03264Syeda Nahida Akter, Shrimai Prabhumoye, Eric Nyberg, et al.2025 · 6 citations

🤝 Co-authors here

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

• Bryan Catanzaro ×3
• Eric Nyberg ×3
• Mohammad Shoeybi ×3
• Mostofa Patwary ×3
• Shrimai Prabhumoye ×3
• Yejin Choi ×2
• Evelina Bakhturina
• Sanjeev Satheesh
• Seungju Han
• Ying Lin

Venues

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

• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026

🔗 Cited by

Papers of our library cite their works 223 times (of the 149,439 papers whose bibliographies we read); 65 citing papers with a page here →.

Updated 3 November 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/syeda-nahida-akter/