🧑‍🔬 Makesh Narsimhan Sreedhar

🏛️ Affiliations

🎓University of Wisconsin–MadisonMadison · United States2022–2025 · 12 papers🎓Koneru Lakshmaiah Education FoundationVijayawada · India2020–2021 · 2 papers

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. HelpSteer2: Open-source dataset for training top-performing reward models (2024 · 82 citations)
   Reward models that steer LLMs toward human-preferred outputs need good preference data. Openly licensed collections such as HH-RLHF, Open Assistant and HelpSteer have aged, and sets distilled from GPT-4 and similar proprietary systems carry commercial-use restrictions. The NVIDIA authors address this gap with…
2. HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM (2024 · 72 citations)
   Open helpfulness preference datasets usually give only an overall rating or a pairwise ranking. They do not say why one answer is better, so trained models can pick up shallow cues, such as preferring longer replies whether or not they are useful. The NVIDIA team built HelpSteer to address this. It is a…
3. AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails (2025 · 53 citations)
   Content moderation for LLMs needs openly licensed, human-labeled training data that covers many kinds of harm.

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. NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · no summary yetTraian Rebedea et al.2023 · 199 citations
2. HelpSteer2: Open-source dataset for training top-performing reward modelsarXiv:2406.08673Zhilin Wang, Yi Dong, Olivier Delalleau, et al.2024 · 82 citations
3. HelpSteer: Multi-attribute Helpfulness Dataset for SteerLMConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zhilin Wang, Yi Dong, Jiaqi Zeng, et al.2024 · 72 citations
4. AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM GuardrailsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Shaona Ghosh, Prasoon Varshney, Makesh Narsimhan Sreedhar, et al.2025 · 53 citations

🤝 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

• Daniel Egert ×2
• Jiaqi Zeng ×2
• Oleksii Kuchaiev ×2
• Olivier Delalleau ×2
• Yi Dong ×2
• Zhilin Wang ×2
• Aidan Swope
• Aishwarya Padmakumar
• Gerald Shen
• Neel Kant
• Shaona Ghosh
• Traian Rebedea

Venues

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

• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) ×2: NAACL 2025, NAACL 2024
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

🔗 Cited by

Papers of our library cite their works 531 times (of the 149,439 papers whose bibliographies we read); 131 citing papers with a page here →.

Updated 2 November 2026

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