| Nemo guardrails: A toolkit for controllable and safe llm applications with programmable rails T Rebedea, R Dinu, M Sreedhar, C Parisien, J Cohen Published at EMNLP 2023, 2023 | 287 | 2023 |
| HelpSteer2: Open-source dataset for training top-performing reward models Z Wang, Y Dong, O Delalleau, J Zeng, G Shen, D Egert, JJ Zhang, ... Published at NeurIPS Dataset and Benchmark Track 2024, 2024 | 189 | 2024 |
| Nemotron-4 340b technical report B Adler, N Agarwal, A Aithal, DH Anh, P Bhattacharya, A Brundyn, ... arXiv preprint arXiv:2406.11704, 2024 | 159 | 2024 |
| Helpsteer: Multi-attribute helpfulness dataset for steerlm Z Wang, Y Dong, J Zeng, V Adams, MN Sreedhar, D Egert, O Delalleau, ... Published at NAACL 2024, 2023 | 141 | 2023 |
| Steerlm: Attribute conditioned sft as an (user-steerable) alternative to rlhf Y Dong, Z Wang, MN Sreedhar, X Wu, O Kuchaiev Published at EMNLP 2023, 2023 | 97 | 2023 |
| Llama-nemotron: Efficient reasoning models A Bercovich, I Levy, I Golan, M Dabbah, R El-Yaniv, O Puny, I Galil, ... arXiv preprint arXiv:2505.00949, 2025 | 70* | 2025 |
| AEGIS2. 0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails S Ghosh, P Varshney, MN Sreedhar, A Padmakumar, T Rebedea, ... Published at NAACL 2025, 2025 | 55 | 2025 |
| Nemotron-h: A family of accurate and efficient hybrid mamba-transformer models A Blakeman, A Basant, A Khattar, A Renduchintala, A Bercovich, A Ficek, ... arXiv preprint arXiv:2504.03624, 2025 | 31 | 2025 |
| Nvidia nemotron nano 2: An accurate and efficient hybrid mamba-transformer reasoning model A Basant, A Khairnar, A Paithankar, A Khattar, A Renduchintala, A Malte, ... arXiv preprint arXiv:2508.14444, 2025 | 16 | 2025 |
| Local byte fusion for neural machine translation MN Sreedhar, X Wan, Y Cheng, J Hu Published at ACL 2023, 2022 | 14 | 2022 |
| CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues MN Sreedhar, T Rebedea, S Ghosh, C Parisien Published at EMNLP 2024, 2024 | 13* | 2024 |
| The cost of compression: Investigating the impact of compression on parametric knowledge in language models SSS Namburi, M Sreedhar, S Srinivasan, F Sala Published at EMNLP 2023, 2023 | 13 | 2023 |
| Scaling up rl: Unlocking diverse reasoning in llms via prolonged training M Liu, S Diao, J Hu, X Lu, X Dong, H Zhang, A Bukharin, S Zhang, J Zeng, ... arXiv preprint arXiv:2507.12507, 2025 | 12 | 2025 |
| Single Sequence Prediction over Reasoning Graphs for Multi-hop QA G Ramesh*, M Sreedhar*, J Hu Published at ACL 2023, 2023 | 12 | 2023 |
| Learning improvised chatbots from adversarial modifications of natural language feedback MN Sreedhar, K Ni, S Reddy Published at EMNLP 2020, 2020 | 12* | 2020 |
| Prompt Learning for Domain Adaptation in Task-Oriented Dialogue MN Sreedhar, C Parisien Published at Towards Semi-Supervised and Reinforced Task-Oriented Dialog …, 2022 | 6 | 2022 |
| Unsupervised Extraction of Dialogue Policies from Conversations MN Sreedhar, T Rebedea, C Parisien Published at EMNLP 2024, 2024 | 5 | 2024 |
| Safety Through Reasoning: An Empirical Study of Reasoning Guardrail Models MN Sreedhar, T Rebedea, C Parisien Accepted for publication at Findings of EMNLP 2025, 2025 | 4 | 2025 |
| Evolving domain adaptation of pretrained language models for text classification YS Chuang, Y Wu, D Gupta, R Uppaal, A Kumar, L Sun, MN Sreedhar, ... Published in Workshop on Distribution Shifts: New Frontiers with Foundation …, 2023 | 4* | 2023 |
| Towards lifelong self-supervision for unpaired image-to-image translation V Schmidt, MN Sreedhar, M ElAraby, I Rish arXiv preprint arXiv:2004.00161, 2020 | 4 | 2020 |
Siva ReddyMcGill University, Mila Quebec AI InstituteVerified email at cs.mcgill.ca
