Makesh Narsimhan Sreedhar

According to our database, Makesh Narsimhan Sreedhar authored at least 20 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Pluralistic Behavior Suite: Stress-Testing Multi-Turn Adherence to Custom Behavioral Policies.

Prasoon Varshney, Makesh Narsimhan Sreedhar, Liwei Jiang, Traian Rebedea, Christopher Parisien

CoRR, November, 2025

Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training.

Mingjie Liu, Shizhe Diao, Jian Hu, Ximing Lu, Xin Dong, Hao Zhang, Alexander Bukharin, Shaokun Zhang, Jiaqi Zeng, Makesh Narsimhan Sreedhar, Gerald Shen, David Mosallanezhad, Di Zhang, Jonas Yang, June Yang, Oleksii Kuchaiev, Guilin Liu, Zhiding Yu, Pavlo Molchanov, Yejin Choi, Jan Kautz, Yi Dong

CoRR, July, 2025

AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails.

Shaona Ghosh, Prasoon Varshney, Makesh Narsimhan Sreedhar, Aishwarya Padmakumar, Traian Rebedea, Jibin Rajan Varghese, Christopher Parisien

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Safety Through Reasoning: An Empirical Study of Reasoning Guardrail Models.

Makesh Narsimhan Sreedhar, Traian Rebedea, Christopher Parisien

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications.

Traian Rebedea, Leon Derczynski, Shaona Ghosh, Makesh Narsimhan Sreedhar, Faeze Brahman, Liwei Jiang, Bo Li, Yulia Tsvetkov, Christopher Parisien, Yejin Choi

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts), 2025

2024

HelpSteer2: Open-source dataset for training top-performing reward models.

Zhilin Wang, Yi Dong, Olivier Delalleau, Jiaqi Zeng, Gerald Shen, Daniel Egert, Jimmy J. Zhang, Makesh Narsimhan Sreedhar, Oleksii Kuchaiev

CoRR, 2024

CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues.

Makesh Narsimhan Sreedhar, Traian Rebedea, Shaona Ghosh, Christopher Parisien

CoRR, 2024

HelpSteer 2: Open-source dataset for training top-performing reward models.

Zhilin Wang, Yi Dong, Olivier Delalleau, Jiaqi Zeng, Gerald Shen, Daniel Egert, Jimmy Zhang, Makesh Narsimhan Sreedhar, Oleksii Kuchaiev

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM.

Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Unsupervised Extraction of Dialogue Policies from Conversations.

Makesh Narsimhan Sreedhar, Traian Rebedea, Christopher Parisien

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues.

Makesh Narsimhan Sreedhar, Traian Rebedea, Shaona Ghosh, Jiaqi Zeng, Christopher Parisien

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Evolving Domain Adaptation of Pretrained Language Models for Text Classification.

Yun-Shiuan Chuang, Yi Wu, Dhruv Gupta, Rheeya Uppaal, Ananya Kumar, Luhang Sun, Makesh Narsimhan Sreedhar, Sijia Yang, Timothy T. Rogers, Junjie Hu

CoRR, 2023

NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails.

Traian Rebedea, Razvan Dinu, Makesh Narsimhan Sreedhar, Christopher Parisien, Jonathan Cohen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF.

Yi Dong, Zhilin Wang, Makesh Narsimhan Sreedhar, Xianchao Wu, Oleksii Kuchaiev

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Local Byte Fusion for Neural Machine Translation.

Makesh Narsimhan Sreedhar, Xiangpeng Wan, Yu Cheng, Junjie Hu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Single Sequence Prediction over Reasoning Graphs for Multi-hop QA.

Gowtham Ramesh, Makesh Narsimhan Sreedhar, Junjie Hu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Prompt Learning for Domain Adaptation in Task-Oriented Dialogue.

Makesh Narsimhan Sreedhar, Christopher Parisien

CoRR, 2022

2020

Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback.

Makesh Narsimhan Sreedhar, Kun Ni, Siva Reddy

CoRR, 2020

Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation.

Victor Schmidt, Makesh Narsimhan Sreedhar, Mostafa ElAraby, Irina Rish

CoRR, 2020

You could have said that instead: Improving Chatbots with Natural Language Feedback.

Makesh Narsimhan Sreedhar, Kun Ni, Siva Reddy

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020