Makesh Narsimhan Sreedhar

According to our database, Makesh Narsimhan Sreedhar authored at least 17 papers between 2020 and 2025.

Collaborative distances:

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

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

CoRR, January, 2025

2024

Nemotron-4 340B Technical Report.

Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang, Vivienne Zhang, Yian Zhang, Chen Zhu

CoRR, 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 38: 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