You could have said that instead: Improving Chatbots with Natural Language Feedback. - Makesh Narsimhan Sreedhar; Kun Ni; Siva Reddy (EMNLP (Findings), 2020)

Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation. - Victor Schmidt; Makesh Narsimhan Sreedhar; Mostafa ElAraby; Irina Rish (CoRR, 2020)

Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback. - Makesh Narsimhan Sreedhar; Kun Ni; Siva Reddy (CoRR, 2020)

Prompt Learning for Domain Adaptation in Task-Oriented Dialogue. - Makesh Narsimhan Sreedhar; Christopher Parisien (CoRR, 2022)

Single Sequence Prediction over Reasoning Graphs for Multi-hop QA. - Gowtham Ramesh; Makesh Narsimhan Sreedhar; Junjie Hu (ACL (1), 2023)

Local Byte Fusion for Neural Machine Translation. - Makesh Narsimhan Sreedhar; Xiangpeng Wan; Yu Cheng; Junjie Hu (ACL (1), 2023)

SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF. - Yi Dong; Zhilin Wang; Makesh Narsimhan Sreedhar; Xianchao Wu; Oleksii Kuchaiev (EMNLP (Findings), 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 (EMNLP (Demos), 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 001 (CoRR, 2023)

CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues. - Makesh Narsimhan Sreedhar; Traian Rebedea; Shaona Ghosh; Jiaqi Zeng; Christopher Parisien (EMNLP (Findings), 2024)

Unsupervised Extraction of Dialogue Policies from Conversations. - Makesh Narsimhan Sreedhar; Traian Rebedea; Christopher Parisien (EMNLP, 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 (NAACL-HLT, 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 (NeurIPS, 2024)

CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues. - Makesh Narsimhan Sreedhar; Traian Rebedea; Shaona Ghosh; Christopher Parisien (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)

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; et al. (CoRR, 2024)

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 (NAACL (Long Papers), 2025)

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. - Aaron Blakeman; Aarti Basant; Abhinav Khattar; Adithya Renduchintala; Akhiad Bercovich; Aleksander Ficek; Alexis Bjorlin; Ali Taghibakhshi; Amala Sanjay Deshmukh; Ameya Sunil Mahabaleshwarkar; Andrew Tao; Anna Shors; et al. (CoRR, 2025)

Safety Through Reasoning: An Empirical Study of Reasoning Guardrail Models. - Makesh Narsimhan Sreedhar; Traian Rebedea; Christopher Parisien (CoRR, 2025)

Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training. - Mingjie Liu; Shizhe Diao; Jian Hu; Ximing Lu; Xin Dong 009; Hao Zhang 097; Alexander Bukharin; Shaokun Zhang; Jiaqi Zeng; Makesh Narsimhan Sreedhar; Gerald Shen; David Mosallanezhad; et al. (CoRR, 2025)