Makesh Narsimhan Sreedhar

According to our database, Makesh Narsimhan Sreedhar authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 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

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

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