Makesh Narsimhan Sreedhar

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Digital Signal Processors

Natural Language

Brazilian Portuguese

Machine Transliteration

Top Venues

EMNLP (Findings)

Publications

Makesh Narsimhan Sreedhar, Traian Rebedea, Shaona Ghosh, Christopher Parisien
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues. CoRR (2024)
Makesh Narsimhan Sreedhar, Traian Rebedea, Christopher Parisien
Unsupervised Extraction of Dialogue Policies from Conversations. CoRR (2024)
Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. NAACL-HLT (2024)
Zhilin Wang, Yi Dong, Olivier Delalleau, Jiaqi Zeng, Gerald Shen, Daniel Egert, Jimmy J. Zhang, Makesh Narsimhan Sreedhar, Oleksii Kuchaiev
HelpSteer2: Open-source dataset for training top-performing reward models. CoRR (2024)
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
Nemotron-4 340B Technical Report. CoRR (2024)
Traian Rebedea, Razvan Dinu, Makesh Narsimhan Sreedhar, Christopher Parisien, Jonathan Cohen
NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails. CoRR (2023)
Traian Rebedea, Razvan Dinu, Makesh Narsimhan Sreedhar, Christopher Parisien, Jonathan Cohen
NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails. EMNLP (Demos) (2023)
Yi Dong, Zhilin Wang, Makesh Narsimhan Sreedhar, Xianchao Wu, Oleksii Kuchaiev
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF. EMNLP (Findings) (2023)
Gowtham Ramesh, Makesh Narsimhan Sreedhar, Junjie Hu
Single Sequence Prediction over Reasoning Graphs for Multi-hop QA. ACL (1) (2023)
Yi Dong, Zhilin Wang, Makesh Narsimhan Sreedhar, Xianchao Wu, Oleksii Kuchaiev
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF. CoRR (2023)
Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. CoRR (2023)
Yun-Shiuan Chuang, Yi Wu, Dhruv Gupta, Rheeya Uppaal, Ananya Kumar, Luhang Sun, Makesh Narsimhan Sreedhar, Sijia Yang, Timothy T. Rogers, Junjie Hu
Evolving Domain Adaptation of Pretrained Language Models for Text Classification. CoRR (2023)
Makesh Narsimhan Sreedhar, Xiangpeng Wan, Yu Cheng, Junjie Hu
Local Byte Fusion for Neural Machine Translation. ACL (1) (2023)
Gowtham Ramesh, Makesh Narsimhan Sreedhar, Junjie Hu
Single Sequence Prediction over Reasoning Graphs for Multi-hop QA. CoRR (2023)
Makesh Narsimhan Sreedhar, Christopher Parisien
Prompt Learning for Domain Adaptation in Task-Oriented Dialogue. CoRR (2022)
Makesh Narsimhan Sreedhar, Xiangpeng Wan, Yu Cheng, Junjie Hu
Local Byte Fusion for Neural Machine Translation. CoRR (2022)
Makesh Narsimhan Sreedhar, Kun Ni, Siva Reddy
You could have said that instead: Improving Chatbots with Natural Language Feedback. EMNLP (Findings) (2020)
Victor Schmidt, Makesh Narsimhan Sreedhar, Mostafa ElAraby, Irina Rish
Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation. CoRR (2020)
Makesh Narsimhan Sreedhar, Kun Ni, Siva Reddy
Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback. CoRR (2020)