An Incremental Bayesian Model for Learning Syntactic Categories. - Christopher Parisien; Afsaneh Fazly; Suzanne Stevenson (CoNLL, 2008)

Robosemantics: How Stanley the Volkswagen Represents the World. - Christopher Parisien; Paul Thagard (Minds Mach., 2008)

Solving the Problem of Negative Synaptic Weights in Cortical Models. - Christopher Parisien; Charles H. Anderson; Chris Eliasmith (Neural Comput., 2008)

Incorporating Coercive Constructions into a Verb Lexicon. - Claire Bonial; Susan Windisch Brown; Jena D. Hwang; Christopher Parisien; Martha Palmer; Suzanne Stevenson (RELMS@ACL, 2011)

Generalizing between form and meaning using learned verb classes. - Christopher Parisien; Suzanne Stevenson (CogSci, 2011)

Hierarchical Bayesian Models of Verb Learning in Children. - Christopher Parisien (2012)

GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records. - Xi Yang 015; Nima M. Pournejatian; Hoo Chang Shin; Kaleb E. Smith; Christopher Parisien; Colin Compas; Cheryl Martin 002; Mona G. Flores; Ying Zhang; Tanja Magoc; Christopher A. Harle; Gloria P. Lipori; et al. (CoRR, 2022)

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

A large language model for electronic health records. - Xi Yang 015; Aokun Chen; Nima M. Pournejatian; Hoo Chang Shin; Kaleb E. Smith; Christopher Parisien; Colin Compas; Cheryl Martin 002; Anthony B. Costa; Mona G. Flores; Ying Zhang; Tanja Magoc; et al. (npj Digit. Medicine, 2022)

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)

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)

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

AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts. - Shaona Ghosh; Prasoon Varshney; Erick Galinkin; Christopher Parisien (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)

Towards Inference-time Category-wise Safety Steering for Large Language Models. - Amrita Bhattacharjee; Shaona Ghosh; Traian Rebedea; Christopher Parisien (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)

SafeSteer: Interpretable Safety Steering with Refusal-Evasion in LLMs. - Shaona Ghosh; Amrita Bhattacharjee; Yftah Ziser; Christopher Parisien (CoRR, 2025)

NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model. - Aarti Basant; Abhijit Khairnar; Abhijit Paithankar; Abhinav Khattar; Adithya Renduchintala; Aditya Malte; Akhiad Bercovich; Akshay Hazare; Alejandra Rico; Aleksander Ficek; Alex Kondratenko; Alex Shaposhnikov; et al. (CoRR, 2025)