A large language model for electronic health records von Yang, Xi, Chen, Aokun, PourNejatian, Nima, Shin, Hoo Chang, Smith, Kaleb E., Parisien, Christopher, Compas, Colin, Martin, Cheryl, Costa, Anthony B., Flores, Mona G., Zhang, Ying, Magoc, Tanja, Harle, Christopher A., Lipori, Gloria, Mitchell, Duane A., Hogan, William R., Shenkman, Elizabeth A., Bian, Jiang, Wu, Yonghui

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Solving the Problem of Negative Synaptic Weights in Cortical Models von Parisien, Christopher, Anderson, Charles H, Eliasmith, Chris

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Perspective-taking behavior as the probabilistic weighing of multiple domains von Heller, Daphna, Parisien, Christopher, Stevenson, Suzanne

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Robosemantics: How Stanley the Volkswagen Represents the World von Parisien, Christopher, Thagard, Paul

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Unsupervised Extraction of Dialogue Policies from Conversations von Sreedhar, Makesh Narsimhan, Rebedea, Traian, Parisien, Christopher

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Prompt Learning for Domain Adaptation in Task-Oriented Dialogue von Sreedhar, Makesh Narsimhan, Parisien, Christopher

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DATASET GENERATION USING LARGE LANGUAGE MODELS von Nagaraju, Divija, Parisien, Christopher

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Towards Inference-time Category-wise Safety Steering for Large Language Models von Bhattacharjee, Amrita, Ghosh, Shaona, Rebedea, Traian, Parisien, Christopher

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AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts von Ghosh, Shaona, Varshney, Prasoon, Galinkin, Erick, Parisien, Christopher

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NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails von Rebedea, Traian, Dinu, Razvan, Sreedhar, Makesh, Parisien, Christopher, Cohen, Jonathan

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GENERATING CANONICAL FORMS FOR TASK-ORIENTED DIALOGUE IN CONVERSATIONAL AI SYSTEMS AND APPLICATIONS von Sreedhar, Makesh Narsimhan, Parisien, Christopher

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Aegis2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails von Ghosh, Shaona, Varshney, Prasoon, Sreedhar, Makesh Narsimhan, Padmakumar, Aishwarya, Rebedea, Traian, Varghese, Jibin Rajan, Parisien, Christopher

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CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues von Sreedhar, Makesh Narsimhan, Rebedea, Traian, Ghosh, Shaona, Zeng, Jiaqi, Parisien, Christopher

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Unsupervised Extraction of Dialogue Policies from Conversations von Makesh Narsimhan Sreedhar, Rebedea, Traian, Parisien, Christopher

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Prompt Learning for Domain Adaptation in Task-Oriented Dialogue von Makesh Narsimhan Sreedhar, Parisien, Christopher

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Towards Inference-time Category-wise Safety Steering for Large Language Models von Bhattacharjee, Amrita, Ghosh, Shaona, Rebedea, Traian, Parisien, Christopher

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AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts von Ghosh, Shaona, Varshney, Prasoon, Galinkin, Erick, Parisien, Christopher

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NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails von Rebedea, Traian, Dinu, Razvan, Sreedhar, Makesh, Parisien, Christopher, Cohen, Jonathan

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RUNTIME ALIGNMENT OF LANGUAGE MODELS IN CONVERSATIONAL AI SYSTEMS AND APPLICATIONS von PARISIEN, Christopher Marc, COHEN, Jonathan Michael, DINU, Razvan, REBEDEA, Traian-Eugen

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GENERATING CANONICAL FORMS FOR TASK-ORIENTED DIALOGUE IN CONVERSATIONAL AI SYSTEMS AND APPLICATIONS von CHRISTOPHER PARISIEN, MAKESH NARSIMHAN SREEDHAR

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