Ness, Robert Osazuwa

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Nori, H., Lee, Y. T., Zhang, S., Carignan, D., Edgar, R., Fusi, N., King, N., Larson, J., Li, Y., Liu, W., et al. (2023) · arXiv

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 178

From local to global: a graph rag approach to query-focused summarization

Edge, D., Trinh, H., Cheng, N., Bradley, J., Chao, A., Mody, A., Truitt, S., Metropolitansky, D., Ness, R. O., & Larson, J. (2024) · arXiv

Space Exploration and TechnologyUsability and User Interface Design

Cited by 159

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval

Momennejad, I., Hasanbeig, H., Frujeri, F. V., Sharma, H., Jojic, N., Palangi, H., Ness, R., & Larson, J. (2023) · Advances in Neural Information Processing Systems 36

Topic ModelingAI-based Problem Solving and Planning

Cited by 27

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval

Momennejad, I., Hasanbeig, H., Vieira, F., Sharma, H., Ness, R. O., Jojic, N., Palangi, H., & Larson, J. (2023) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 27

MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering

Ness, R. O., Matton, K., Helm, H., Zhang, S., Bajwa, J., Priebe, C. E., & Horvitz, E. (2024) · arXiv

Adversarial Robustness in Machine LearningArtificial Intelligence in Healthcare and Education

Cited by 12

Walk the talk? Measuring the faithfulness of large language model explanations

Matton, K., Ness, R. O., Guttag, J., & Kıcıman, E. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 1