Robert Osazuwa Ness

Senior Researcher

论文与出版物

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- Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
  
  Katie Matton, Robert Osazuwa Ness, John Guttag, Emre Kiciman
  
  2025 International Conference on Learning Representations | April 2025
  
  Publication
- Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
  
  Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
  
  Transactions on Machine Learning Research (TMLR) | August 2024
  
  Outstanding Certification Finalist
  
  Selected for presentation at ICLR 2025
  
  Publication Preprint 项目
- MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering
  
  Robert Osazuwa Ness, Hayden Helm, Katie Matton, Sheng Zhang, Junaid Bajwa, Carey E. Priebe, Eric Horvitz
  
  June 2024
  
  Publication
- From Local to Global: A Graph RAG Approach to Query-Focused Summarization
  
  Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Dasha Metropolitansky, Robert Osazuwa Ness, Jonathan Larson
  
  April 2024
  
  Preprint 项目
- Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
  
  Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz
  
  November 2023
  
  Publication
- Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
  
  Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
  
  NeurIPS 2023 | October 2023
  
  Publication Publication
- Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science
  
  Somya Sharma, Swati Sharma, Licheng Liu, Rishabh Tushir, Andy Neal, Robert Osazuwa Ness, J. Crawford, Emre Kiciman, Ranveer Chandra
  
  ArXiv | June 2023, 第 abs/2306.09302 卷
  
  DOI Publication Publication Publication
- A Causal AI Suite for Decision-Making
  
  Emre Kiciman, Eleanor Dillon, Darren Edge, Adam Foster, Agrin Hilmkil, Joel Jennings, Chao Ma, Robert Osazuwa Ness, Nick Pawlowski, Amit Sharma, Cheng Zhang
  
  NeurIPS 2022 Workshop on Causality for Real-world Impact | December 2022
  
  Publication 项目项目项目

- Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
  
  Katie Matton, Robert Osazuwa Ness, John Guttag, Emre Kiciman
  
  2025 International Conference on Learning Representations | April 2025
  
  Publication
- Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
  
  Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
  
  Transactions on Machine Learning Research (TMLR) | August 2024
  
  Outstanding Certification Finalist
  
  Selected for presentation at ICLR 2025
  
  Publication Preprint 项目
- MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering
  
  Robert Osazuwa Ness, Hayden Helm, Katie Matton, Sheng Zhang, Junaid Bajwa, Carey E. Priebe, Eric Horvitz
  
  June 2024
  
  Publication
- From Local to Global: A Graph RAG Approach to Query-Focused Summarization
  
  Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Dasha Metropolitansky, Robert Osazuwa Ness, Jonathan Larson
  
  April 2024
  
  Preprint 项目
- Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
  
  Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz
  
  November 2023
  
  Publication
- Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
  
  Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
  
  NeurIPS 2023 | October 2023
  
  Publication Publication
- Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science
  
  Somya Sharma, Swati Sharma, Licheng Liu, Rishabh Tushir, Andy Neal, Robert Osazuwa Ness, J. Crawford, Emre Kiciman, Ranveer Chandra
  
  ArXiv | June 2023, 第 abs/2306.09302 卷
  
  DOI Publication Publication Publication
- A Causal AI Suite for Decision-Making
  
  Emre Kiciman, Eleanor Dillon, Darren Edge, Adam Foster, Agrin Hilmkil, Joel Jennings, Chao Ma, Robert Osazuwa Ness, Nick Pawlowski, Amit Sharma, Cheng Zhang
  
  NeurIPS 2022 Workshop on Causality for Real-world Impact | December 2022
  
  Publication 项目项目项目
- From Local to Global: A Graph RAG Approach to Query-Focused Summarization
  
  Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Dasha Metropolitansky, Robert Osazuwa Ness, Jonathan Larson
  
  April 2024
  
  Preprint 项目
- Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
  
  Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
  
  NeurIPS 2023 | October 2023
  
  Publication Publication
- Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
  
  Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz
  
  November 2023
  
  Publication

- Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
  
  Katie Matton, Robert Osazuwa Ness, John Guttag, Emre Kiciman
  
  2025 International Conference on Learning Representations | April 2025
  
  Publication
- Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
  
  Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
  
  NeurIPS 2023 | October 2023
  
  Publication Publication
- A Causal AI Suite for Decision-Making
  
  Emre Kiciman, Eleanor Dillon, Darren Edge, Adam Foster, Agrin Hilmkil, Joel Jennings, Chao Ma, Robert Osazuwa Ness, Nick Pawlowski, Amit Sharma, Cheng Zhang
  
  NeurIPS 2022 Workshop on Causality for Real-world Impact | December 2022
  
  Publication 项目项目项目
- Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
  
  Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
  
  Transactions on Machine Learning Research (TMLR) | August 2024
  
  Outstanding Certification Finalist
  
  Selected for presentation at ICLR 2025
  
  Publication Preprint 项目
- Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science
  
  Somya Sharma, Swati Sharma, Licheng Liu, Rishabh Tushir, Andy Neal, Robert Osazuwa Ness, J. Crawford, Emre Kiciman, Ranveer Chandra
  
  ArXiv | June 2023, 第 abs/2306.09302 卷
  
  DOI Publication Publication Publication
- MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering
  
  Robert Osazuwa Ness, Hayden Helm, Katie Matton, Sheng Zhang, Junaid Bajwa, Carey E. Priebe, Eric Horvitz
  
  June 2024
  
  Publication
- From Local to Global: A Graph RAG Approach to Query-Focused Summarization
  
  Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Dasha Metropolitansky, Robert Osazuwa Ness, Jonathan Larson
  
  April 2024
  
  Preprint 项目
- Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
  
  Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz
  
  November 2023
  
  Publication

Robert Osazuwa Ness

论文与出版物

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

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

From Local to Global: A Graph RAG Approach to Query-Focused Summarization

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

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval

Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science

A Causal AI Suite for Decision-Making

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

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

From Local to Global: A Graph RAG Approach to Query-Focused Summarization

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

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval

Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science

A Causal AI Suite for Decision-Making

From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval

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

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval

A Causal AI Suite for Decision-Making

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science

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

From Local to Global: A Graph RAG Approach to Query-Focused Summarization

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

联系 Robert Osazuwa Ness

Microsoft Research Lab – Redmond