Zelalem Gero

Senior Researcher

出版物

表示方法:

- CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation
  
  Alyssa Unell, Noel Codella, Sam Preston, Peniel Argaw, Wen-wai Yim, Zelalem Gero, Cliff Wong, Rajesh Jena, Eric Horvitz, Amanda K. Hall, Ruican Rachel Zhong, Jiachen Li, Shrey Jain, Mu Wei, Matthew P Lungren, Hoifung Poon
  
  September 2025
  
  Publication
- Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
  
  Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- A whole-slide foundation model for digital pathology from real-world data
  
  Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Nature | May 2024
  
  Publication DOI Publication
- TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  
  Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon
  
  ArXiv | November 2023, 巻abs/2311.01301
  
  DOI Publication Publication
- Self-Verification Improves Few-Shot Clinical Information Extraction
  
  Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
  
  May 2023
  
  Publication

- CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation
  
  Alyssa Unell, Noel Codella, Sam Preston, Peniel Argaw, Wen-wai Yim, Zelalem Gero, Cliff Wong, Rajesh Jena, Eric Horvitz, Amanda K. Hall, Ruican Rachel Zhong, Jiachen Li, Shrey Jain, Mu Wei, Matthew P Lungren, Hoifung Poon
  
  September 2025
  
  Publication
- Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
  
  Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- A whole-slide foundation model for digital pathology from real-world data
  
  Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Nature | May 2024
  
  Publication DOI Publication
- TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  
  Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon
  
  ArXiv | November 2023, 巻abs/2311.01301
  
  DOI Publication Publication
- Self-Verification Improves Few-Shot Clinical Information Extraction
  
  Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
  
  May 2023
  
  Publication
- CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation
  
  Alyssa Unell, Noel Codella, Sam Preston, Peniel Argaw, Wen-wai Yim, Zelalem Gero, Cliff Wong, Rajesh Jena, Eric Horvitz, Amanda K. Hall, Ruican Rachel Zhong, Jiachen Li, Shrey Jain, Mu Wei, Matthew P Lungren, Hoifung Poon
  
  September 2025
  
  Publication
- Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
  
  Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- A whole-slide foundation model for digital pathology from real-world data
  
  Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Nature | May 2024
  
  Publication DOI Publication
- TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  
  Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon
  
  ArXiv | November 2023, 巻abs/2311.01301
  
  DOI Publication Publication
- Self-Verification Improves Few-Shot Clinical Information Extraction
  
  Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
  
  May 2023
  
  Publication

- CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation
  
  Alyssa Unell, Noel Codella, Sam Preston, Peniel Argaw, Wen-wai Yim, Zelalem Gero, Cliff Wong, Rajesh Jena, Eric Horvitz, Amanda K. Hall, Ruican Rachel Zhong, Jiachen Li, Shrey Jain, Mu Wei, Matthew P Lungren, Hoifung Poon
  
  September 2025
  
  Publication
- Self-Verification Improves Few-Shot Clinical Information Extraction
  
  Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
  
  May 2023
  
  Publication
- A whole-slide foundation model for digital pathology from real-world data
  
  Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Nature | May 2024
  
  Publication DOI Publication
- TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  
  Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon
  
  ArXiv | November 2023, 巻abs/2311.01301
  
  DOI Publication Publication
- Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
  
  Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication

Zelalem Gero

出版物

CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries

A whole-slide foundation model for digital pathology from real-world data

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

Self-Verification Improves Few-Shot Clinical Information Extraction

CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries

A whole-slide foundation model for digital pathology from real-world data

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

Self-Verification Improves Few-Shot Clinical Information Extraction

CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries

A whole-slide foundation model for digital pathology from real-world data

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

Self-Verification Improves Few-Shot Clinical Information Extraction

CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation

Self-Verification Improves Few-Shot Clinical Information Extraction

A whole-slide foundation model for digital pathology from real-world data

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries

お問い合わせ Zelalem Gero

Microsoft Health Futures