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

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

2 November 2023
Javier González
Cliff Wong
Zelalem Gero
Jass Bagga
Risa Ueno
Isabel Chien
Eduard Orakvin
Emre Kiciman
Aditya V. Nori
R. Weerasinghe
R. Leidner
B. Piening
Tristan Naumann
Carlo Bifulco
Hoifung Poon
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Papers citing "TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models"

2 / 2 papers shown
Title
LLM-Match: An Open-Sourced Patient Matching Model Based on Large Language Models and Retrieval-Augmented Generation
LLM-Match: An Open-Sourced Patient Matching Model Based on Large Language Models and Retrieval-Augmented Generation
X. Li
Shaika Chowdhury
Chung Il Wi
Maria Vassilaki
Ken Liu
...
Owen Garrick
Young J Juhn
James R Cerhan
Cui Tao
Nansu Zong
LM&MA
54
0
0
17 Mar 2025
Reasoning Elicitation in Language Models via Counterfactual Feedback
Reasoning Elicitation in Language Models via Counterfactual Feedback
Alihan Hüyük
Xinnuo Xu
Jacqueline Maasch
Aditya V. Nori
Javier González
ReLM
LRM
134
1
0
02 Oct 2024
1