5 papers
DeepImagine: Clinical Trial Outcome Prediction via Stepwise Local Counterfactual Imaginations
Youze Zheng, Jianyou Wang, Yuhan Chen +8
Predicting the outcomes of prospective clinical trials remains a major challenge. Clinical trial outcomes result from complex interactions among experimental factors such as drug i…
CT Open: An Open-Access, Uncontaminated, Live Platform for the Open Challenge of Clinical Trial Outcome Prediction
Jianyou Wang, Youze Zheng, Longtian Bao +11
Scientists have long sought to accurately predict outcomes of real-world events before they happen. Can AI systems do so more reliably? We study this question through clinical tria…
EvidenceBench: A Benchmark for Extracting Evidence from Biomedical Papers
Jianyou Wang, Weili Cao, Kaicheng Wang +13
We study the task of automatically finding evidence relevant to hypotheses in biomedical papers. Finding relevant evidence is an important step when researchers investigate scienti…
Using Reasoning Models to Generate Search Heuristics that Solve Open Instances of Combinatorial Design Problems
Christopher D. Rosin
Large Language Models (LLMs) with reasoning are trained to iteratively generate and refine their answers before finalizing them, which can help with applications to mathematics and…
Using Code Generation to Solve Open Instances of Combinatorial Design Problems
Christopher D. Rosin
The Handbook of Combinatorial Designs catalogs many types of combinatorial designs, together with lists of open instances for which existence has not yet been determined. We develo…