Year

2026

Type(s)

Conference articles

Author(s)

Udari Madhushani Sehwag and Elaine Lau and Haniyeh Ehsani Oskouie and Shayan Shabihi and Erich Liang and Andrea Sarai Echeverria Toledo and Guillermo A. Mangialardi and Sergio Fonrouge and Ed-Yeremai Hernandez-Cardona and Paula Vergara and Utkarsh Tyagi and Chen Bo Calvin Zhang and Pavi Bhatter and Nicholas E. Johnson and Furong Huang and Ernesto Gabriel Hernández Montoya and Bing Liu

Source

In Forty-third International Conference on Machine Learning (ICML), 2026, 2026

Url

https://arxiv.org/abs/2604.10718

BibTeX

BibTeX

BibTeX

@inproceedings{sehwag2026scipredictllmspredict, title = {{SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences?}}, author = {Udari Madhushani Sehwag and Elaine Lau and Haniyeh Ehsani Oskouie and Shayan Shabihi and Erich Liang and Andrea Sarai Echeverria Toledo and Guillermo A. Mangialardi and Sergio Fonrouge and Ed-Yeremai Hernandez-Cardona and Paula Vergara and Utkarsh Tyagi and Chen Bo Calvin Zhang and Pavi Bhatter and Nicholas E. Johnson and Furong Huang and Ernesto Gabriel Hernández Montoya and Bing Liu}, booktitle = {Forty-third International Conference on Machine Learning (ICML), 2026}, year = {2026}, url = {https://arxiv.org/abs/2604.10718}, note = {<a class="pub-badge" href="https://arxiv.org/abs/2604.10718">arXiv</a> <a class="pub-badge" href="https://github.com/scaleapi/scipredict">Code</a>},