| 2025 | ACL | Confidence Improves Self-Consistency in LLMs. | Amir Taubenfeld, Tom Sheffer, Eran Ofek, Amir Feder, Ariel Goldstein, Zorik Gekhman, Gal Yona |
| 2025 | CVPR | Pathways on the Image Manifold: Image Editing via Video Generation. | Noam Rotstein, Gal Yona, Daniel Silver, Roy Velich, David Bensad, Ron Kimmel |
| 2025 | EMNLP | MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs. | Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, Idan Szpektor, Tim G. J. Rudner, Arman Cohan |
| 2025 | NAACL | Keep Guessing? When Considering Inference Scaling, Mind the Baselines. | Gal Yona, Or Honovich, Omer Levy, Roee Aharoni |
| 2024 | ACL | Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers. | Gal Yona, Roee Aharoni, Mor Geva |
| 2024 | EMNLP | Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? | Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig |
| 2024 | EMNLP | Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? | Gal Yona, Roee Aharoni, Mor Geva |
| 2023 | ICLR | Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds. | Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon |
| 2022 | ALT | Beyond Bernoulli: Generating Random Outcomes that cannot be Distinguished from Nature. | Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona |
| 2022 | UAI | Active learning with label comparisons. | Gal Yona, Shay Moran, Gal Elidan, Amir Globerson |
| 2021 | AIES | Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data. | Gal Yona, Amirata Ghorbani, James Zou |
| 2021 | ICML | Multi-group Agnostic PAC Learnability. | Guy N. Rothblum, Gal Yona |
| 2021 | STOC | Outcome indistinguishability. | Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona |
| 2019 | FOCS | Learning from Outcomes: Evidence-Based Rankings. | Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona |
| 2018 | ICML | Probably Approximately Metric-Fair Learning. | Gal Yona, Guy N. Rothblum |