Gal Yona - RankMe

45 papers A* 9A 4B 1C 1Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality. CoRR Nitay Calderon, Eyal Ben-David, Zorik Gekhman, Eran Ofek, Gal Yona
2025	—	`conf`	Confidence Improves Self-Consistency in LLMs. ACL (Findings) Amir Taubenfeld, Tom Sheffer, Eran Ofek, Amir Feder, Ariel Goldstein, Zorik Gekhman, Gal Yona
2025	J	`jnl`	Confidence Improves Self-Consistency in LLMs. CoRR Amir Taubenfeld, Tom Sheffer, Eran Ofek, Amir Feder, Ariel Goldstein, Zorik Gekhman, Gal Yona
2025	—	`conf`	Keep Guessing? When Considering Inference Scaling, Mind the Baselines. NAACL (Findings) Gal Yona, Or Honovich, Omer Levy, Roee Aharoni
2025	A*	`conf`	MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs. EMNLP Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, Idan Szpektor, Tim G. J. Rudner, Arman Cohan
2025	J	`jnl`	MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs. CoRR Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, Idan Szpektor, Tim G. J. Rudner, Arman Cohan
2025	J	`jnl`	Neural Descriptors: Self-Supervised Learning of Robust Local Surface Descriptors Using Polynomial Patches. CoRR Gal Yona, Roy Velich, Ron Kimmel, Ehud Rivlin
2025	—	`conf`	Neural Descriptors: Self-supervised Learning of Robust Local Surface Descriptors Using Polynomial Patches. SSVM (2) Gal Yona, Roy Velich, Ehud Rivlin, Ron Kimmel
2025	A*	`conf`	Pathways on the Image Manifold: Image Editing via Video Generation. CVPR Noam Rotstein, Gal Yona, Daniel Silver, Roy Velich, David Bensaïd, Ron Kimmel
2025	J	`jnl`	SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge. CoRR Lukas Haas, Gal Yona, Giovanni D'Antonio, Sasha Goldshtein, Dipanjan Das
2024	A*	`conf`	Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? EMNLP Gal Yona, Roee Aharoni, Mor Geva
2024	J	`jnl`	Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? CoRR Gal Yona, Roee Aharoni, Mor Geva
2024	A*	`conf`	Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? EMNLP Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig
2024	J	`jnl`	Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? CoRR Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig
2024	J	`jnl`	Keep Guessing? When Considering Inference Scaling, Mind the Baselines. CoRR Gal Yona, Or Honovich, Omer Levy, Roee Aharoni
2024	—	`conf`	Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers. ACL (1) Gal Yona, Roee Aharoni, Mor Geva
2024	J	`jnl`	Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers. CoRR Gal Yona, Roee Aharoni, Mor Geva
2024	J	`jnl`	Pathways on the Image Manifold: Image Editing via Video Generation. CoRR Noam Rotstein, Gal Yona, Daniel Silver, Roy Velich, David Bensaïd, Ron Kimmel
2023	A	`conf`	Decision-Making Under Miscalibration. ITCS Guy N. Rothblum, Gal Yona
2023	A*	`conf`	Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds. ICLR Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon
2023	J	`jnl`	Surfacing Biases in Large Language Models using Contrastive Input Decoding. CoRR Gal Yona, Or Honovich, Itay Laish, Roee Aharoni
2022	J	`jnl`	Active Learning with Label Comparisons. CoRR Gal Yona, Shay Moran, Gal Elidan, Amir Globerson
2022	A	`conf`	Active learning with label comparisons. UAI Gal Yona, Shay Moran, Gal Elidan, Amir Globerson
2022	B	`conf`	Beyond Bernoulli: Generating Random Outcomes that cannot be Distinguished from Nature. ALT Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona
2022	J	`jnl`	Decision-Making under Miscalibration. CoRR Guy N. Rothblum, Gal Yona
2022	J	`jnl`	Malign Overfitting: Interpolation Can Provably Preclude Invariance. CoRR Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon
2022	A	`conf`	On Fairness and Stability in Two-Sided Matchings. ITCS Gili Karni, Guy N. Rothblum, Gal Yona
2022	J	`jnl`	Useful Confidence Measures: Beyond the Max Score. CoRR Gal Yona, Amir Feder, Itay Laish
2021	J	`jnl`	Addressing bias in prediction models by improving subpopulation calibration. J. Am. Medical Informatics Assoc. Noam Barda, Gal Yona, Guy N. Rothblum, Philip Greenland, Morton Leibowitz, Ran D. Balicer, Eitan Bachmat, Noa Dagan
2021	J	`jnl`	Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification. CoRR Guy N. Rothblum, Gal Yona
2021	A*	`conf`	Multi-group Agnostic PAC Learnability. ICML Guy N. Rothblum, Gal Yona
2021	J	`jnl`	Multi-group Agnostic PAC Learnability. CoRR Guy N. Rothblum, Gal Yona
2021	J	`jnl`	On Fairness and Stability in Two-Sided Matchings. CoRR Gili Karni, Guy N. Rothblum, Gal Yona
2021	A*	`conf`	Outcome indistinguishability. STOC Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona
2021	J	`jnl`	Revisiting Sanity Checks for Saliency Maps. CoRR Gal Yona, Daniel Greenfeld
2021	C	`conf`	Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data. AIES Gal Yona, Amirata Ghorbani, James Zou
2020	J	`jnl`	Outcome Indistinguishability. CoRR Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona
2020	J	`jnl`	Outcome Indistinguishability. Electron. Colloquium Comput. Complex. Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona
2020	A	`conf`	Preference-Informed Fairness. ITCS Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona
2020	—	`conf`	Preference-informed fairness. FAT* Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona
2019	A*	`conf`	Learning from Outcomes: Evidence-Based Rankings. FOCS Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona
2019	J	`jnl`	Preference-Informed Fairness. CoRR Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona
2019	J	`jnl`	Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data. CoRR Gal Yona, Amirata Ghorbani, James Y. Zou
2018	A*	`conf`	Probably Approximately Metric-Fair Learning. ICML Gal Yona, Guy N. Rothblum
2018	J	`jnl`	Probably Approximately Metric-Fair Learning. CoRR Guy N. Rothblum, Gal Yona