Gal Yona

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 31

Top Topics

Unlabeled Instances

Confidence Measures

Pac Learnability

Top Venues

Publications

Gal Yona, Roee Aharoni, Mor Geva
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers. ACL (1) (2024)
Gal Yona, Roee Aharoni, Mor Geva
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? CoRR (2024)
Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? CoRR (2024)
Gal Yona, Roee Aharoni, Mor Geva
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers. CoRR (2024)
Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon
Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds. ICLR (2023)
Guy N. Rothblum, Gal Yona
Decision-Making Under Miscalibration. ITCS (2023)
Gal Yona, Or Honovich, Itay Laish, Roee Aharoni
Surfacing Biases in Large Language Models using Contrastive Input Decoding. CoRR (2023)
Gal Yona, Amir Feder, Itay Laish
Useful Confidence Measures: Beyond the Max Score. CoRR (2022)
Gal Yona, Shay Moran, Gal Elidan, Amir Globerson
Active learning with label comparisons. UAI (2022)
Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona
Beyond Bernoulli: Generating Random Outcomes that cannot be Distinguished from Nature. ALT (2022)
Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon
Malign Overfitting: Interpolation Can Provably Preclude Invariance. CoRR (2022)
Gal Yona, Shay Moran, Gal Elidan, Amir Globerson
Active Learning with Label Comparisons. CoRR (2022)
Guy N. Rothblum, Gal Yona
Decision-Making under Miscalibration. CoRR (2022)
Gili Karni, Guy N. Rothblum, Gal Yona
On Fairness and Stability in Two-Sided Matchings. ITCS (2022)
Guy N. Rothblum, Gal Yona
Multi-group Agnostic PAC Learnability. CoRR (2021)
Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona
Outcome indistinguishability. STOC (2021)
Guy N. Rothblum, Gal Yona
Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification. CoRR (2021)
Gili Karni, Guy N. Rothblum, Gal Yona
On Fairness and Stability in Two-Sided Matchings. CoRR (2021)
Gal Yona, Daniel Greenfeld
Revisiting Sanity Checks for Saliency Maps. CoRR (2021)
Noam Barda, Gal Yona, Guy N. Rothblum, Philip Greenland, Morton Leibowitz, Ran D. Balicer, Eitan Bachmat, Noa Dagan
Addressing bias in prediction models by improving subpopulation calibration. J. Am. Medical Informatics Assoc. 28 (3) (2021)
Gal Yona, Amirata Ghorbani, James Zou
Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data. AIES (2021)
Guy N. Rothblum, Gal Yona
Multi-group Agnostic PAC Learnability. ICML (2021)
Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona
Preference-Informed Fairness. ITCS (2020)
Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona
Preference-informed fairness. FAT* (2020)
Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona
Outcome Indistinguishability. Electron. Colloquium Comput. Complex. 27 (2020)
Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona
Outcome Indistinguishability. CoRR (2020)
Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona
Preference-Informed Fairness. CoRR (2019)
Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona
Learning from Outcomes: Evidence-Based Rankings. FOCS (2019)
Gal Yona, Amirata Ghorbani, James Y. Zou
Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data. CoRR (2019)
Guy N. Rothblum, Gal Yona
Probably Approximately Metric-Fair Learning. CoRR (2018)
Gal Yona, Guy N. Rothblum
Probably Approximately Metric-Fair Learning. ICML (2018)