default search action
Gal Yona
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c15]Gal Yona, Roee Aharoni, Mor Geva:
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers. ACL (1) 2024: 6737-6751 - [c14]Gal Yona, Roee Aharoni, Mor Geva:
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? EMNLP 2024: 7752-7764 - [c13]Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig:
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? EMNLP 2024: 7765-7784 - [i18]Gal Yona, Roee Aharoni, Mor Geva
:
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers. CoRR abs/2401.04695 (2024) - [i17]Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig:
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? CoRR abs/2405.05904 (2024) - [i16]Gal Yona, Roee Aharoni, Mor Geva:
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? CoRR abs/2405.16908 (2024) - [i15]Gal Yona, Or Honovich, Omer Levy, Roee Aharoni:
Keep Guessing? When Considering Inference Scaling, Mind the Baselines. CoRR abs/2410.15466 (2024) - 2023
- [c12]Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon:
Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds. ICLR 2023 - [c11]Guy N. Rothblum, Gal Yona:
Decision-Making Under Miscalibration. ITCS 2023: 92:1-92:20 - [i14]Gal Yona, Or Honovich, Itay Laish, Roee Aharoni:
Surfacing Biases in Large Language Models using Contrastive Input Decoding. CoRR abs/2305.07378 (2023) - 2022
- [c10]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: 342-380 - [c9]Gili Karni, Guy N. Rothblum, Gal Yona:
On Fairness and Stability in Two-Sided Matchings. ITCS 2022: 92:1-92:17 - [c8]Gal Yona, Shay Moran, Gal Elidan, Amir Globerson:
Active learning with label comparisons. UAI 2022: 2289-2298 - [i13]Guy N. Rothblum, Gal Yona:
Decision-Making under Miscalibration. CoRR abs/2203.09852 (2022) - [i12]Gal Yona, Shay Moran, Gal Elidan, Amir Globerson:
Active Learning with Label Comparisons. CoRR abs/2204.04670 (2022) - [i11]Gal Yona, Amir Feder, Itay Laish:
Useful Confidence Measures: Beyond the Max Score. CoRR abs/2210.14070 (2022) - [i10]Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon:
Malign Overfitting: Interpolation Can Provably Preclude Invariance. CoRR abs/2211.15724 (2022) - 2021
- [j1]Noam Barda
Addressing bias in prediction models by improving subpopulation calibration. J. Am. Medical Informatics Assoc. 28(3): 549-558 (2021) - [c7]Gal Yona, Amirata Ghorbani, James Zou:
Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data. AIES 2021: 1034-1041 - [c6]Guy N. Rothblum, Gal Yona:
Multi-group Agnostic PAC Learnability. ICML 2021: 9107-9115 - [c5]Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona:
Outcome indistinguishability. STOC 2021: 1095-1108 - [i9]Guy N. Rothblum, Gal Yona:
Multi-group Agnostic PAC Learnability. CoRR abs/2105.09989 (2021) - [i8]Guy N. Rothblum, Gal Yona:
Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification. CoRR abs/2110.00813 (2021) - [i7]Gal Yona, Daniel Greenfeld:
Revisiting Sanity Checks for Saliency Maps. CoRR abs/2110.14297 (2021) - [i6]Gili Karni, Guy N. Rothblum, Gal Yona:
On Fairness and Stability in Two-Sided Matchings. CoRR abs/2111.10885 (2021) - 2020
- [c4]Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona:
Preference-informed fairness. FAT* 2020: 546 - [c3]Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona:
Preference-Informed Fairness. ITCS 2020: 16:1-16:23 - [i5]Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona:
Outcome Indistinguishability. CoRR abs/2011.13426 (2020) - [i4]Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona:
Outcome Indistinguishability. Electron. Colloquium Comput. Complex. TR20 (2020)
2010 – 2019
- 2019
- [c2]Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona:
Learning from Outcomes: Evidence-Based Rankings. FOCS 2019: 106-125 - [i3]Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona:
Preference-Informed Fairness. CoRR abs/1904.01793 (2019) - [i2]Gal Yona, Amirata Ghorbani, James Y. Zou:
Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data. CoRR abs/1910.04214 (2019) - 2018
- [c1]Gal Yona, Guy N. Rothblum:
Probably Approximately Metric-Fair Learning. ICML 2018: 5666-5674 - [i1]Guy N. Rothblum, Gal Yona:
Probably Approximately Metric-Fair Learning. CoRR abs/1803.03242 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-27 20:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: