A new family of locally correctable codes based on degree-lifted algebraic geometry codes. - Eli Ben-Sasson; Ariel Gabizon; Yohay Kaplan; Swastik Kopparty; Shubhangi Saraf (Electron. Colloquium Comput. Complex., 2012)

Constant rate PCPs for circuit-SAT with sublinear query complexity. - Eli Ben-Sasson; Yohay Kaplan; Swastik Kopparty; Or Meir; Henning Stichtenoth (Electron. Colloquium Comput. Complex., 2013)

Serving Ads to "Yahoo Answers" Occasional Visitors. - Michal Aharon; Amit Kagian; Yohay Kaplan; Raz Nissim; Oren Somekh (WWW (Companion Volume), 2015)

Multi-variate Abstractions of Algebraic Geometry Codes, With Applications. - Yohay Kaplan (2016)

Soft Frequency Capping for Improved Ad Click Prediction in Yahoo Gemini Native. - Michal Aharon; Yohay Kaplan; Rina Levy; Oren Somekh; Ayelet Blanc; Neetai Eshel; Avi Shahar; Assaf Singer; Alex Zlotnik 006 (CIKM, 2019)

Dynamic Length Factorization Machines for CTR Prediction. - Yohay Kaplan; Yair Koren; Rina Leibovits; Oren Somekh (IEEE BigData, 2021)

Unbiased Filtering of Accidental Clicks in Verizon Media Native Advertising. - Yohay Kaplan; Naama Krasne; Alex Shtoff; Oren Somekh (CIKM, 2021)

Conversion-Based Dynamic-Creative-Optimization in Native Advertising. - Yohay Kaplan; Alex Shtoff; Tomer Shadi; Oren Somekh; Yair Koren (IEEE Big Data, 2022)

Audience Prospecting for Dynamic-Product-Ads in Native Advertising. - Eliran Abutbul; Yohay Kaplan; Naama Krasne; Oren Somekh; Or David; Omer Duvdevany; Evgeny Segal (IEEE Big Data, 2023)

Improving conversion rate prediction via self-supervised pre-training in online advertising. - Alex Shtoff; Yohay Kaplan; Ariel Raviv (IEEE Big Data, 2023)

Beyond the Surface: Uncovering Implicit Locations with LLMs for Personalized Local News. - Gali Katz; Hai Sitton; Guy Gonen; Yohay Kaplan (CoRR, 2025)