Ran El-Yaniv

4 papers at tracked venues · 4 at CORE A* · active 2024–2026

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Venues

NeurIPS ×2 AAAI ×1 ICML ×1

Frequent coauthors

Ido Galil

×3

Akhiad Bercovich

×2

Mohammad Dabbah

×2

Omri Puny

×2

Amnon Geifman

×2

Yonatan Geifman

×2

Ehud Karpas

×2

Itay Levy

×2

Zach Moshe

×2

Najeeb Nabwani

×2

Tomer Ronen

×2

Itamar Schen

×2

Papers

Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions
AAAI 2026 ·
Guy Bar-Shalom
,
Fabrizio Frasca
,
Derek Lim
,
Yoav Gelberg
,
Yftah Ziser
, Ran El-Yaniv,
Gal Chechik
,
Haggai Maron
FFN Fusion: Rethinking Sequential Computation in Large Language Models
NeurIPS 2025 ·
Akhiad Bercovich
,
Mohammad Dabbah
,
Omri Puny
,
Ido Galil
,
Amnon Geifman
,
Yonatan Geifman
,
Izik Golan
,
Ehud Karpas
,
Itay Levy
,
Zach Moshe
,
Najeeb Nabwani
,
Tomer Ronen
,
Itamar Schen
,
Ido Shahaf
,
Oren Tropp
,
Ran Zilberstein
, Ran El-Yaniv
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
ICML 2025 ·
Akhiad Bercovich
,
Tomer Ronen
,
Talor Abramovich
,
Nir Ailon
,
Nave Assaf
,
Mohammad Dabbah
,
Ido Galil
,
Amnon Geifman
,
Yonatan Geifman
,
Izhak Golan
,
Netanel Haber
,
Ehud Karpas
,
Roi Koren
,
Itay Levy
,
Pavlo Molchanov
,
Shahar Mor
,
Zach Moshe
,
Najeeb Nabwani
,
Omri Puny
,
Ran Rubin
,
Itamar Schen
,
Ido Shahaf
,
Oren Tropp
,
Omer Ullman Argov
,
Ran Zilberstein
, Ran El-Yaniv
Hierarchical Selective Classification
NeurIPS 2024 ·
Shani Goren
,
Ido Galil
, Ran El-Yaniv