--- title: "Gal Yona — author profile and papers — Elamur Research" description: "Gal Yona, Google: 3 papers on Elamur Research (2024–2025), h-index 11 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/gal-yona/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/gal-yona/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Gal Yona # Gal Yona Gal Yona has 3 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/), [Avi Caciularu](https://md.research.elamur.ai/free/en/authors/avi-caciularu/), [Dipanjan Das](https://md.research.elamur.ai/free/en/authors/dipanjan-das/). 3 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5037714222) · [ORCID](https://orcid.org/0009-0002-8519-8230) · [**h-index 11**](https://openalex.org/authors/A5037714222) · [38 works](https://openalex.org/works?filter=author.id:A5037714222) · [507 citations](https://openalex.org/works?filter=author.id:A5037714222&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/gal-yona/#papers) · [🔗 Cited 128 times in our library](https://md.research.elamur.ai/free/en/authors/gal-yona/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7591](https://md.research.elamur.ai/free/en/paper-stars/page/76/#star-7591) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Gal+Yona) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Gal+Yona) · [dblp](https://dblp.org/search?q=Gal+Yona) · [ACL Anthology](https://aclanthology.org/search/?q=Gal+Yona) ## Affiliations [🏢**Google** Mountain View · United States 2024–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Weizmann Institute of Science** Rehovot · Israel 2018–2023 · 18 papers](https://md.research.elamur.ai/free/en/universities/weizmann-institute-of-science/) · [🎓**Technion – Israel Institute of Technology** Haifa · Israel 2024–2025 · 3 papersEmployment · M.Sc student, Computer Science](https://md.research.elamur.ai/free/en/universities/technion-israel-institute-of-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/gal-yona/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/gal-yona/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?](https://md.research.elamur.ai/free/en/papers/yona-2024-can-large-language-models-faithfully/)** *(2024 · 40 citations)* LLMs often state false facts in a confident, fluent tone, which can lead users to over-trust them. The authors argue that hedging in a response should reflect the model's own uncertainty, not external correctness. They define faithful response uncertainty, a per-example score equal to one minus the average gap… 2. **[SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge](https://md.research.elamur.ai/free/en/papers/haas-2025-simpleqa-verified-reliable-factuality-benchmark/)** *(2025 · 12 citations)* OpenAI's SimpleQA became a standard test of whether LLMs can recall short facts from their own weights. It has flaws, though. Some reference answers are wrong, individual raters contributed clusters of near-identical questions, and dates, person names and science/technology topics dominate. 3. **[MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2025-metafaith-faithful-natural-language-uncertainty/)** *(2025 · 6 citations)* LLMs often state false claims in confident language, which leads users to over-trust them. This paper studies "faithful calibration": whether the decisiveness of a model's wording matches its intrinsic uncertainty. This differs from standard factual calibration, which ties confidence to accuracy. The authors… ## All works 5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? ↗](https://arxiv.org/abs/2405.05904) arXiv:2405.05904 · no summary yet**Zorik Gekhman et al.*2024 · 171 citations* 2. **[Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?](https://md.research.elamur.ai/free/en/papers/yona-2024-can-large-language-models-faithfully/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Gal Yona, Roee Aharoni, Mor Geva*2024 · 40 citations* 3. [**SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge arXiv:2509.07968**Lukas Haas, Gal Yona, Giovanni D'Antonio, et al.*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/haas-2025-simpleqa-verified-reliable-factuality-benchmark/) 4. **[MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2025-metafaith-faithful-natural-language-uncertainty/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, et al.*2025 · 6 citations* 5. **[Keep Guessing? When Considering Inference Scaling, Mind the Baselines ↗](https://aclanthology.org/2025.findings-naacl.332/) Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yet**Gal Yona et al.*2025* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/) - [Avi Caciularu](https://md.research.elamur.ai/free/en/authors/avi-caciularu/) - [Dipanjan Das](https://md.research.elamur.ai/free/en/authors/dipanjan-das/) - [Gabrielle Kaili-May Liu](https://md.research.elamur.ai/free/en/authors/gabrielle-kaili-may-liu/) - [Idan Szpektor](https://md.research.elamur.ai/free/en/authors/idan-szpektor/) - [Lukas Haas](https://md.research.elamur.ai/free/en/authors/lukas-haas/) - [Mor Geva](https://md.research.elamur.ai/free/en/authors/mor-geva/) - [Roee Aharoni](https://md.research.elamur.ai/free/en/authors/roee-aharoni/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/), [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) - Findings of the Association for Computational Linguistics: NAACL 2025 ## Cited by Papers of our library cite their works 128 times (of the 149,439 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/gal-yona/cited-by/). Updated 30 October 2026