--- title: "Michal Shmueli-Scheuer — author profile and papers in our library" description: "Michal Shmueli-Scheuer: 2 papers on Elamur Research (2026) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/michal-shmueli-scheuer/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/michal-shmueli-scheuer/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Michal Shmueli-Scheuer # Michal Shmueli-Scheuer Michal Shmueli-Scheuer has 2 papers in our library, in 2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Asaf Yehudai](https://md.research.elamur.ai/free/en/authors/asaf-yehudai/), [Alan Li](https://md.research.elamur.ai/free/en/authors/alan-li/), [Ariel Gera](https://md.research.elamur.ai/free/en/authors/ariel-gera/). 2 papers in our library · 2026 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/michal-shmueli-scheuer/#papers) · [⭐ Paper Stars ranking: #8952](https://md.research.elamur.ai/free/en/paper-stars/page/90/#star-8952) 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=Michal+Shmueli-Scheuer) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Michal+Shmueli-Scheuer) · [dblp](https://dblp.org/search?q=Michal+Shmueli-Scheuer) · [ACL Anthology](https://aclanthology.org/search/?q=Michal+Shmueli-Scheuer) ## 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 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 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/michal-shmueli-scheuer/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Survey on Evaluation of LLM-based Agents](https://md.research.elamur.ai/free/en/papers/yehudai-2026-survey-evaluation-llm-based-agents/)** *(2026 · 21 citations)* LLM-based agents pair a backbone model with a harness that adds tools, memory and multi-step control. Because of this, scoring only their text output no longer captures what they can do. The authors present what they call the first comprehensive survey of how such agents are evaluated. They organize the field from… 2. **[The Mighty ToRR: A Benchmark for Table Reasoning and Robustness in LLMs](https://md.research.elamur.ai/free/en/papers/tahan-2026-mighty-torr-benchmark-table-reasoning/)** *(2026 · 1 citation)* Large language models are often given tables, yet it is unclear how well they reason over them and how much their answers depend on how a table is written out. ## Co-authors here 12 co-authors with a page, the most papers together first. - [Asaf Yehudai](https://md.research.elamur.ai/free/en/authors/asaf-yehudai/) ×2 - [Alan Li](https://md.research.elamur.ai/free/en/authors/alan-li/) - [Ariel Gera](https://md.research.elamur.ai/free/en/authors/ariel-gera/) - [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/) - [Elron Bandel](https://md.research.elamur.ai/free/en/authors/elron-bandel/) - [Leshem Choshen](https://md.research.elamur.ai/free/en/authors/leshem-choshen/) - [Lilach Eden](https://md.research.elamur.ai/free/en/authors/lilach-eden/) - [Percy Liang](https://md.research.elamur.ai/free/en/authors/percy-liang/) - [Roy Bar-Haim](https://md.research.elamur.ai/free/en/authors/roy-bar-haim/) - [Yifan Mai](https://md.research.elamur.ai/free/en/authors/yifan-mai/) - [Yilun Zhao](https://md.research.elamur.ai/free/en/authors/yilun-zhao/) - [Yotam Perlitz](https://md.research.elamur.ai/free/en/authors/yotam-perlitz/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/): [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era 2026](https://md.research.elamur.ai/free/en/venues/surgellm/2026/) Updated 31 October 2026