--- title: "Noam Wies — author profile and papers — Elamur Research" description: "Noam Wies, Hebrew University of Jerusalem: 2 papers on Elamur Research (2023), h-index 6 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/noam-wies/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/noam-wies/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Noam Wies # Noam Wies Noam Wies has 2 papers in our library, in 2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Amnon Shashua](https://md.research.elamur.ai/free/en/authors/amnon-shashua/), [Yoav Levine](https://md.research.elamur.ai/free/en/authors/yoav-levine/). 2 papers in our library · 2023 [OpenAlex](https://openalex.org/A5081397200) · [ORCID](https://orcid.org/0000-0002-1337-2298) · [**h-index 6**](https://openalex.org/authors/A5081397200) · [15 works](https://openalex.org/works?filter=author.id:A5081397200) · [369 citations](https://openalex.org/works?filter=author.id:A5081397200&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/noam-wies/#papers) · [🔗 Cited 102 times in our library](https://md.research.elamur.ai/free/en/authors/noam-wies/cited-by/) · [⭐ Paper Stars ranking: #5997](https://md.research.elamur.ai/free/en/paper-stars/page/60/#star-5997) 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=Noam+Wies) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Noam+Wies) · [dblp](https://dblp.org/search?q=Noam+Wies) · [ACL Anthology](https://aclanthology.org/search/?q=Noam+Wies) ## Affiliations [🎓**Hebrew University of Jerusalem** Jerusalem · Israel 2020–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/hebrew-university-of-jerusalem/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/noam-wies/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Fundamental Limitations of Alignment in Large Language Models](https://md.research.elamur.ai/free/en/papers/wolf-2023-fundamental-limitations-alignment-large-language/)** *(2023 · 114 citations)* Wolf et al. ask whether aligning a large language model, via RLHF finetuning or aligning prompts, can make it robust to adversarial users. To analyze this, they develop Behavior Expectation Bounds (BEB), a framework grounded in probability theory. Each behavior vertical (e.g., helpfulness, politeness) assigns… 2. **[The Learnability of In-Context Learning](https://md.research.elamur.ai/free/en/papers/wies-2023-learnability-context-learning/)** *(2023 · 53 citations)* In-context learning lets a large language model take on a downstream task from labeled examples placed in its prompt, without any weight updates. ## Co-authors here 2 co-authors with a page, the most papers together first. - [Amnon Shashua](https://md.research.elamur.ai/free/en/authors/amnon-shashua/) ×2 - [Yoav Levine](https://md.research.elamur.ai/free/en/authors/yoav-levine/) ×2 ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/) ## Cited by Papers of our library cite their works 102 times (of the 149,439 papers whose bibliographies we read); [22 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/noam-wies/cited-by/). Updated 30 October 2026