---
title: "Frederic Sala — author profile and papers — Elamur Research"
description: "Frederic Sala, University of Wisconsin–Madison: 2 papers on Elamur Research (2020–2022), h-index 29 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/frederic-sala/"
---
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# Frederic Sala

Frederic Sala has 2 papers in our library, in 2020–2022, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Christopher Ré](https://md.research.elamur.ai/free/en/authors/christopher-re/), [Ines Chami](https://md.research.elamur.ai/free/en/authors/ines-chami/), [Avanika Narayan](https://md.research.elamur.ai/free/en/authors/avanika-narayan/).

2 papers in our library · 2020–2022

[OpenAlex](https://openalex.org/A5103088414) · [ORCID](https://orcid.org/0000-0003-0379-2827) · [**h-index 29**](https://openalex.org/authors/A5103088414) · [134 works](https://openalex.org/works?filter=author.id:A5103088414) · [3,552 citations](https://openalex.org/works?filter=author.id:A5103088414&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/frederic-sala/#papers) · [🔗 Cited 178 times in our library](https://md.research.elamur.ai/free/en/authors/frederic-sala/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3897](https://md.research.elamur.ai/free/en/paper-stars/page/39/#star-3897)

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=Frederic+Sala) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Frederic+Sala) · [dblp](https://dblp.org/search?q=Frederic+Sala) · [ACL Anthology](https://aclanthology.org/search/?q=Frederic+Sala)

## Affiliations

[🎓**University of Wisconsin–Madison** Madison · United States 2021–2026 · 40 papersEmployment · Assistant Professor, Computer Sciences*current*](https://md.research.elamur.ai/free/en/universities/university-of-wisconsin-madison/) · [🎓**Stanford University** Stanford · United States 2017–2026 · 13 papers*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**University of California, Los Angeles** Los Angeles · United States 2012–2018 · 31 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions 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 · 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 2 Research subjects and languages the work is about.[Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Knowledge graph · 1 work](https://md.research.elamur.ai/free/en/concepts/knowledge-graph/)

## Works by year

### 2020s

[**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/frederic-sala/year/2022/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/frederic-sala/year/2020/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Low-Dimensional Hyperbolic Knowledge Graph Embeddings](https://md.research.elamur.ai/free/en/papers/chami-2020-low-dimensional-hyperbolic-knowledge-graph/)** *(2020 · 429 citations)* Knowledge graphs (KGs) are typically incomplete, so missing links are often predicted with entity and relation embeddings.
2. **[Ask Me Anything: A simple strategy for prompting language models](https://md.research.elamur.ai/free/en/papers/arora-2022-ask-me-anything-simple-strategy/)** *(2022 · 154 citations)* Prompting large language models is fragile: minor wording changes can shift accuracy a lot, so practitioners often spend significant effort hand-tuning a single prompt per task.

## All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[Low-Dimensional Hyperbolic Knowledge Graph Embeddings](https://md.research.elamur.ai/free/en/papers/chami-2020-low-dimensional-hyperbolic-knowledge-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ines Chami, Adva Wolf, Da-Cheng Juan, et al.*2020 · 429 citations*
2. **[Training Complex Models with Multi-Task Weak Supervision ↗](https://doi.org/10.1609/aaai.v33i01.33014763) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Alexander Ratner et al.*2019 · 175 citations*
3. [**Ask Me Anything: A simple strategy for prompting language models arXiv:2210.02441**Simran Arora, Avanika Narayan, Mayee F. Chen, et al.*2022 · 154 citations*](https://md.research.elamur.ai/free/en/papers/arora-2022-ask-me-anything-simple-strategy/)
4. **[Generative Modeling Helps Weak Supervision (and Vice Versa) ↗](https://arxiv.org/abs/2203.12023) arXiv (Cornell University) · no summary yet**Benedikt Boecking et al.*2022 · 1 citation*
5. **[Reference-Specific Unlearning Metrics Can Hide the Truth: A Reality Check ↗](https://arxiv.org/abs/2510.12981) arXiv (Cornell University) · no summary yet**Sungjun Cho et al.*2025*

## Co-authors here

7 co-authors with a page, the most papers together first.

- [Christopher Ré](https://md.research.elamur.ai/free/en/authors/christopher-re/) ×2
- [Ines Chami](https://md.research.elamur.ai/free/en/authors/ines-chami/) ×2
- [Avanika Narayan](https://md.research.elamur.ai/free/en/authors/avanika-narayan/)
- [Da-Cheng Juan](https://md.research.elamur.ai/free/en/authors/da-cheng-juan/)
- [Neel Guha](https://md.research.elamur.ai/free/en/authors/neel-guha/)
- [Simran Arora](https://md.research.elamur.ai/free/en/authors/simran-arora/)
- [Sujith Ravi](https://md.research.elamur.ai/free/en/authors/sujith-ravi/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2020](https://md.research.elamur.ai/free/en/venues/acl/2020/)
- Proceedings of the AAAI Conference on Artificial Intelligence

## Cited by

Papers of our library cite their works 178 times (of the 149,439 papers whose bibliographies we read); [28 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/frederic-sala/cited-by/).

Updated 2 November 2026
