---
title: "Martin Pawelczyk — author profile and papers in our library"
description: "Martin Pawelczyk, University of Vienna: 2 papers on Elamur Research (2023–2026), h-index 9 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/martin-pawelczyk/"
---
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# Martin Pawelczyk

Martin Pawelczyk has 2 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Himabindu Lakkaraju](https://md.research.elamur.ai/free/en/authors/himabindu-lakkaraju/), [Aounon Kumar](https://md.research.elamur.ai/free/en/authors/aounon-kumar/), [Seth Neel](https://md.research.elamur.ai/free/en/authors/seth-neel/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5044448837) · [ORCID](https://orcid.org/0000-0002-6191-4434) · [**h-index 9**](https://openalex.org/authors/A5044448837) · [43 works](https://openalex.org/works?filter=author.id:A5044448837) · [1,450 citations](https://openalex.org/works?filter=author.id:A5044448837&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/martin-pawelczyk/#papers) · [🔗 Cited 68 times in our library](https://md.research.elamur.ai/free/en/authors/martin-pawelczyk/cited-by/) · [⭐ Paper Stars ranking: #8317](https://md.research.elamur.ai/free/en/paper-stars/page/84/#star-8317)

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

## Affiliations

[🎓**Harvard University** Cambridge · United States 2022–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/harvard-university/) · [🎓**University of Vienna** Vienna · Austria 2025–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-vienna/) · [🎓**University of Tübingen** Tübingen · Germany 2020–2022 · 11 papers](https://md.research.elamur.ai/free/en/universities/university-of-tubingen/)

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 4 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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [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

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/martin-pawelczyk/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/martin-pawelczyk/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[In-Context Unlearning: Language Models as Few Shot Unlearners](https://md.research.elamur.ai/free/en/papers/pawelczyk-2023-context-unlearning-language-models-few/)** *(2023 · 81 citations)* Privacy rules such as the Right to be Forgotten, along with copyright takedown demands, can require removing the effect of particular training examples from a deployed model.
2. **[Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models](https://md.research.elamur.ai/free/en/papers/sun-2026-generalizing-trust-weak-strong-trustworthiness/)** *(2026)* In high-stakes areas such as medicine, ground-truth labels are often missing, noisy or biased, so models must learn from imperfect supervision.

## Co-authors here

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

- [Himabindu Lakkaraju](https://md.research.elamur.ai/free/en/authors/himabindu-lakkaraju/) ×2
- [Aounon Kumar](https://md.research.elamur.ai/free/en/authors/aounon-kumar/)
- [Seth Neel](https://md.research.elamur.ai/free/en/authors/seth-neel/)
- [Zhenting Qi](https://md.research.elamur.ai/free/en/authors/zhenting-qi/)

## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)

## Cited by

Papers of our library cite their works 68 times (of the 149,439 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/martin-pawelczyk/cited-by/).

Updated 2 November 2026
