Martin Pawelczyk

Martin Pawelczyk has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining; often with Himabindu Lakkaraju, Aounon Kumar, Seth Neel.

2 papers in our library · 2023–2026

The profile is the library's match of the name; two people with one name are not always told apart.

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

In-Context Unlearning: Language Models as Few Shot Unlearners (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.
Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models (2026)
In high-stakes areas such as medicine, ground-truth labels are often missing, noisy or biased, so models must learn from imperfect supervision.

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

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

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 →.

Updated 2 November 2026