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Sebastian Gehrmann

Researcher at Google

Publications -  87
Citations -  6000

Sebastian Gehrmann is an academic researcher from Google. The author has contributed to research in topics: Computer science & Language model. The author has an hindex of 26, co-authored 63 publications receiving 2233 citations. Previous affiliations of Sebastian Gehrmann include IBM & Bielefeld University.

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Proceedings ArticleDOI

Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models

TL;DR: This article applied causal mediation analysis to pre-trained neural language models to investigate the magnitude of models' preferences for grammatical inflections, as well as whether neurons process subject-verb agreement similarly across sentences with different syntactic structures.
Proceedings ArticleDOI

Diagnosing AI Explanation Methods with Folk Concepts of Behavior

TL;DR: In this article , a formalism for the conditions of successful explanation of AI is proposed, where success depends not only on what information the explanation contains, but also on what the human explainee understands from it.
Journal ArticleDOI

Performance under pressure in skill tasks: An analysis of professional darts

TL;DR: Investigating performance under pressure in professional darts as a near-ideal setting with no direct interaction between players and a high number of observations per subject finds no evidence of either choking or excelling under pressure.
Posted Content

Very Highly Skilled Individuals Do Not Choke Under Pressure: Evidence from Professional Darts

TL;DR: This article investigated performance under pressure in professional darts as a near-ideal setting with no direct interaction between players and a high number of observations per subject and found strong evidence for an overall improved performance for nearly all players in the sample.
Journal ArticleDOI

Evaluating an Automated Mediator for Joint Narratives in a Conflict Situation

TL;DR: In this article, an automated cognitive tutor is used to support remote interactions between pairs of participants as they contribute to a shared story in their own language, and the tutor guides the participants through a controlled escalation/de-escalation process during the development of a joint narrative.