Home  | News

08.06.2022

Tiny logo
Teaser image to MCML at NAACL 2022

MCML at NAACL 2022

Two Accepted Papers (2 Findings)

Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics, Seattle, WA, USA, Jun 10-15, 2022

We are happy to announce that MCML researchers have contributed a total of 2 papers to NAACL 2022: 2 Finding papers. Congrats to our researchers!

Findings Track (2 papers)

V. Steinborn • P. Dufter • H. Jabbar • H. Schütze
An Information-Theoretic Approach and Dataset for Probing Gender Stereotypes in Multilingual Masked Language Models.
Findings @NAACL 2022 - Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Seattle, WA, USA, Jun 10-15, 2022. DOI

M. Zhao • F. Mi • Y. Wang • M. Li • X. Jiang • Q. Liu • H. Schütze
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework.
Findings @NAACL 2022 - Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Seattle, WA, USA, Jun 10-15, 2022. DOI

#research #top-tier-work #schuetze
Subscribe to RSS News feed

Related

Link to Anne-Laure Boulesteix Among the World’s Most Cited Researchers

13.11.2025

Anne-Laure Boulesteix Among the World’s Most Cited Researchers

MCML PI Anne‑Laure Boulesteix named Highly Cited Researcher 2025 for cross-field work, among 17 LMU scholars recognized globally.

Link to Björn Ommer Featured in Frankfurter Rundschau

13.11.2025

Björn Ommer Featured in Frankfurter Rundschau

Björn Ommer highlights how Google’s new AI search mode impacts publishers, content visibility, and the diversity of online information.

Link to Fabian Theis Among the World’s Most Cited Researchers

13.11.2025

Fabian Theis Among the World’s Most Cited Researchers

Fabian Theis is named a Highly Cited Researcher 2025 for his work in mathematical modeling of biological systems.

Link to Explaining AI Decisions: Shapley Values Enable Smart Exosuits

13.11.2025

Explaining AI Decisions: Shapley Values Enable Smart Exosuits

AI meets wearable robotics: MCML and Harvard researchers make exosuits smarter and safer with explainable optimization, presented at ECML-PKDD 2025.

Link to

10.11.2025

MCML at ICDM 2025

MCML researchers are represented with 2 papers at ICDM 2025.

Back to Top