Skip to main content Skip to main navigation

Four MLT Papers Accepted at ACL 2026

| Knowledge & Business Intelligence | Machine Learning & Deep Learning | Language & Text Understanding | Multilinguality and Language Technology | Saarbrücken

We are delighted to announce that four papers from the MLT department have been accepted for presentation at the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), two at the main conference and two at Findings.

Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, Michael A. Hedderich, Sebastian Lapuschkin, Wojciech Samek, and Vera Schmitt. From Weights to Activations: Is Steering the Next Frontier of Adaptation? (Main)

Dan Shi, Zhuowen Han, Simon Ostermann, Renren Jin, Josef van Genabith, and Deyi Xiong. Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models. (Main)

Daniil Gurgurov, Yusser Al Ghussin, Tanja Baeumel, Cheng-Ting Chou, Patrick Schramowski, Marius Mosbach, Josef van Genabith, and Simon Ostermann. CLaS-Bench: A Cross-Lingual Alignment and Steering Benchmark. (Findings)

Cennet Oguz, Yasser Hamidullah, Josef van Genabith, and Simon Ostermann. DualFact+: A Multimodal Fact Verification Framework for Procedural Video Captioning. (Findings)

Congratulations to all authors!

Contact:

Dr. Simon Ostermann

Press contact:

Communications & Media Saarbrücken