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Hinrich Schütze

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#machine learning Preprint Sep 2026

Weakening Neurons: An Input-Output Functionality in Transformers with Outsize Influence

The learned input-output behavior of GLU-based neurons in large language models (LLMs) is analyzed and it is found that weakening neurons display surprising behavior: even though there are few, they activate often and have a large influence on model behavior.

Sebastian Gerstner, Hilal AlQuabeh, Kentaro Inui et al. · 0 citations
#artificial intelligence Preprint Sep 2026

A Systematic Evaluation of Cross-Lingual Consistency Enhancement Methods in Multilingual Language Models

This work presents a unified evaluation of representative CLC-enhancement methods for question answering, spanning inference-time interventions and post-training approaches across three model families and three closed-form benchmarks, highlighting the need to evaluate CLC enhancement for both cross-domain robustness an...

Jirui Qi, Ming-Yang Wang, Hinrich Schütze et al. · 0 citations
Jul 2026

Parsing Middle High German: exploring cross-lingual NLP for treebank construction in low-resource historical languages

This study highlights the potential of NLP tools to streamline the semiautomatic annotation process, reducing the reliance on extensive linguistic expertise and manual effort, and paving the way for broader applications in digital humanities research.

Ercong Nie, Siyao Peng, Helmut Schmid et al. · 0 citations
#machine learning Review Aug 2026

A Target-Centric Survey of Quantization-Aware Training

A target-centric survey of QAT is provided, aimed at clarifying both its theoretical foundations and its evolving implementation landscape and synthesizing cross-target differences in error characteristics, numerical formats, and strategy transferability.

Jiashun Song, Mengjie Zhao, Zi-Jing Wang et al. · 0 citations

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