Home | Tags | #p-hofmann

#p-hofmann

VHZ+26

SLAyiNG: A Diverse and Community-Validated Dataset of Queer Slang

NeurIPS 2026

#p-hofmann #p-schuetze

TSM+26

Different Demographic Cues Yield Inconsistent Conclusions About LLM Personalization and Bias

EMNLP 2026

#p-hofmann

SAL+26

The Cost of Sounding Different: Accent Bias in Audio Language Models

EMNLP 2026

#p-hofmann

HKK+26a

Tokenization in Large Language Models

Tutorials @EMNLP 2026

#p-hofmann

MML+26

Retrofitting Language Models to Operate Over Bytes

Nature 658. Oct. 2026

#p-hofmann

LHW+26

Can Large Language Models Generalize Procedures Across Representations?

ICML 2026

#p-hofmann

VWM+24

Derivational Morphology Reveals Analogical Generalization in Large Language Models

Preprint (Nov. 2024)

#p-hofmann #p-schuetze

WHK+23

Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation Into the Morphological Capabilities of a Large Language Model

EMNLP 2023

#p-hofmann #p-schuetze

Hof23

Computational Investigations of Derivational Morphology

Dissertation University of Oxford. Oct. 2023. Co-Supervised

#p-hofmann

WHK+23a

Explaining Pretrained Language Models' Understanding of Linguistic Structures Using Construction Grammar

Frontiers in Artificial Intelligence 6. Oct. 2023

#p-hofmann #p-schuetze

WHK+22

The Better Your Syntax, the Better Your Semantics? Probing Pretrained Language Models for the English Comparative Correlative

EMNLP 2022

#p-hofmann #p-schuetze

WHJ+22

CaMEL: Case Marker Extraction Without Labels

ACL 2022

#p-hofmann #p-schuetze
Back to Top