1 citations · 3 across the 21 of their papers we have counts for
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Challenges and Recommendations for LLM-as-a-Judge in Multilingual Settings and for Low-Resource Languages
A. Seza Doğruöz, Xixian Liao, Verena Blaschke +3
LLM-as-a-Judge has become the dominant evaluation paradigm for many natural language generation tasks (albeit mostly in English) due to shortcomings of conventional metrics and hig…
Are Non-English Papers Reviewed Fairly? Language-of-Study Bias in NLP Peer Reviews
Ehsan Barkhordar, Abdulfattah Safa, Verena Blaschke +3
Peer review plays a central role in the NLP publication process, but is susceptible to various biases. Here, we study language-of-study (LoS) bias: the tendency for reviewers to ev…
Variation is the Norm: Embracing Sociolinguistics in NLP
Anne-Marie Lutgen, Alistair Plum, Verena Blaschke +2
In Natural Language Processing (NLP), variation is typically seen as noise and "normalised away" before processing, even though it is an integral part of language. Conversely, stud…
Information Asymmetry across Language Varieties: A Case Study on Cantonese-Mandarin and Bavarian-German QA
Renhao Pei, Siyao Peng, Verena Blaschke +2
Large Language Models (LLMs) are becoming a common way for humans to seek knowledge, yet their coverage and reliability vary widely. Especially for local language varieties, there…
Indirect Question Answering in English, German and Bavarian: A Challenging Task for High- and Low-Resource Languages Alike
Miriam Winkler, Verena Blaschke, Barbara Plank
Indirectness is a common feature of daily communication, yet is underexplored in NLP research for both low-resource as well as high-resource languages. Indirect Question Answering…
Queer NLP: A Critical Survey on Literature Gaps, Biases and Trends
Sabine Weber, Angelina Wang, Ankush Gupta +16
Natural language processing (NLP) technologies are rapidly reshaping how language is created, processed, and interpreted by humans. With current and potential applications in hirin…