50 citations · 86 across the 8 of their papers we have counts for
8 papers
Charged-lepton identification at Belle~II
Belle II Collaboration, M. Abumusabh, I. Adachi +409
Effective particle identification capabilities are a strategic priority for the physics program of the Belle~II experiment. We describe the algorithms used at Belle~II for identify…
First evidence of and search for
Belle, Belle II Collaborations, : +412
We search for the pionic transitions and in decays using the Belle and Belle~II data samples c…
Measurement of mixing-induced CP violation in the decay
Belle II Collaboration, M. Abumusabh, I. Adachi +437
Measurements of charge-parity (CP) violation in quark transitions provide stringent tests of the current theory and sensitive probes of particles or interactions beyond it. We repo…
Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference Context
Marion Bartl, Thomas Brendan Murphy, Susan Leavy
Gender-inclusive language is often used with the aim of ensuring that all individuals, regardless of gender, can be associated with certain concepts. While psycholinguistic studies…
From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs
Marion Bartl, Susan Leavy
Gender bias is not only prevalent in Large Language Models (LLMs) and their training data, but also firmly ingrained into the structural aspects of language itself. Therefore, adap…
Listening to the Voices: Describing Ethical Caveats of Conversational User Interfaces According to Experts and Frequent Users
Thomas Mildner, Orla Cooney, Anna-Maria Meck +9
Advances in natural language processing and understanding have led to a rapid growth in the popularity of conversational user interfaces (CUIs). While CUIs introduce novel benefits…
Towards Lexical Gender Inference: A Scalable Methodology using Online Databases
Marion Bartl, Susan Leavy
This paper presents a new method for automatically detecting words with lexical gender in large-scale language datasets. Currently, the evaluation of gender bias in natural languag…
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias
Marion Bartl, Malvina Nissim, Albert Gatt
Contextualized word embeddings have been replacing standard embeddings as the representational knowledge source of choice in NLP systems. Since a variety of biases have previously…