4 papers
Bias Mitigation in Audio-Enabled LLMs through Adversarial Training and Distillation Methods
Adnan Al Ali, Jindřich Libovický, Anne Lauscher
Audio-enabled large language models (AuLLMs) allow users to interact with them simply by talking to them, without the need for an intermediate transcription. This expands the model…
Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment -- Is English Enough?
Adnan Al Ali, Kathy Hämmerl, Jindřich Libovický +1
Multilingual large language models (LLMs) have been shown to perform better on non-English classification tasks when the representations of the given language are more aligned to E…
Different Time, Different Language: Revisiting the Bias Against Non-Native Speakers in GPT Detectors
Adnan Al Ali, Jindřich Helcl, Jindřich Libovický
LLM-based assistants have been widely popularised after the release of ChatGPT. Concerns have been raised about their misuse in academia, given the difficulty of distinguishing bet…
How Gender Interacts with Political Values: A Case Study on Czech BERT Models
Adnan Al Ali, Jindřich Libovický
Neural language models, which reach state-of-the-art results on most natural language processing tasks, are trained on large text corpora that inevitably contain value-burdened con…