18 citations · 29 across the 13 of their papers we have counts for
5 papers · 1 filter
An Evaluation of Explanation Methods for Black-Box Detectors of Machine-Generated Text
Loris Schoenegger, Yuxi Xia, Benjamin Roth
The increasing difficulty to distinguish language-model-generated from human-written text has led to the development of detectors of machine-generated text (MGT). However, in many…
Black-box Model Ensembling for Textual and Visual Question Answering via Information Fusion
Yuxi Xia, Kilm Zaporojets, Benjamin Roth
A diverse range of large language models (LLMs), e.g., ChatGPT, and visual question answering (VQA) models, e.g., BLIP, have been developed for solving textual and visual question…
Helpful assistant or fruitful facilitator? Investigating how personas affect language model behavior
Pedro Henrique Luz de Araujo, Benjamin Roth
One way to personalize and steer generations from large language models (LLM) is to assign a persona: a role that describes how the user expects the LLM to behave (e.g., a helpful…
Exploring prompts to elicit memorization in masked language model-based named entity recognition
Yuxi Xia, Anastasiia Sedova, Pedro Henrique Luz de Araujo +3
Training data memorization in language models impacts model capability (generalization) and safety (privacy risk). This paper focuses on analyzing prompts' impact on detecting the…
Specification Overfitting in Artificial Intelligence
Benjamin Roth, Pedro Henrique Luz de Araujo, Yuxi Xia +2
Machine learning (ML) and artificial intelligence (AI) approaches are often criticized for their inherent bias and for their lack of control, accountability, and transparency. Cons…