Fact verification systems assess a claim's veracity based on evidence. An important
consideration in designing them is faithfulness, ie generating explanations that accurately …

The recent development of fact verification systems with natural logic has enhanced their
explainability by aligning claims with evidence through set-theoretic operators, providing …

Text simplification aims to make technical texts more accessible to laypeople but often
results in deletion of information and vagueness. This work proposes InfoLossQA, a …

Natural Language Explanation (NLE) in vision and language tasks aims to provide human-
understandable explanations for the associated decision-making process. In practice, one …

Medical abstractive summarization faces the challenge of balancing faithfulness and
informativeness. Current methods often sacrifice key information for faithfulness or introduce …

Knowledge distillation optimises a smaller student model to behave similarly to a larger
teacher model, retaining some of the performance benefits. While this method can improve …

The self-rationalising capabilities of LLMs are appealing because the generated
explanations can give insights into the plausibility of the predictions. However, how faithful …

Alzheimer's Disease (AD) is an irreversible neurodegenerative disease affecting 50 million
people worldwide. Low-cost, accurate identification of key markers of AD is crucial for timely …