AI hallucinations: a misnomer worth clarifying
N Maleki, B Padmanabhan… - 2024 IEEE conference on …, 2024 - ieeexplore.ieee.org
As large language models continue to advance in Artificial Intelligence (AI), text generation
systems have been shown to suffer from a problematic phenomenon often termed as" …
systems have been shown to suffer from a problematic phenomenon often termed as" …
Rationalization for explainable NLP: a survey
Recent advances in deep learning have improved the performance of many Natural
Language Processing (NLP) tasks such as translation, question-answering, and text …
Language Processing (NLP) tasks such as translation, question-answering, and text …
End-to-end multimodal fact-checking and explanation generation: A challenging dataset and models
We propose end-to-end multimodal fact-checking and explanation generation, where the
input is a claim and a large collection of web sources, including articles, images, videos, and …
input is a claim and a large collection of web sources, including articles, images, videos, and …
Generative large language models in automated fact-checking: A survey
The dissemination of false information on online platforms presents a serious societal
challenge. While manual fact-checking remains crucial, Large Language Models (LLMs) …
challenge. While manual fact-checking remains crucial, Large Language Models (LLMs) …
From outputs to insights: a survey of rationalization approaches for explainable text classification
E Mendez Guzman, V Schlegel… - Frontiers in Artificial …, 2024 - frontiersin.org
Deep learning models have achieved state-of-the-art performance for text classification in
the last two decades. However, this has come at the expense of models becoming less …
the last two decades. However, this has come at the expense of models becoming less …