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Mubashara Akhtar

PhD Student @ King's College London

charts

automated fact checking

fact checking

multimodality

multimodal

survey

efficiency

knn

numerical reasoning

table nli

language models

multimodal fact-checking

language model

5

presentations

SHORT BIO

Mubashara is a PhD student at King's College London. Her research is on multimodal approaches for automated fact checking, focusing on the modalities text, tables, and images, but also related problems such as numerical reasoning over tabular data. Her research is funded by a King's College London NMES faculty award. Previously she was an intern at Google Deepmind in Zurich where she was working with Julian Eisenschlos. Prior to that she was doing a research visit with Andreas Vlachos at the the University of Cambridge.

Presentations

ChartCheck: Explainable Fact-Checking over Real-World Chart Images

Mubashara Akhtar and 5 other authors

Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data

Mubashara Akhtar and 5 other authors

Multimodal Automated Fact-Checking: A Survey

Mubashara Akhtar and 5 other authors

Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checking

Mubashara Akhtar

PubHealthTab: A Public Health Table-based Dataset for Evidence-based Fact Checking

Mubashara Akhtar and 2 other authors

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