M4FC is introduced, a new real-world dataset comprising 4,982 images paired with 6,980 claims that spans six multimodal fact-checking tasks: visual claim extraction, claimant intent prediction, fake image detection, image contextualization, location verification, and verdict prediction.
Jiahui Geng, Jonathan Tonglet, Iryna Gurevych
· arXiv.org · 7 citations
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Jul 2026
FinMMEval 2026 Task 2 evaluates short-answer financial question answering over multilingual evidence over multilingual evidence using document retrieval-augmented generation, cross-lingual evidence handling, structured prompting, answer compression, and validation strategies.
Zhuohan Xie, Xueqing Peng, Georgi N. Georgiev et al.
· arXiv.org · 1 citation
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Jul 2026
FinMMEval 2026 Task 1 evaluates multilingual financial multiple-choice question answering in English, Chinese, Arabic, and Hindi. The task tests whether systems can select the correct answer to finance questions involving domain terminology, numerical interpretation, and conceptual financial reasoning across languages...
Zhuohan Xie, Yu-Yang Dai, R. Elbadry et al.
· arXiv.org · 1 citation
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