Papers by Jieting Long

1 papers
Multimodal Causal Reasoning Benchmark: Challenging Multimodal Large Language Models to Discern Causal Links Across Modalities (2025.findings-acl)

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Challenge: Existing MLLMs lack robustness in multimodal causal reasoning compared to their performance in textual settings.
Approach: They propose a novel multimodal chain-of-thought (CoT) reasoning benchmark that leverages siamese images and text pairs to challenge MLLMs.
Outcome: The proposed benchmark leverages siamese images and text pairs to challenge MLLMs.

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