Papers by Siqu Ou

2 papers
Bridging the Dynamic Perception Gap: Training-Free Draft Chain-of-Thought for Dynamic Multimodal Spatial Reasoning (2025.findings-emnlp)

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Challenge: Existing methods for dynamic spatial reasoning are limited to text or static visual domains .
Approach: They propose a framework that augments textual reasoning chains with dynamic visual drafts .
Outcome: The proposed framework outperforms existing methods in dynamic spatial reasoning tasks.
When Seeing Is not Enough: Revealing the Limits of Active Reasoning in MLLMs (2026.acl-long)

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Challenge: Existing evaluations of multimodal large language models focus on passive inference, where seeing is not enough.
Approach: They propose a benchmark to evaluate active reasoning in multimodal large language models . they propose to acquire missing evidence and iteratively refine decisions under incomplete information .
Outcome: The proposed model performs better on active reasoning than on passive inference settings.

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