Papers by Kejian Zhu

2 papers
Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do (2026.acl-long)

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Challenge: Existing open-source models often yield only marginal overall improvements, possibly due to an overemphasis on mathematical reasoning at the expense of broader capabilities.
Approach: They evaluate 12 multimodal tasks using 14 non-reasoning models and 8 reasoning models.
Outcome: The proposed method is effective in multimodal reasoning tasks, the authors show . they show that it lacks the ability to maintain deep visual introspection throughout the reasoning process.
Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis (2025.acl-long)

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Challenge: Recent studies have focused on building dynamic benchmarks to address data contamination issues.
Approach: They propose a method for identifying shortcut neurons through comparative and causal analysis to suppress shortcut neurons.
Outcome: The proposed method overestimates contaminated models and is highly generalizable across benchmarks and hyperparameter settings.

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