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Geng-Xu Li

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#artificial intelligence Preprint Aug 2026

MMPCBench: Benchmarking Multimodal Large Language Models on Proactive Critique of Flawed Inputs

This work proposes MMPCBench, a comprehensive framework for evaluating MLLMs' proactive critique competence, which adopts a hierarchical evaluation protocol to measure models' error detection, diagnosis and resolution performance, and applies alignment-aware metrics to assess the coherence between internal reasoning an...

Jin-Zhe Li, Geng-Xu Li, Jinnan Li et al. · 0 citations

#natural language process... Preprint Aug 2026

OCR-MetaReasoning Benchmark: Evaluating the Meta-Reasoning Ability of MLLMs in Text-Rich Image Understanding

Experiments with representative closed-source and open-source MLLMs show that OCR-grounded meta-reasoning remains far from saturated: models struggle with visible-rule application and layout-sensitive inference, while process-compliant rationales can accompany incorrect final answers under exact-match evaluation.

Geng-Xu Li, Yuan Wu, Yi Chang · 0 citations