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Tianyi Zhou

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AutoJudger : An Adaptive Evaluation Framework for Efficient Benchmarking of MLLMs

This work introduces A 2 -Judger, a novel MLLM-based A gentic instantiation of A uto Judger equipped with semantic-aware retrieval and dynamic memory that significantly improves sample efficiency while maintaining reliable evaluation results.

Xuanwen Ding, Chengjun Pan, Zejun Li et al. · 0 citations
Preprint Aug 2026

Thinking Hard, Not Smart: Reasoning Models Fail to Ration Test-Time Compute Across Questions

An exam-style evaluation framework is introduced for studying the global budget allocation of reasoning language models when multiple problems share an end-to-end cost or latency constraint, in which a model must distribute one shared token budget across questions with different difficulty and point values.

Chenrui Fan, Yize Cheng, Ming Li et al. · 0 citations

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