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Mengzhao Jia

ACL 2026×2评测与基准多模态推理强化学习与后训练
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一作贡献30
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方向广度8
合作网络6
1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #3/7ACL 2026Poster· Natural Language Processing

MMT utor B ench: The First Multimodal Benchmark for AI Math Tutoring

Tengchao Yang · Sichen Guo · Mengzhao Jia · Jiaming Su · Yuanyang Liu · Zhihan Zhang · Meng Jiang

摘要

Effective math tutoring requires not only solving problems but also diagnosing students’ difficulties and guiding them step by step. While multimodal large language models (MLLMs) show promise, existing benchmarks largely overlook these tutoring skills. We introduce MMTutorBench, the first benchm...

评测与基准推理多模态OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

A uto R ubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning

Mengzhao Jia · Zhihan Zhang · Ignacio Cases · Zheyuan Liu · Meng Jiang · Peng Qi

摘要

Multimodal large language models (MLLMs) have rapidly advanced from perception tasks to complex multi-step reasoning, yet reinforcement learning with verifiable rewards (RLVR) often leads to spurious reasoning since only the final-answer correctness is rewarded. To address this limitation, we pro...

强化学习与后训练多模态评测与基准OpenReview 项目页

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