chain-of-thought 1evaluation benchmarks 1large language models 1model reliability 1multimodal models 1
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cs.AI2026
Advancing Multimodal Judge Models through a Capability-Oriented Benchmark and MCTS-Driven Data Generation
Zeyu Chen, Huanjin Yao, Ziwang Zhao +1
The paper introduces a new benchmark, M-JudgeBench, to evaluate the judgment capabilities of multimodal large language models, and proposes a data generation method (Judge-MCTS) to…
cs.AI2026
Valley3: Scaling Omni Foundation Models for E-commerce
Zeyu Chen, Guanghao Zhou, Qixiang Yin +6
In this work, we present Valley3, an omni multimodal large language model (MLLM) developed for diverse global e-commerce tasks, with unified understanding and reasoning capabilitie…