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cs.AI2026
FIRE: A Comprehensive Benchmark for Financial Intelligence and Reasoning Evaluation
Xiyuan Zhang, Huihang Wu, Jiayu Guo +8
We introduce FIRE, a comprehensive benchmark designed to evaluate both the theoretical financial knowledge of LLMs and their ability to handle practical business scenarios. For the…
cs.AI2025
EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique
Chenglin Zhu, Tao Zhang, Chong Li +3
Multimodal large language models (MLLMs) still perform poorly on scientific tasks, particularly those requiring multi-step and interpretable reasoning. Their limitations include in…
cs.AI2025
K12Vista: Exploring the Boundaries of MLLMs in K-12 Education
Chong Li, Chenglin Zhu, Tao Zhang +3
Multimodal large language models have demonstrated remarkable reasoning capabilities in various visual tasks. However, their abilities in K12 scenarios are still systematically und…