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cs.AI2025
MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models
Huanqia Cai, Yijun Yang, Winston Hu
IQ testing has served as a foundational methodology for evaluating human cognitive capabilities, deliberately decoupling assessment from linguistic background, language proficiency…
cs.AI2024
System-2 Mathematical Reasoning via Enriched Instruction Tuning
Huanqia Cai, Yijun Yang, Zhifeng Li
Solving complex mathematical problems via system-2 reasoning is a natural human skill, yet it remains a significant challenge for current large language models (LLMs). We identify…
cs.AI2024
Embedding Self-Correction as an Inherent Ability in Large Language Models for Enhanced Mathematical Reasoning
Kuofeng Gao, Huanqia Cai, Qingyao Shuai +2
Accurate mathematical reasoning with Large Language Models (LLMs) is crucial in revolutionizing domains that heavily rely on such reasoning. However, LLMs often encounter difficult…