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20232026
most citedUnified Uncertainty Estimation for Cognitive Diagnosis Models

7 citations · 23 across the 22 of their papers we have counts for

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8 papers · 1 filter

cs.AI2026

MathCoPilot: An Interactive System for Human-AI Symbiotic Paradigm of Mathematical Research

Junjie Zhang, Jiayu Liu, Wenbin Liu +11

Existing LLM-based theorem provers have achieved impressive results on formal mathematics benchmarks, yet they remain confined to acting as autonomous agents that prove a stated pr…

cs.AI2026

UniCog: Uncovering Cognitive Abilities of LLMs through Latent Mind Space Analysis

Jiayu Liu, Yinhe Long, Zhenya Huang +1

A growing body of research suggests that the cognitive processes of large language models (LLMs) differ fundamentally from those of humans. However, existing interpretability metho…

cs.AI2025

Verifying Large Language Models' Reasoning Paths via Correlation Matrix Rank

Jiayu Liu, Wei Dai, Zhenya Huang +2

Despite the strong reasoning ability of large language models~(LLMs), they are prone to errors and hallucinations. As a result, how to check their outputs effectively and efficient…

cs.AI2025

Foundation of Intelligence: Review of Math Word Problems from Human Cognition Perspective

Zhenya Huang, Jiayu Liu, Xin Lin +6

Math word problem (MWP) serves as a fundamental research topic in artificial intelligence (AI) dating back to 1960s. This research aims to advance the reasoning abilities of AI by…

cs.AI2025

CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective

Jiayu Liu, Zhenya Huang, Wei Dai +7

Although large language models (LLMs) show promise in solving complex mathematical tasks, existing evaluation paradigms rely solely on a coarse measure of overall answer accuracy,…

cs.AI2025

Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment

Yuze Zhao, Tianyun Ji, Wenjun Feng +6

The reasoning abilities are one of the most enigmatic and captivating aspects of large language models (LLMs). Numerous studies are dedicated to exploring and expanding the boundar…

cs.AI2024★ 5 cited

A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions

Fei Wang, Weibo Gao, Qi Liu +8

Cognitive diagnosis has been developed for decades as an effective measurement tool to evaluate human cognitive status such as ability level and knowledge mastery. It has been appl…

cs.AI2024★ 1 cited

Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process

Tong Xiao, Jiayu Liu, Zhenya Huang +4

Geometry Problem Solving (GPS), which is a classic and challenging math problem, has attracted much attention in recent years. It requires a solver to comprehensively understand bo…