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cs.CL2026

OmniPhys: A Unified Multimodal Benchmark for Physics Understanding and Generation from Chinese Educational Corpora

Hao Chen, Yumin Lin, Nadila Yushanjiang +2

Multimodal Large Language Models (MLLMs) have demonstrated strong abilities in solving diverse visual and textual reasoning tasks. However, their development in the physics domain…

cs.CL2025

SMRC: Aligning Large Language Models with Student Reasoning for Mathematical Error Correction

Biaojie Zeng, Min Zhang, Juan Zhou +4

Large language models (LLMs) often make reasoning errors when solving mathematical problems, and how to automatically detect and correct these errors has become an important resear…

cs.CL2025

OmniEduBench: A Comprehensive Chinese Benchmark for Evaluating Large Language Models in Education

Min Zhang, Hao Chen, Wenqi Zhang +6

With the rapid development of large language models (LLMs), various LLM-based works have been widely applied in educational fields. However, most existing LLMs and their benchmarks…

cs.CL2025

DiaCDM: Cognitive Diagnosis in Teacher-Student Dialogues using the Initiation-Response-Evaluation Framework

Rui Jia, Yuang Wei, Ruijia Li +5

While cognitive diagnosis (CD) effectively assesses students' knowledge mastery from structured test data, applying it to real-world teacher-student dialogues presents two fundamen…

cs.CL2025

EduDial: Constructing a Large-scale Multi-turn Teacher-Student Dialogue Corpus

Shouang Wei, Min Zhang, Xin Lin +3

Recently, several multi-turn dialogue benchmarks have been proposed to evaluate the conversational abilities of large language models (LLMs). As LLMs are increasingly recognized as…