activity
20232025
most citedA Knowledge-Injected Curriculum Pretraining Framework for Question Answering

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

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.CL2025

From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation

Cheng Cheng, Zhenya Huang, Guanhao Zhao +5

Automatically generating high-quality mathematical problems that align with educational objectives is a crucial task in NLP-based educational technology. Traditional generation met…

cs.CL2024

EduNLP: Towards a Unified and Modularized Library for Educational Resources

Zhenya Huang, Yuting Ning, Longhu Qin +8

Educational resource understanding is vital to online learning platforms, which have demonstrated growing applications recently. However, researchers and developers always struggle…

cs.CL2024★ 2 cited

A Knowledge-Injected Curriculum Pretraining Framework for Question Answering

Xin Lin, Tianhuang Su, Zhenya Huang +3

Knowledge-based question answering (KBQA) is a key task in NLP research, and also an approach to access the web data and knowledge, which requires exploiting knowledge graphs (KGs)…

cs.CL2023

Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training

Yuting Ning, Zhenya Huang, Xin Lin +4

Understanding mathematical questions effectively is a crucial task, which can benefit many applications, such as difficulty estimation. Researchers have drawn much attention to des…