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20192026
most citedGPT-4 as a Homework Tutor can Improve Student Engagement and Learning Outcomes

4 citations · 12 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.CL2026

Last Translation Benchmark

Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263

For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…

cs.CL2026

PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers on Overleaf

Jiarui Liu, Terry Jingchen Zhang, Ryan Faulkner +17

Expert writing feedback from experienced researchers is critical for early-career scholars to improve their manuscripts, yet high-quality feedback often remains scarce because revi…

cs.CL2026

PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors

Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva +4

Recent advances in large language models (LLMs) demonstrate their potential as educational tutors. However, different tutoring strategies benefit different student personalities, a…

cs.CL2025

Multilingual Performance Biases of Large Language Models in Education

Vansh Gupta, Sankalan Pal Chowdhury, Vilém Zouhar +2

Large language models (LLMs) are increasingly being adopted in educational settings. These applications expand beyond English, though current LLMs remain primarily English-centric.…

cs.CL2024★ 1 cited

Book2Dial: Generating Teacher-Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots

Junling Wang, Jakub Macina, Nico Daheim +2

Educational chatbots are a promising tool for assisting student learning. However, the development of effective chatbots in education has been challenging, as high-quality data is…

cs.CL2024

AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails

Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan

Large Language Models (LLMs) have found several use cases in education, ranging from automatic question generation to essay evaluation. In this paper, we explore the potential of u…

cs.CL2023

MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems

Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury +4

While automatic dialogue tutors hold great potential in making education personalized and more accessible, research on such systems has been hampered by a lack of sufficiently larg…