$Cover Image$

Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	McNichols, Hunter, Lee, Jaewook, Fancsali, Stephen, Ritter, Steve, Lan, Andrew
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploring Automated Keyword Mnemonics Generation with Large Language Models via Overgenerate-and-Rank
by: Lee, Jaewook, et al.
Published: (2024)

Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning
by: McNichols, Hunter, et al.
Published: (2023)

Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models
by: Feng, Wanyong, et al.
Published: (2024)

Math Multiple Choice Question Generation via Human-Large Language Model Collaboration
by: Lee, Jaewook, et al.
Published: (2024)

Gumbel Machine: Counterfactual Student Writing Generation via Gumbel Noise Steering
by: McNichols, Hunter, et al.
Published: (2026)

The StudyChat Dataset: Analyzing Student Dialogues With ChatGPT in an Artificial Intelligence Course
by: McNichols, Hunter, et al.
Published: (2025)

In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models
by: Earle, Sam, et al.
Published: (2026)

A Multi-Agent Approach to Validate and Refine LLM-Generated Personalized Math Problems
by: Ikram, Fareya, et al.
Published: (2026)

GuessingGame: Measuring the Informativeness of Open-Ended Questions in Large Language Models
by: Hutson, Dylan, et al.
Published: (2025)

Open-Ended Wargames with Large Language Models
by: Hogan, Daniel P., et al.
Published: (2024)

Generating Feedback-Ladders for Logical Errors in Programming using Large Language Models
by: Heickal, Hasnain, et al.
Published: (2024)

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning
by: Ying, Huaiyuan, et al.
Published: (2024)

Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization
by: Lee, Jaewook, et al.
Published: (2025)

Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social Simulation
by: Ma, Bolei, et al.
Published: (2025)

Zero-Shot Multi-Hop Question Answering via Monte-Carlo Tree Search with Large Language Models
by: Lee, Seongmin, et al.
Published: (2024)

Letting Tutor Personas "Speak Up" for LLMs: Learning Steering Vectors from Dialogue via Preference Optimization
by: Lee, Jaewook, et al.
Published: (2026)

Simulated Students in Tutoring Dialogues: Substance or Illusion?
by: Scarlatos, Alexander, et al.
Published: (2026)

KASER: Knowledge-Aligned Student Error Simulator for Open-Ended Coding Tasks
by: Duan, Zhangqi, et al.
Published: (2026)

Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange
by: Satpute, Ankit, et al.
Published: (2024)

TabularMath: Understanding Math Reasoning over Tables with Large Language Models
by: Tian, Shi-Yu, et al.
Published: (2025)

Generating Planning Feedback for Open-Ended Programming Exercises with LLMs
by: Demirtaş, Mehmet Arif, et al.
Published: (2025)

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
by: Yu, Longhui, et al.
Published: (2023)

Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
by: Jiang, Liwei, et al.
Published: (2025)

CUS-QA: Local-Knowledge-Oriented Open-Ended Question Answering Dataset
by: Libovický, Jindřich, et al.
Published: (2025)

Interpretable Difficulty-Aware Knowledge Tracing in Tutor-Student Dialogues
by: Huang, Shuyan, et al.
Published: (2026)

Neural Models and Language Model Prompting for the Multidimensional Evaluation of Open-Ended Conversations
by: Elizabeth, Michelle, et al.
Published: (2025)

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering
by: Mei, Jianbiao, et al.
Published: (2025)

DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions
by: Fernandez, Nigel, et al.
Published: (2024)

Training LLM-based Tutors to Improve Student Learning Outcomes in Dialogues
by: Scarlatos, Alexander, et al.
Published: (2025)

Can Vision-Language Models Evaluate Handwritten Math?
by: Nath, Oikantik, et al.
Published: (2025)

Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math
by: Pandit, Shrey, et al.
Published: (2025)

Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models
by: Zhang, Zhicheng, et al.
Published: (2025)

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
by: Shaik, Hashmath, et al.
Published: (2024)

MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation
by: Deroy, Aniket, et al.
Published: (2024)

Rule-Guided Feedback: Enhancing Reasoning by Enforcing Rule Adherence in Large Language Models
by: Diallo, Aissatou, et al.
Published: (2025)

Reasoning, Code, or Both? How Large Language Models Handle Variations in Math Questions
by: Kutakh, Matthew
Published: (2026)

PhoniTale: Phonologically Grounded Mnemonic Generation for Typologically Distant Language Pairs
by: Kang, Sana, et al.
Published: (2025)

Large Language Models Struggle with Unreasonability in Math Problems
by: Ma, Jingyuan, et al.
Published: (2024)

Navigating the Path of Writing: Outline-guided Text Generation with Large Language Models
by: Lee, Yukyung, et al.
Published: (2024)

MASIVE: Open-Ended Affective State Identification in English and Spanish
by: Deas, Nicholas, et al.
Published: (2024)