MatheMagic: Generating Dynamic Mathematics Benchmarks Robust to Memorization
Fuente:
arXiv
Saved in:
| Main Authors: | O'Brien, Dayyán, Haddow, Barry, Allaway, Emily, Chen, Pinzhen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generics are puzzling. Can language models find the missing piece?
by: Calderón, Gustavo Cilleruelo, et al.
Published: (2024)
by: Calderón, Gustavo Cilleruelo, et al.
Published: (2024)
DocHPLT: A Massively Multilingual Document-Level Translation Dataset
by: O'Brien, Dayyán, et al.
Published: (2025)
by: O'Brien, Dayyán, et al.
Published: (2025)
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?
by: Chen, Pinzhen, et al.
Published: (2024)
by: Chen, Pinzhen, et al.
Published: (2024)
Iterative Translation Refinement with Large Language Models
by: Chen, Pinzhen, et al.
Published: (2023)
by: Chen, Pinzhen, et al.
Published: (2023)
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
by: Chen, Pinzhen, et al.
Published: (2023)
by: Chen, Pinzhen, et al.
Published: (2023)
MGen: Millions of Naturally Occurring Generics in Context
by: Cilleruelo, Gustavo, et al.
Published: (2025)
by: Cilleruelo, Gustavo, et al.
Published: (2025)
Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Task
by: Ranaldi, Leonardo, et al.
Published: (2025)
by: Ranaldi, Leonardo, et al.
Published: (2025)
EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language Models
by: Ji, Shaoxiong, et al.
Published: (2024)
by: Ji, Shaoxiong, et al.
Published: (2024)
Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models
by: Stepachev, Pavel, et al.
Published: (2024)
by: Stepachev, Pavel, et al.
Published: (2024)
RoMath: A Mathematical Reasoning Benchmark in Romanian
by: Cosma, Adrian, et al.
Published: (2024)
by: Cosma, Adrian, et al.
Published: (2024)
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models
by: Zou, Chengke, et al.
Published: (2024)
by: Zou, Chengke, et al.
Published: (2024)
MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data
by: Fang, Meng, et al.
Published: (2024)
by: Fang, Meng, et al.
Published: (2024)
The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics
by: Bogoychev, Nikolay, et al.
Published: (2023)
by: Bogoychev, Nikolay, et al.
Published: (2023)
TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving
by: Colle, Vincenzo, et al.
Published: (2025)
by: Colle, Vincenzo, et al.
Published: (2025)
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models
by: Wu, Yanan, et al.
Published: (2024)
by: Wu, Yanan, et al.
Published: (2024)
FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models
by: Liu, Yan, et al.
Published: (2024)
by: Liu, Yan, et al.
Published: (2024)
Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
by: Prashanth, USVSN Sai, et al.
Published: (2024)
by: Prashanth, USVSN Sai, et al.
Published: (2024)
XL-Suite: Cross-Lingual Synthetic Training and Evaluation Data for Open-Ended Generation
by: Iyer, Vivek, et al.
Published: (2025)
by: Iyer, Vivek, et al.
Published: (2025)
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs
by: Lu, Zimu, et al.
Published: (2024)
by: Lu, Zimu, et al.
Published: (2024)
VisAidMath: Benchmarking Visual-Aided Mathematical Reasoning
by: Ma, Jingkun, et al.
Published: (2024)
by: Ma, Jingkun, et al.
Published: (2024)
MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis
by: Yu, Zixiong, et al.
Published: (2026)
by: Yu, Zixiong, et al.
Published: (2026)
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
by: Tong, Yuxuan, et al.
Published: (2024)
by: Tong, Yuxuan, et al.
Published: (2024)
MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models
by: Peng, Shuai, et al.
Published: (2024)
by: Peng, Shuai, et al.
Published: (2024)
Context Memorization for Efficient Long Context Generation
by: Okoshi, Yasuyuki, et al.
Published: (2026)
by: Okoshi, Yasuyuki, et al.
Published: (2026)
SuperCLUE-Math6: Graded Multi-Step Math Reasoning Benchmark for LLMs in Chinese
by: Xu, Liang, et al.
Published: (2024)
by: Xu, Liang, et al.
Published: (2024)
MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
by: Yang, Zhen, et al.
Published: (2024)
by: Yang, Zhen, et al.
Published: (2024)
Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning
by: Zhu, Wenhao, et al.
Published: (2025)
by: Zhu, Wenhao, et al.
Published: (2025)
DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning
by: Shao, Zhihong, et al.
Published: (2025)
by: Shao, Zhihong, et al.
Published: (2025)
MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion
by: Pei, Qizhi, et al.
Published: (2025)
by: Pei, Qizhi, et al.
Published: (2025)
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
by: Yu, Longhui, et al.
Published: (2023)
by: Yu, Longhui, et al.
Published: (2023)
MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula
by: Hyeon, Sieun, et al.
Published: (2024)
by: Hyeon, Sieun, et al.
Published: (2024)
Pitfalls and Outlooks in Using COMET
by: Zouhar, Vilém, et al.
Published: (2024)
by: Zouhar, Vilém, et al.
Published: (2024)
Kakugo: Distillation of Low-Resource Languages into Small Language Models
by: Devine, Peter, et al.
Published: (2026)
by: Devine, Peter, et al.
Published: (2026)
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
by: Tang, Zhengyang, et al.
Published: (2024)
by: Tang, Zhengyang, et al.
Published: (2024)
An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical Problems
by: Hao, Yuren, et al.
Published: (2025)
by: Hao, Yuren, et al.
Published: (2025)
AgenticMath: Enhancing LLM Reasoning via Agentic-based Math Data Generation
by: Liu, Xianyang, et al.
Published: (2025)
by: Liu, Xianyang, et al.
Published: (2025)
ControlMath: Controllable Data Generation Promotes Math Generalist Models
by: Chen, Nuo, et al.
Published: (2024)
by: Chen, Nuo, et al.
Published: (2024)
AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment
by: Xiao, Jianfei, et al.
Published: (2026)
by: Xiao, Jianfei, et al.
Published: (2026)
Adversarial Math Word Problem Generation
by: Xie, Roy, et al.
Published: (2024)
by: Xie, Roy, et al.
Published: (2024)
MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task
by: Yan, Yuchen, et al.
Published: (2025)
by: Yan, Yuchen, et al.
Published: (2025)
Similar Items
-
Generics are puzzling. Can language models find the missing piece?
by: Calderón, Gustavo Cilleruelo, et al.
Published: (2024) -
DocHPLT: A Massively Multilingual Document-Level Translation Dataset
by: O'Brien, Dayyán, et al.
Published: (2025) -
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?
by: Chen, Pinzhen, et al.
Published: (2024) -
Iterative Translation Refinement with Large Language Models
by: Chen, Pinzhen, et al.
Published: (2023) -
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
by: Chen, Pinzhen, et al.
Published: (2023)