$Image de couverture de livre$

Investigating Bias: A Multilingual Pipeline for Generating, Solving, and Evaluating Math Problems with LLMs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Mahran, Mariam, Simbeck, Katharina
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

GPT and Prejudice: A Sparse Approach to Understanding Learned Representations in Large Language Models
par: Mahran, Mariam, et autres
Publié: (2025)

Mechanistic Interpretability with SAEs: Probing Religion, Violence, and Geography in Large Language Models
par: Simbeck, Katharina, et autres
Publié: (2025)

Decomposing Elements of Problem Solving: What "Math" Does RL Teach?
par: Qin, Tian, et autres
Publié: (2025)

Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation
par: Mahdavi, Sadegh, et autres
Publié: (2025)

Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns?
par: Kao, Kuei-Chun, et autres
Publié: (2024)

MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
par: Opedal, Andreas, et autres
Publié: (2024)

Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer Models
par: Era, Jalisha Jashim, et autres
Publié: (2025)

Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems
par: Khan, Zaid, et autres
Publié: (2025)

RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems
par: Qu, Yuxiao, et autres
Publié: (2025)

TreeCut: A Synthetic Unanswerable Math Word Problem Dataset for LLM Hallucination Evaluation
par: Ouyang, Jialin
Publié: (2025)

BrokenMath: A Benchmark for Sycophancy in Theorem Proving with LLMs
par: Petrov, Ivo, et autres
Publié: (2025)

ControlMath: Controllable Data Generation Promotes Math Generalist Models
par: Chen, Nuo, et autres
Publié: (2024)

Augmenting Math Word Problems via Iterative Question Composing
par: Liu, Haoxiong, et autres
Publié: (2024)

An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning
par: Chen, Zui, et autres
Publié: (2024)

Deconfounded Causality-aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMs
par: Wang, Ruoyu, et autres
Publié: (2024)

FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline
par: Seegmiller, Parker, et autres
Publié: (2025)

When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning
par: Singhi, Nishad, et autres
Publié: (2025)

Relative Bias: A Comparative Framework for Quantifying Bias in LLMs
par: Arbabi, Alireza, et autres
Publié: (2025)

Do Multilingual LLMs Think In English?
par: Schut, Lisa, et autres
Publié: (2025)

MORPHOGEN: A Multilingual Benchmark for Evaluating Gender-Aware Morphological Generation
par: Agarwal, Mehul, et autres
Publié: (2026)

Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective
par: Jesson, Andrew, et autres
Publié: (2024)

Teaching LLMs for Step-Level Automatic Math Correction via Reinforcement Learning
par: Li, Junsong, et autres
Publié: (2025)

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations
par: Huang, Kaixuan, et autres
Publié: (2025)

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
par: Wang, Peiyi, et autres
Publié: (2023)

MathPile: A Billion-Token-Scale Pretraining Corpus for Math
par: Wang, Zengzhi, et autres
Publié: (2023)

MegaMath: Pushing the Limits of Open Math Corpora
par: Zhou, Fan, et autres
Publié: (2025)

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
par: Wang, Xiaoxuan, et autres
Publié: (2023)

The Impact of Inference Acceleration on Bias of LLMs
par: Kirsten, Elisabeth, et autres
Publié: (2024)

Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification
par: Pecher, Branislav, et autres
Publié: (2026)

An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical Problems
par: Hao, Yuren, et autres
Publié: (2025)

Debiasing Multilingual LLMs in Cross-lingual Latent Space
par: Peng, Qiwei, et autres
Publié: (2025)

Code-Switching Curriculum Learning for Multilingual Transfer in LLMs
par: Yoo, Haneul, et autres
Publié: (2024)

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning
par: Li, Chengpeng, et autres
Publié: (2023)

OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
par: Toshniwal, Shubham, et autres
Publié: (2024)

Beyond LLM-as-a-Judge: Deterministic Metrics for Multilingual Generative Text Evaluation
par: Alam, Firoj, et autres
Publié: (2026)

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
par: Saha, Swarnadeep, et autres
Publié: (2023)

Measuring Evaluation-Context Divergence in Open-Weight LLMs: A Paired-Prompt Protocol with Pilot Evidence of Alignment-Pipeline-Specific Heterogeneity
par: Burnat, Florian A. D., et autres
Publié: (2026)

AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling
par: Liu, Zihan, et autres
Publié: (2024)

Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset
par: Mahabadi, Rabeeh Karimi, et autres
Publié: (2025)

Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
par: Albalak, Alon, et autres
Publié: (2025)