Cover Image

Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Siyuan, Didolkar, Aniket, Ke, Nan Rosemary, Goyal, Anirudh, Huszár, Ferenc, Schölkopf, Bernhard
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
by: Didolkar, Aniket, et al.
Published: (2024)

Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning
by: Reizinger, Patrik, et al.
Published: (2024)

Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors
by: Didolkar, Aniket, et al.
Published: (2025)

Counterfactual reasoning: an analysis of in-context emergence
by: Miller, Moritz, et al.
Published: (2025)

Rethinking Thinking Tokens: LLMs as Improvement Operators
by: Madaan, Lovish, et al.
Published: (2025)

Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2022)

Out-of-Variable Generalization for Discriminative Models
by: Guo, Siyuan, et al.
Published: (2023)

Do Finetti: On Causal Effects for Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2024)

Improving Large Language Model Safety with Contrastive Representation Learning
by: Simko, Samuel, et al.
Published: (2025)

Beyond the Boundaries of Proximal Policy Optimization
by: Tan, Charlie B., et al.
Published: (2024)

Identifying Intervenable and Interpretable Features via Orthogonality Regularization
by: Miller, Moritz, et al.
Published: (2026)

Masked Generative Priors Improve World Models Sequence Modelling Capabilities
by: Meo, Cristian, et al.
Published: (2024)

Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
by: Lyu, Kaifeng, et al.
Published: (2024)

Can Models Learn Skill Composition from Examples?
by: Zhao, Haoyu, et al.
Published: (2024)

Limits of Transformer Language Models on Learning to Compose Algorithms
by: Thomm, Jonathan, et al.
Published: (2024)

Learning to Reason Efficiently with A* Post-Training
by: Opedal, Andreas, et al.
Published: (2026)

Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning
by: Reizinger, Patrik, et al.
Published: (2025)

CausalCite: A Causal Formulation of Paper Citations
by: Kumar, Ishan, et al.
Published: (2023)

MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
by: Opedal, Andreas, et al.
Published: (2024)

Memorization vs. Reasoning: Updating LLMs with New Knowledge
by: Li, Aochong Oliver, et al.
Published: (2025)

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)

Reparameterized LLM Training via Orthogonal Equivalence Transformation
by: Qiu, Zeju, et al.
Published: (2025)

Generalized Interpolating Discrete Diffusion
by: von Rütte, Dimitri, et al.
Published: (2025)

KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs
by: Xu, Yongqin, et al.
Published: (2024)

BooookScore: A systematic exploration of book-length summarization in the era of LLMs
by: Chang, Yapei, et al.
Published: (2023)

Orthogonal Finetuning Made Scalable
by: Qiu, Zeju, et al.
Published: (2025)

A Probabilistic Model Behind Self-Supervised Learning
by: Bizeul, Alice, et al.
Published: (2024)

LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs
by: Davoodi, Arash Gholami, et al.
Published: (2024)

CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
by: Didolkar, Aniket, et al.
Published: (2025)

The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions
by: Artiles, Alejandro H., et al.
Published: (2026)

Response-Level Rewards Are All You Need for Online Reinforcement Learning in LLMs: A Mathematical Perspective
by: He, Shenghua, et al.
Published: (2025)

Can Large Language Models Infer Causation from Correlation?
by: Jin, Zhijing, et al.
Published: (2023)

Analyzing the Role of Semantic Representations in the Era of Large Language Models
by: Jin, Zhijing, et al.
Published: (2024)

Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
by: Opedal, Andreas, et al.
Published: (2024)

A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis
by: Gao, Xin, et al.
Published: (2025)

A comprehensive study of on-device NLP applications -- VQA, automated Form filling, Smart Replies for Linguistic Codeswitching
by: Goyal, Naman
Published: (2024)

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
by: Yu, Erxin, et al.
Published: (2025)

ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges
by: Qian, Cheng, et al.
Published: (2025)

IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning
by: Joshi, Abhinav, et al.
Published: (2024)

Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
by: Singh, Joykirat, et al.
Published: (2024)