Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
Fuente:
arXiv
Guardado en:
| Autores principales: | Didolkar, Aniket, Goyal, Anirudh, Ke, Nan Rosemary, Guo, Siyuan, Valko, Michal, Lillicrap, Timothy, Rezende, Danilo, Bengio, Yoshua, Mozer, Michael, Arora, Sanjeev |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors
por: Didolkar, Aniket, et al.
Publicado: (2025)
por: Didolkar, Aniket, et al.
Publicado: (2025)
Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs
por: Guo, Siyuan, et al.
Publicado: (2024)
por: Guo, Siyuan, et al.
Publicado: (2024)
Zero-Shot Object-Centric Representation Learning
por: Didolkar, Aniket, et al.
Publicado: (2024)
por: Didolkar, Aniket, et al.
Publicado: (2024)
AI-Assisted Generation of Difficult Math Questions
por: Shah, Vedant, et al.
Publicado: (2024)
por: Shah, Vedant, et al.
Publicado: (2024)
Unlearning via Sparse Representations
por: Shah, Vedant, et al.
Publicado: (2023)
por: Shah, Vedant, et al.
Publicado: (2023)
Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases
por: Meo, Cristian, et al.
Publicado: (2024)
por: Meo, Cristian, et al.
Publicado: (2024)
Rethinking Thinking Tokens: LLMs as Improvement Operators
por: Madaan, Lovish, et al.
Publicado: (2025)
por: Madaan, Lovish, et al.
Publicado: (2025)
Masked Generative Priors Improve World Models Sequence Modelling Capabilities
por: Meo, Cristian, et al.
Publicado: (2024)
por: Meo, Cristian, et al.
Publicado: (2024)
On the Impossibility of Retrain Equivalence in Machine Unlearning
por: Yu, Jiatong, et al.
Publicado: (2025)
por: Yu, Jiatong, et al.
Publicado: (2025)
Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning
por: Kaur, Simran, et al.
Publicado: (2024)
por: Kaur, Simran, et al.
Publicado: (2024)
Metacognitive Skills of Malaysian Students in Non-Routine Mathematical Problem Solving
por: Abdul Halim Abdullah
Publicado: (2017)
por: Abdul Halim Abdullah
Publicado: (2017)
Can foundation models actively gather information in interactive environments to test hypotheses?
por: Sawyer, Danny P., et al.
Publicado: (2024)
por: Sawyer, Danny P., et al.
Publicado: (2024)
Can Models Learn Skill Composition from Examples?
por: Zhao, Haoyu, et al.
Publicado: (2024)
por: Zhao, Haoyu, et al.
Publicado: (2024)
Machine learning and information theory concepts towards an AI Mathematician
por: Bengio, Yoshua, et al.
Publicado: (2024)
por: Bengio, Yoshua, et al.
Publicado: (2024)
Cascaded Information Disclosure for Generalized Evaluation of Problem Solving Capabilities
por: Yan, Yunxiang, et al.
Publicado: (2025)
por: Yan, Yunxiang, et al.
Publicado: (2025)
Baking Symmetry into GFlowNets
por: Ma, George, et al.
Publicado: (2024)
por: Ma, George, et al.
Publicado: (2024)
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
por: Lyu, Kaifeng, et al.
Publicado: (2024)
por: Lyu, Kaifeng, et al.
Publicado: (2024)
Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?
por: Park, Simon, et al.
Publicado: (2025)
por: Park, Simon, et al.
Publicado: (2025)
Bandits on graphs and structures
por: Valko, Michal
Publicado: (2026)
por: Valko, Michal
Publicado: (2026)
Adaptive graph-based algorithms for conditional anomaly detection and semi-supervised learning
por: Valko, Michal
Publicado: (2026)
por: Valko, Michal
Publicado: (2026)
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
por: Xie, Yuxi, et al.
Publicado: (2024)
por: Xie, Yuxi, et al.
Publicado: (2024)
Escaping the Cognitive Well: Efficient Competition Math with Off-the-Shelf Models
por: Dang, Xingyu, et al.
Publicado: (2026)
por: Dang, Xingyu, et al.
Publicado: (2026)
MDToC: Metacognitive Dynamic Tree of Concepts for Boosting Mathematical Problem-Solving of Large Language Models
por: Ta, Tung Duong, et al.
Publicado: (2025)
por: Ta, Tung Duong, et al.
Publicado: (2025)
Metacognitive Behaviour of Malaysian Students While Solving Mathematical Problems of Form Three Assessment (PT3)
por: Abdul Halim Abdullah
Publicado: (2017)
por: Abdul Halim Abdullah
Publicado: (2017)
Noticing the Watcher: LLM Agents Can Infer CoT Monitoring from Blocking Feedback
por: Jiralerspong, Thomas, et al.
Publicado: (2026)
por: Jiralerspong, Thomas, et al.
Publicado: (2026)
Social networks and the firm
por: Sanjeev Goyal
Publicado: (2016)
por: Sanjeev Goyal
Publicado: (2016)
Social networks and the firm
por: Sanjeev Goyal
Publicado: (2016)
por: Sanjeev Goyal
Publicado: (2016)
Understanding Collaborative Problem-Solving on the Move: A Design Science Research Journey
por: Rosemary Francisco
Publicado: (2020)
por: Rosemary Francisco
Publicado: (2020)
Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks
por: Anand, Avinash, et al.
Publicado: (2024)
por: Anand, Avinash, et al.
Publicado: (2024)
Training Agents Inside of Scalable World Models
por: Hafner, Danijar, et al.
Publicado: (2025)
por: Hafner, Danijar, et al.
Publicado: (2025)
AI‐Augmented Approaches to Creative Problem‐Solving: A Metacognitive Perspective
por: Christian Hoßbach, et al.
Publicado: (2025)
por: Christian Hoßbach, et al.
Publicado: (2025)
Construction of aTaxonomy of Metacognitive Activities to Characterize Problem Solving Learning
por: María Elena Bernal Loaiza
Publicado: (2021)
por: María Elena Bernal Loaiza
Publicado: (2021)
Feature importance analysis for patient management decisions
por: Valko, Michal, et al.
Publicado: (2026)
por: Valko, Michal, et al.
Publicado: (2026)
Online combinatorial optimization with stochastic decision sets and adversarial losses
por: Neu, Gergely, et al.
Publicado: (2026)
por: Neu, Gergely, et al.
Publicado: (2026)
Distance metric learning for conditional anomaly detection
por: Valko, Michal, et al.
Publicado: (2026)
por: Valko, Michal, et al.
Publicado: (2026)
Learning from a single labeled face and a stream of unlabeled data
por: Kveton, Branislav, et al.
Publicado: (2026)
por: Kveton, Branislav, et al.
Publicado: (2026)
Revealing graph bandits for maximizing local influence
por: Carpentier, Alexandra, et al.
Publicado: (2026)
por: Carpentier, Alexandra, et al.
Publicado: (2026)
Extreme bandits
por: Carpentier, Alexandra, et al.
Publicado: (2026)
por: Carpentier, Alexandra, et al.
Publicado: (2026)
On Generalization for Generative Flow Networks
por: Krichel, Anas, et al.
Publicado: (2024)
por: Krichel, Anas, et al.
Publicado: (2024)
Interventional Causal Representation Learning
por: Ahuja, Kartik, et al.
Publicado: (2022)
por: Ahuja, Kartik, et al.
Publicado: (2022)
Ejemplares similares
-
Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors
por: Didolkar, Aniket, et al.
Publicado: (2025) -
Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs
por: Guo, Siyuan, et al.
Publicado: (2024) -
Zero-Shot Object-Centric Representation Learning
por: Didolkar, Aniket, et al.
Publicado: (2024) -
AI-Assisted Generation of Difficult Math Questions
por: Shah, Vedant, et al.
Publicado: (2024) -
Unlearning via Sparse Representations
por: Shah, Vedant, et al.
Publicado: (2023)