Saved in:
| Main Authors: | Slama, Farah Ben, Armetta, Frédéric |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.07898 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Assisted Debate Builder with Large Language Models
by: Faugier, Elliot, et al.
Published: (2024)
by: Faugier, Elliot, et al.
Published: (2024)
Leveraging Graph Structures and Large Language Models for End-to-End Synthetic Task-Oriented Dialogues
by: Medjad, Maya, et al.
Published: (2025)
by: Medjad, Maya, et al.
Published: (2025)
A Careful Examination of Large Language Model Performance on Grade School Arithmetic
by: Zhang, Hugh, et al.
Published: (2024)
by: Zhang, Hugh, et al.
Published: (2024)
Are Large-Language Models Graph Algorithmic Reasoners?
by: Taylor, Alexander K, et al.
Published: (2024)
by: Taylor, Alexander K, et al.
Published: (2024)
Confidence Calibration in Large Language Models
by: Michael, Noam, et al.
Published: (2026)
by: Michael, Noam, et al.
Published: (2026)
Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
by: Luo, Zheng, et al.
Published: (2026)
by: Luo, Zheng, et al.
Published: (2026)
Flaming-hot Initiation with Regular Execution Sampling for Large Language Models
by: Chen, Weizhe, et al.
Published: (2024)
by: Chen, Weizhe, et al.
Published: (2024)
Chain of Execution Supervision Promotes General Reasoning in Large Language Models
by: Chen, Nuo, et al.
Published: (2025)
by: Chen, Nuo, et al.
Published: (2025)
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks
by: Gambardella, Andrew, et al.
Published: (2024)
by: Gambardella, Andrew, et al.
Published: (2024)
Fine-tuning Large Language Model for Automated Algorithm Design
by: Liu, Fei, et al.
Published: (2025)
by: Liu, Fei, et al.
Published: (2025)
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
by: Yue, Yang, et al.
Published: (2024)
by: Yue, Yang, et al.
Published: (2024)
Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges
by: Shrestha, Safal, et al.
Published: (2025)
by: Shrestha, Safal, et al.
Published: (2025)
Learning to Execute Graph Algorithms Exactly with Graph Neural Networks
by: Qharabagh, Muhammad Fetrat, et al.
Published: (2026)
by: Qharabagh, Muhammad Fetrat, et al.
Published: (2026)
CPLLM: Clinical Prediction with Large Language Models
by: Shoham, Ofir Ben, et al.
Published: (2023)
by: Shoham, Ofir Ben, et al.
Published: (2023)
Evolutionary Discovery of Reinforcement Learning Algorithms via Large Language Models
by: Sygkounas, Alkis, et al.
Published: (2026)
by: Sygkounas, Alkis, et al.
Published: (2026)
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
by: Dong, Guanting, et al.
Published: (2024)
by: Dong, Guanting, et al.
Published: (2024)
Low-Dimensional Execution Manifolds in Transformer Learning Dynamics: Evidence from Modular Arithmetic Tasks
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
RevOrder: A Novel Method for Enhanced Arithmetic in Language Models
by: Shen, Si, et al.
Published: (2024)
by: Shen, Si, et al.
Published: (2024)
D-STGCNT: A Dense Spatio-Temporal Graph Conv-GRU Network based on transformer for assessment of patient physical rehabilitation
by: Mourchid, Youssef, et al.
Published: (2023)
by: Mourchid, Youssef, et al.
Published: (2023)
Dynamical Systems Analysis Reveals Functional Regimes in Large Language Models
by: Ugail, Hassan, et al.
Published: (2026)
by: Ugail, Hassan, et al.
Published: (2026)
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
by: Wu, Hong-Wei, et al.
Published: (2024)
by: Wu, Hong-Wei, et al.
Published: (2024)
Arithmetic-Intensity-Aware Quantization
by: Singh, Taig, et al.
Published: (2025)
by: Singh, Taig, et al.
Published: (2025)
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
by: Dugan, Owen, et al.
Published: (2024)
by: Dugan, Owen, et al.
Published: (2024)
Episodic Memories Generation and Evaluation Benchmark for Large Language Models
by: Huet, Alexis, et al.
Published: (2025)
by: Huet, Alexis, et al.
Published: (2025)
A Systematic Survey on Large Language Models for Algorithm Design
by: Liu, Fei, et al.
Published: (2024)
by: Liu, Fei, et al.
Published: (2024)
Principled Understanding of Generalization for Generative Transformer Models in Arithmetic Reasoning Tasks
by: Xu, Xingcheng, et al.
Published: (2024)
by: Xu, Xingcheng, et al.
Published: (2024)
Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?
by: Sinha, Neelabh, et al.
Published: (2024)
by: Sinha, Neelabh, et al.
Published: (2024)
Exact Learning of Arithmetic with Differentiable Agents
by: Papazov, Hristo, et al.
Published: (2025)
by: Papazov, Hristo, et al.
Published: (2025)
mind_call: A Dataset for Mental Health Function Calling with Large Language Models
by: Shafi, Fozle Rabbi, et al.
Published: (2026)
by: Shafi, Fozle Rabbi, et al.
Published: (2026)
An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications
by: Garrido-Merchán, Eduardo C., et al.
Published: (2023)
by: Garrido-Merchán, Eduardo C., et al.
Published: (2023)
NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms
by: Panagiotaki, Efimia, et al.
Published: (2024)
by: Panagiotaki, Efimia, et al.
Published: (2024)
SysTemp: A Multi-Agent System for Template-Based Generation of SysML v2
by: Bouamra, Yasmine, et al.
Published: (2025)
by: Bouamra, Yasmine, et al.
Published: (2025)
Resource-Efficient Transformer Architecture: Optimizing Memory and Execution Time for Real-Time Applications
by: V, Krisvarish, et al.
Published: (2024)
by: V, Krisvarish, et al.
Published: (2024)
SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models
by: Choi, Hyeonbeom, et al.
Published: (2026)
by: Choi, Hyeonbeom, et al.
Published: (2026)
Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing
by: Toral, Lukas, et al.
Published: (2025)
by: Toral, Lukas, et al.
Published: (2025)
Error-Driven Prompt Optimization for Arithmetic Reasoning
by: Pándy, Árpád, et al.
Published: (2025)
by: Pándy, Árpád, et al.
Published: (2025)
Transformers Can Do Arithmetic with the Right Embeddings
by: McLeish, Sean, et al.
Published: (2024)
by: McLeish, Sean, et al.
Published: (2024)
Pruning Large Language Models by Identifying and Preserving Functional Networks
by: Liu, Yiheng, et al.
Published: (2025)
by: Liu, Yiheng, et al.
Published: (2025)
Correcting Large Language Model Behavior via Influence Function
by: Zhang, Han, et al.
Published: (2024)
by: Zhang, Han, et al.
Published: (2024)
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques
by: Jaffal, Niveen O., et al.
Published: (2025)
by: Jaffal, Niveen O., et al.
Published: (2025)
Similar Items
-
Assisted Debate Builder with Large Language Models
by: Faugier, Elliot, et al.
Published: (2024) -
Leveraging Graph Structures and Large Language Models for End-to-End Synthetic Task-Oriented Dialogues
by: Medjad, Maya, et al.
Published: (2025) -
A Careful Examination of Large Language Model Performance on Grade School Arithmetic
by: Zhang, Hugh, et al.
Published: (2024) -
Are Large-Language Models Graph Algorithmic Reasoners?
by: Taylor, Alexander K, et al.
Published: (2024) -
Confidence Calibration in Large Language Models
by: Michael, Noam, et al.
Published: (2026)