Saved in:
| Main Authors: | Pándy, Árpád, Lakatos, Róbert, Hajdu, András |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.13323 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems
by: Lakatos, Robert, et al.
Published: (2024)
by: Lakatos, Robert, et al.
Published: (2024)
Lower-dimensional projections of cellular expression improves cell type classification from single-cell RNA sequencing
by: Umar, Muhammad, et al.
Published: (2024)
by: Umar, Muhammad, et al.
Published: (2024)
A multimodal deep learning architecture for smoking detection with a small data approach
by: Lakatos, Robert, et al.
Published: (2023)
by: Lakatos, Robert, et al.
Published: (2023)
MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
by: Wang, Ziqing, et al.
Published: (2026)
by: Wang, Ziqing, et al.
Published: (2026)
A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews
by: Lakatos, Robert, et al.
Published: (2023)
by: Lakatos, Robert, et al.
Published: (2023)
Error Taxonomy-Guided Prompt Optimization
by: Singh, Mayank, et al.
Published: (2026)
by: Singh, Mayank, et al.
Published: (2026)
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)
Optimizing Reasoning Efficiency through Prompt Difficulty Prediction
by: Zhao, Bo, et al.
Published: (2025)
by: Zhao, Bo, et al.
Published: (2025)
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)
Beyond Error-Based Optimization: Experience-Driven Symbolic Regression with Goal-Conditioned Reinforcement Learning
by: Sun, Jianwen, et al.
Published: (2026)
by: Sun, Jianwen, et al.
Published: (2026)
Integrating Arithmetic Learning Improves Mathematical Reasoning in Smaller Models
by: Gangwar, Neeraj, et al.
Published: (2025)
by: Gangwar, Neeraj, et al.
Published: (2025)
How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs
by: Feng, Guhao, et al.
Published: (2024)
by: Feng, Guhao, et al.
Published: (2024)
Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
by: Hersche, Michael, et al.
Published: (2024)
by: Hersche, Michael, et al.
Published: (2024)
TextBFGS: A Case-Based Reasoning Approach to Code Optimization via Error-Operator Retrieval
by: Zhang, Zizheng, et al.
Published: (2026)
by: Zhang, Zizheng, et al.
Published: (2026)
Automated Optimization Modeling via a Localizable Error-Driven Perspective
by: Liu, Weiting, et al.
Published: (2026)
by: Liu, Weiting, et al.
Published: (2026)
Prompt-Driven Continual Graph Learning
by: Wang, Qi, et al.
Published: (2025)
by: Wang, Qi, et al.
Published: (2025)
Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors
by: Wang, Jinping, et al.
Published: (2025)
by: Wang, Jinping, et al.
Published: (2025)
From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection
by: Wang, Luzhi, et al.
Published: (2026)
by: Wang, Luzhi, et al.
Published: (2026)
Latent Veracity Inference for Identifying Errors in Stepwise Reasoning
by: Kim, Minsu, et al.
Published: (2025)
by: Kim, Minsu, et al.
Published: (2025)
Arithmetic-Intensity-Aware Quantization
by: Singh, Taig, et al.
Published: (2025)
by: Singh, Taig, et al.
Published: (2025)
Prompt Optimization with Human Feedback
by: Lin, Xiaoqiang, et al.
Published: (2024)
by: Lin, Xiaoqiang, et al.
Published: (2024)
PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models
by: Yu, Ye, et al.
Published: (2025)
by: Yu, Ye, et al.
Published: (2025)
Exact Learning of Arithmetic with Differentiable Agents
by: Papazov, Hristo, et al.
Published: (2025)
by: Papazov, Hristo, et al.
Published: (2025)
Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
by: Yu, Erxin, et al.
Published: (2025)
by: Yu, Erxin, et al.
Published: (2025)
Automatic Prompt Optimization with Prompt Distillation
by: Dyagin, Ernest A., et al.
Published: (2025)
by: Dyagin, Ernest A., et al.
Published: (2025)
Verification of the Implicit World Model in a Generative Model via Adversarial Sequences
by: Balogh, András, et al.
Published: (2026)
by: Balogh, András, et al.
Published: (2026)
From Fuzzy to Exact: The Halo Architecture for Infinite-Depth Reasoning via Rational Arithmetic
by: Ren, Hansheng
Published: (2026)
by: Ren, Hansheng
Published: (2026)
PrAg-PO: Prompt Augmented Policy Optimization for Robust and Diverse Mathematical Reasoning
by: Lu, Wenquan, et al.
Published: (2026)
by: Lu, Wenquan, et al.
Published: (2026)
ECCO: Evidence-Driven Causal Reasoning for Compiler Optimization
by: Pan, Haolin, et al.
Published: (2026)
by: Pan, Haolin, et al.
Published: (2026)
Mitigating Estimation Bias with Representation Learning in TD Error-Driven Regularization
by: Chen, Haohui, et al.
Published: (2025)
by: Chen, Haohui, et al.
Published: (2025)
Double Actor-Critic with TD Error-Driven Regularization in Reinforcement Learning
by: Chen, Haohui, et al.
Published: (2024)
by: Chen, Haohui, et al.
Published: (2024)
Transformers Can Do Arithmetic with the Right Embeddings
by: McLeish, Sean, et al.
Published: (2024)
by: McLeish, Sean, et al.
Published: (2024)
Group Distributionally Robust Optimization-Driven Reinforcement Learning for LLM Reasoning
by: Panaganti, Kishan, et al.
Published: (2026)
by: Panaganti, Kishan, et al.
Published: (2026)
HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs
by: Zeng, Xinyue, et al.
Published: (2026)
by: Zeng, Xinyue, et al.
Published: (2026)
Local Prompt Optimization
by: Jain, Yash, et al.
Published: (2025)
by: Jain, Yash, et al.
Published: (2025)
Frontier LLMs Still Struggle with Simple Reasoning Tasks
by: Malek, Alan, et al.
Published: (2025)
by: Malek, Alan, et al.
Published: (2025)
A Survey of Automatic Prompt Engineering: An Optimization Perspective
by: Li, Wenwu, et al.
Published: (2025)
by: Li, Wenwu, et al.
Published: (2025)
P^2O: Joint Policy and Prompt Optimization
by: Lu, Xinyu, et al.
Published: (2026)
by: Lu, Xinyu, et al.
Published: (2026)
PromptWizard: Task-Aware Prompt Optimization Framework
by: Agarwal, Eshaan, et al.
Published: (2024)
by: Agarwal, Eshaan, et al.
Published: (2024)
Prompts Generalize with Low Data: Non-vacuous Generalization Bounds for Optimizing Prompts with More Informative Priors
by: Madras, David, et al.
Published: (2025)
by: Madras, David, et al.
Published: (2025)
Similar Items
-
Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems
by: Lakatos, Robert, et al.
Published: (2024) -
Lower-dimensional projections of cellular expression improves cell type classification from single-cell RNA sequencing
by: Umar, Muhammad, et al.
Published: (2024) -
A multimodal deep learning architecture for smoking detection with a small data approach
by: Lakatos, Robert, et al.
Published: (2023) -
MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
by: Wang, Ziqing, et al.
Published: (2026) -
A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews
by: Lakatos, Robert, et al.
Published: (2023)