Cover Image

Evolutionary Pre-Prompt Optimization for Mathematical Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Videau, Mathurin, Leite, Alessandro, Schoenauer, Marc, Teytaud, Olivier
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mixture of Experts in Image Classification: What's the Sweet Spot?
by: Videau, Mathurin, et al.
Published: (2024)

Evolutionary Retrofitting
by: Videau, Mathurin, et al.
Published: (2024)

From Bytes to Ideas: Language Modeling with Autoregressive U-Nets
by: Videau, Mathurin, et al.
Published: (2025)

Tuning without Peeking: Provable Generalization Bounds and Robust LLM Post-Training
by: Labiad, Ismail, et al.
Published: (2025)

Evolutionary Prompt Optimization Discovers Emergent Multimodal Reasoning Strategies in Vision-Language Models
by: Bharthulwar, Sid, et al.
Published: (2025)

Automatic Prompt Optimization for Dataset-Level Feature Discovery
by: Cosma, Adrian, et al.
Published: (2026)

EMPOWER: Evolutionary Medical Prompt Optimization With Reinforcement Learning
by: Chen, Yinda, et al.
Published: (2025)

Gap-Filling Prompting Enhances Code-Assisted Mathematical Reasoning
by: Mohammadkhani, Mohammad Ghiasvand
Published: (2024)

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models
by: Yu, Ye, et al.
Published: (2025)

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning
by: Wu, Muling, et al.
Published: (2025)

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers
by: Guo, Qingyan, et al.
Published: (2023)

PrAg-PO: Prompt Augmented Policy Optimization for Robust and Diverse Mathematical Reasoning
by: Lu, Wenquan, et al.
Published: (2026)

Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting
by: Zhu, Dong-Hai, et al.
Published: (2025)

TAPO: Translation Augmented Policy Optimization for Multilingual Mathematical Reasoning
by: Huang, Xu, et al.
Published: (2026)

A Toolbox for Improving Evolutionary Prompt Search
by: Grießhaber, Daniel, et al.
Published: (2025)

AERO: Autonomous Evolutionary Reasoning Optimization via Endogenous Dual-Loop Feedback
by: Gao, Zhitao, et al.
Published: (2026)

Step-level Value Preference Optimization for Mathematical Reasoning
by: Chen, Guoxin, et al.
Published: (2024)

Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation
by: Hazman, Muzhaffar, et al.
Published: (2025)

Dominance Based Crossover Operator for Evolutionary Multi-objective Algorithms
by: Roudenko, Olga, et al.
Published: (2005)

Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning
by: Singh, Ayush, et al.
Published: (2024)

Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments
by: Baumann, Jill, et al.
Published: (2024)

Expanding Search Space with Diverse Prompting Agents: An Efficient Sampling Approach for LLM Mathematical Reasoning
by: Lee, Gisang, et al.
Published: (2024)

THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning
by: Chang, Qikai, et al.
Published: (2025)

Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models
by: Shi, Fobo, et al.
Published: (2023)

Evaluating Mathematical Reasoning Beyond Accuracy
by: Xia, Shijie, et al.
Published: (2024)

Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning
by: Xu, Huimin, et al.
Published: (2025)

Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models
by: Liao, Haoran, et al.
Published: (2024)

LLM Reasoning Engine: Specialized Training for Enhanced Mathematical Reasoning
by: Chen, Shuguang, et al.
Published: (2024)

Rethinking Prompt Optimizers: From Prompt Merits to Optimization
by: Zhu, Zixiao, et al.
Published: (2025)

Less Is More: Cognitive Load and the Single-Prompt Ceiling in LLM Mathematical Reasoning
by: Cazares, Manuel Israel
Published: (2026)

PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models
by: Zhao, Xueliang, et al.
Published: (2025)

"According to ...": Prompting Language Models Improves Quoting from Pre-Training Data
by: Weller, Orion, et al.
Published: (2023)

Revisiting Prompt Optimization with Large Reasoning Models-A Case Study on Event Extraction
by: Srivastava, Saurabh, et al.
Published: (2025)

YFPO: A Preliminary Study of Yoked Feature Preference Optimization with Neuron-Guided Rewards for Mathematical Reasoning
by: Le, Yifan
Published: (2026)

CoT-Evo: Evolutionary Distillation of Chain-of-Thought for Scientific Reasoning
by: Feng, Kehua, et al.
Published: (2025)

Enhancing Mathematical Reasoning in LLMs by Stepwise Correction
by: Wu, Zhenyu, et al.
Published: (2024)

Exploring the Mystery of Influential Data for Mathematical Reasoning
by: Ni, Xinzhe, et al.
Published: (2024)

MMATH: A Multilingual Benchmark for Mathematical Reasoning
by: Luo, Wenyang, et al.
Published: (2025)

Multimodal Mathematical Reasoning with Diverse Solving Perspective
by: Shi, Wenhao, et al.
Published: (2025)

Toward Automated Robustness Evaluation of Mathematical Reasoning
by: Hou, Yutao, et al.
Published: (2025)