ReVEL: Multi-Turn Reflective LLM-Guided Heuristic Evolution via Structured Performance Feedback

arXiv:2604.04940 · cs.AI · Submitted 2026-03-05 · Read on arXiv

cs.AI

Submitted: 2026-03-05

Updated: 2026-08-29

Code: https://github.com/datphamvn/HSEvo

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Combinatorial Optimization — 18× in this paper · explained in 2 episodes
• Benchmark — 15× in this paper · explained in 2 episodes
• Clustering — 9× in this paper · explained in 2 episodes
• Traveling Salesman Problem — 9× in this paper
• Iterative Refinement — 8× in this paper · explained in 3 episodes
• Consistency — 7× in this paper · explained in 3 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Adaptation — 5× in this paper · explained in 1 episode
• GRPO — 4× in this paper · explained in 6 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Ablation study — 3× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Evolutionary Algorithm — 3× in this paper
• Pairwise Comparisons — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Direct Preference Optimization — 2× in this paper
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• alpha — 2× in this paper · explained in 1 episode
• Adaptive Resonance Packing — 1× in this paper
• Capacitated Vehicle Routing Problem — 1× in this paper
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Direct Preference Optimization (DPO) — 1× in this paper · explained in 9 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• LLMs with Evolutionary Computation — 1× in this paper
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Sample Efficiency — 1× in this paper · explained in 4 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Neural Combinatorial Optimization with Reinforcement Learning
• From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
• A Survey of Large Language Models

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection