{"total":87,"rows":[{"id":"2310.12931","title":"Eureka: Human-Level Reward Design via Coding Large Language Models","created":"2023-10-19","cited_by_count":571,"area":"alignment"},{"id":"2308.10620","title":"Large Language Models for Software Engineering: A Systematic Literature Review","created":"2023-08-21","cited_by_count":399,"area":null},{"id":"2401.02051","title":"Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model","created":"2024-01-04","cited_by_count":268,"area":null},{"id":"2410.06153","title":"AgentSquare: Automatic LLM Agent Search in Modular Design Space","created":"2024-10-08","cited_by_count":155,"area":"agents"},{"id":"2502.14499","title":"MLGym: A New Framework and Benchmark for Advancing AI Research Agents","created":"2025-02-20","cited_by_count":124,"area":"agents"},{"id":"2307.16376","title":"When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities","created":"2023-07-31","cited_by_count":90,"area":null},{"id":"2401.10034","title":"Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap","created":"2024-01-18","cited_by_count":90,"area":null},{"id":"2410.14716","title":"A Systematic Survey on Large Language Models for Algorithm Design","created":"2024-10-11","cited_by_count":69,"area":null},{"id":"2409.16867","title":"Multi-objective Evolution of Heuristic Using Large Language Model","created":"2024-09-25","cited_by_count":54,"area":null},{"id":"2311.15249","title":"Algorithm Evolution Using Large Language Model","created":"2023-11-26","cited_by_count":53,"area":null},{"id":"2403.14541","title":"EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling","created":"2024-03-21","cited_by_count":45,"area":null},{"id":"2401.07102","title":"Evolving Code with A Large Language Model","created":"2024-01-13","cited_by_count":43,"area":null},{"id":"2306.08107","title":"AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks","created":"2023-06-13","cited_by_count":35,"area":null},{"id":"2412.02980","title":"Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models","created":"2024-12-04","cited_by_count":35,"area":"synth"},{"id":"2405.10313","title":"How Far Are We From AGI: Are LLMs All We Need?","created":"2024-05-16","cited_by_count":31,"area":null},{"id":"2503.21411","title":"Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap","created":"2025-03-27","cited_by_count":26,"area":null},{"id":"2406.01309","title":"REvolve: Reward Evolution with Large Language Models using Human Feedback","created":"2024-06-03","cited_by_count":23,"area":"alignment"},{"id":"2406.04824","title":"FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch","created":"2024-06-07","cited_by_count":23,"area":null},{"id":"2405.03547","title":"Position: Leverage Foundational Models for Black-Box Optimization","created":"2024-05-06","cited_by_count":21,"area":null},{"id":"2401.10510","title":"When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges","created":"2024-01-19","cited_by_count":20,"area":null},{"id":"2405.06686","title":"Word2World: Generating Stories and Worlds through Large Language Models","created":"2024-05-06","cited_by_count":18,"area":null},{"id":"2408.11330","title":"Design Principle Transfer in Neural Architecture Search via Large Language Models","created":"2024-08-21","cited_by_count":17,"area":null},{"id":"2507.18074","title":"Neural Architecture Discovery via Autonomous Evolution","created":"2025-07-24","cited_by_count":16,"area":null},{"id":"2409.15844","title":"Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection","created":"2024-09-24","cited_by_count":15,"area":null},{"id":"2405.03728","title":"Pretrained Optimization Model for Zero-Shot Black Box Optimization","created":"2024-05-06","cited_by_count":13,"area":null},{"id":"2509.08269","title":"A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving","created":"2025-09-10","cited_by_count":11,"area":null},{"id":"2410.22296","title":"Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks","created":"2024-10-29","cited_by_count":10,"area":null},{"id":"2512.24120","title":"Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design","created":"2025-12-30","cited_by_count":10,"area":null},{"id":"2601.02997","title":"From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures","created":"2026-01-06","cited_by_count":10,"area":null},{"id":"2407.09502","title":"From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models","created":"2024-06-14","cited_by_count":8,"area":null},{"id":"2410.07765","title":"GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps","created":"2024-10-10","cited_by_count":8,"area":null},{"id":"2412.19206","title":"NADER: Neural Architecture Design via Multi-Agent Collaboration","created":"2024-12-26","cited_by_count":8,"area":"agents"},{"id":"2407.17404","title":"Grammar-based Game Description Generation using Large Language Models","created":"2024-07-24","cited_by_count":7,"area":null},{"id":"2502.20422","title":"SEKI: Self-Evolution and Knowledge Inspiration based Neural Architecture Search via Large Language Models","created":"2025-02-27","cited_by_count":7,"area":"distill"},{"id":"2505.22086","title":"iDSE: Navigating Design Space Exploration in High-Level Synthesis Using LLMs","created":"2025-05-28","cited_by_count":7,"area":null},{"id":"2509.05657","title":"LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding","created":"2025-09-06","cited_by_count":7,"area":null},{"id":"2310.10692","title":"ACES: Generating Diverse Programming Puzzles with with Autotelic Generative Models","created":"2023-10-15","cited_by_count":6,"area":null},{"id":"2503.14217","title":"Decision Tree Induction Through LLMs via Semantically-Aware Evolution","created":"2025-03-18","cited_by_count":6,"area":null},{"id":"2505.15741","title":"Large Language Models and Evolutionary Computation: A Critical Review of Bidirectional Interaction, Automated Algorithm Design, and Co-Adaptive Systems","created":"2025-05-21","cited_by_count":6,"area":null},{"id":"2509.26037","title":"CoLLM-NAS: Collaborative Large Language Models for Efficient Knowledge-Guided Neural Architecture Search","created":"2025-09-30","cited_by_count":6,"area":null},{"id":"2601.08517","title":"Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models","created":"2026-01-13","cited_by_count":6,"area":null},{"id":"2601.20539","title":"PathWise: Planning through World Model for Automated Heuristic Design via Self-Evolving LLMs","created":"2026-01-28","cited_by_count":6,"area":"wm"},{"id":"2412.20694","title":"QUBE: Enhancing Automatic Heuristic Design via Quality-Uncertainty Balanced Evolution","created":"2024-12-30","cited_by_count":5,"area":null},{"id":"2504.02280","title":"LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection","created":"2025-04-03","cited_by_count":5,"area":null},{"id":"2504.09685","title":"Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?","created":"2025-04-13","cited_by_count":5,"area":null},{"id":"2504.12971","title":"Transferrable Surrogates in Expressive Neural Architecture Search Spaces","created":"2025-04-17","cited_by_count":5,"area":null},{"id":"2409.14433","title":"OStr-DARTS: Differentiable Neural Architecture Search based on Operation Strength","created":"2024-09-22","cited_by_count":4,"area":null},{"id":"2504.00613","title":"LLM-Guided Search for Deletion-Correcting Codes","created":"2025-04-01","cited_by_count":4,"area":null},{"id":"2605.04903","title":"Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs","created":"2026-05-06","cited_by_count":3,"area":null},{"id":"2505.10607","title":"MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices","created":"2025-05-15","cited_by_count":2,"area":null},{"id":"2505.12508","title":"InnateCoder: Learning Programmatic Options with Foundation Models","created":"2025-05-18","cited_by_count":2,"area":"deeprl"},{"id":"2507.20592","title":"PhaseNAS: Language-Model Driven Architecture Search with Dynamic Phase Adaptation","created":"2025-07-28","cited_by_count":2,"area":null},{"id":"2605.04057","title":"Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search","created":"2026-04-10","cited_by_count":2,"area":null},{"id":"2608.01633","title":"GraphIR: Architecture-Level Search States for LLM-Guided Neural Architecture Evolution","created":"2026-08-03","cited_by_count":2,"area":null},{"id":"2405.14075","title":"$T^2$ of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models","created":"2024-05-23","cited_by_count":1,"area":"lr"},{"id":"2504.17827","title":"Evolution Meets Diffusion: Efficient Neural Architecture Generation","created":"2025-04-24","cited_by_count":1,"area":"diffusion"},{"id":"2507.02256","title":"Uncertainty-aware Reward Design Process","created":"2025-07-03","cited_by_count":1,"area":"lr"},{"id":"2509.18108","title":"Solve it with EASE","created":"2025-09-09","cited_by_count":1,"area":null},{"id":"2510.01472","title":"LLM-NAS: LLM-driven Hardware-Aware Neural Architecture Search","created":"2025-10-01","cited_by_count":1,"area":null},{"id":"2510.04938","title":"ONNX-Net: Towards Universal Representations and Instant Performance Prediction for Neural Architectures","created":"2025-10-06","cited_by_count":1,"area":null},{"id":"2512.05403","title":"RevoNAD: Reflective Evolutionary Exploration for Neural Architecture Design","created":"2025-12-05","cited_by_count":1,"area":null},{"id":"2512.12281","title":"Cognitive-YOLO: LLM-Driven Architecture Synthesis from First Principles of Data for Object Detection","created":"2025-12-13","cited_by_count":1,"area":null},{"id":"2601.00105","title":"Mortar: Evolving Mechanics for Automatic Game Design","created":"2025-12-31","cited_by_count":1,"area":null},{"id":"2603.28416","title":"Evolutionary Discovery of Reinforcement Learning Algorithms via Large Language Models","created":"2026-03-30","cited_by_count":1,"area":null},{"id":"2607.07984","title":"Agentic Neural Architecture Search","created":"2026-07-08","cited_by_count":1,"area":"agents"},{"id":"2608.07193","title":"An AI4AI Framework for Visual Token Pruning","created":"2026-08-07","cited_by_count":1,"area":"mllm"},{"id":"2501.18504","title":"CLEAR: Cue Learning using Evolution for Accurate Recognition Applied to Sustainability Data Extraction","created":"2025-01-30","cited_by_count":0,"area":null},{"id":"2509.13368","title":"$Agent^2$: An Agent-Generates-Agent Framework for Reinforcement Learning Automation","created":"2025-09-16","cited_by_count":0,"area":"agents"},{"id":"2512.06982","title":"LLM-Driven Composite Neural Architecture Search for Multi-Source RL State Encoding","created":"2025-12-07","cited_by_count":0,"area":null},{"id":"2601.12272","title":"AgenticPruner: MAC-Constrained Neural Network Compression via LLM-Driven Strategy Search","created":"2026-01-18","cited_by_count":0,"area":null},{"id":"2602.04388","title":"On the use of LLMs to generate a dataset of Neural Networks","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2603.13344","title":"DyACE: Dynamic Algorithm Co-evolution for Online Automated Heuristic Design with Large Language Model","created":"2026-03-07","cited_by_count":0,"area":null},{"id":"2603.28015","title":"What an Autonomous Agent Discovers About Molecular Transformer Design: Does It Transfer?","created":"2026-03-30","cited_by_count":0,"area":null},{"id":"2605.04103","title":"HERCULES: Hardware-Efficient, Robust, Continual Learning Neural Architecture Search","created":"2026-05-03","cited_by_count":0,"area":null},{"id":"2605.19247","title":"Structuring Open-Ended NAS: Semi-Automated Design Knowledge Structuring with LLMs for Efficient Neural Architecture Search","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2606.10294","title":"LLM-Guided Neural Architecture Search for Robust Co-Design of Physical Neural Networks","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2606.24965","title":"Project Auto-World: Towards Automated Benchmarking of Neural Relational Reasoners","created":"2026-06-23","cited_by_count":0,"area":"lr"},{"id":"2607.05704","title":"Curating Same-Family Neural Networks for LLM-Guided Model Improvement: A Controlled Case Study","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2607.11591","title":"Similarity-Guided Curriculum Fine-Tuning of LLMs for Neural Architecture Synthesis","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2607.20516","title":"Scaling Closed-Loop Feature Channel Configuration with LLMs","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2608.07544","title":"MOSAIC: Adversarial Co-evolution of Specialist Heuristics and Problem Instances for LLM-based Automated Heuristic Design","created":"2026-07-31","cited_by_count":0,"area":null},{"id":"2608.13889","title":"Consensus-gated Multi-Agent Neural Architecture Search for Seismic Fault Segmentation","created":"2026-08-14","cited_by_count":0,"area":"agents"},{"id":"2608.21712","title":"ATHENA: Knowledge-guided agentic neural architecture search for AutoFormer-based electronic health record modeling","created":"2026-08-22","cited_by_count":0,"area":"agents"},{"id":"2608.21927","title":"Bi-EZP: LLM-Guided Bilevel Program Evolution for Ensemble Zero-Cost Proxy Discovery","created":"2026-08-22","cited_by_count":0,"area":null},{"id":"2609.08719","title":"GoAnt: Quality-Diversity Multi-Agent Search for Alpha Factor Discovery in Market Microstructure Data","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.29016","title":"EvoTreeNAD: Genealogy-Guided Evolution for LLM-Driven Neural Architecture Discovery","created":"2026-09-24","cited_by_count":0,"area":null},{"id":"2610.05950","title":"Discovered, Not Designed: Population Evolution for Collaborative and Compute-Intensive Model Discovery","created":"2026-10-05","cited_by_count":0,"area":null}],"next_cursor":null}