{"total":25,"rows":[{"id":"2303.18223","title":"A Survey of Large Language Models","created":"2023-03-31","cited_by_count":2576,"area":null},{"id":"2309.03409","title":"Large Language Models as Optimizers","created":"2023-09-07","cited_by_count":864,"area":null},{"id":"2305.03495","title":"Automatic Prompt Optimization with \"Gradient Descent\" and Beam Search","created":"2023-05-04","cited_by_count":653,"area":null},{"id":"2310.16427","title":"PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization","created":"2023-10-25","cited_by_count":233,"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":"2402.09723","title":"Efficient Prompt Optimization Through the Lens of Best Arm Identification","created":"2024-02-15","cited_by_count":37,"area":null},{"id":"2402.17564","title":"Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers","created":"2024-02-27","cited_by_count":35,"area":null},{"id":"2312.02614","title":"Prompt Optimization via Adversarial In-Context Learning","created":"2023-12-05","cited_by_count":33,"area":null},{"id":"2304.05818","title":"Gradient-Free Textual Inversion","created":"2023-04-12","cited_by_count":29,"area":null},{"id":"2406.15708","title":"Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization","created":"2024-06-22","cited_by_count":29,"area":null},{"id":"2503.01155","title":"Nature-Inspired Population-Based Evolution of Large Language Models","created":"2025-03-03","cited_by_count":15,"area":null},{"id":"2305.14877","title":"Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis","created":"2023-05-24","cited_by_count":13,"area":null},{"id":"2412.07820","title":"Hyperband-based Bayesian Optimization for Black-box Prompt Selection","created":"2024-12-10","cited_by_count":10,"area":null},{"id":"2311.08364","title":"Plum: Prompt Learning using Metaheuristic","created":"2023-11-14","cited_by_count":8,"area":null},{"id":"2406.17224","title":"Large Language Models are Interpretable Learners","created":"2024-06-25","cited_by_count":7,"area":null},{"id":"2509.23387","title":"No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization","created":"2025-09-27","cited_by_count":7,"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":"2603.03314","title":"Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO","created":"2026-02-09","cited_by_count":5,"area":null},{"id":"2403.13588","title":"Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models","created":"2024-03-20","cited_by_count":2,"area":null},{"id":"2507.10326","title":"Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation","created":"2025-07-14","cited_by_count":1,"area":null},{"id":"2508.16603","title":"GreenTEA: Gradient Descent with Topic-modeling and Evolutionary Auto-prompting","created":"2025-08-12","cited_by_count":1,"area":null},{"id":"2512.13427","title":"MineTheGap: Automatic Mining of Biases in Text-to-Image Models","created":"2025-12-15","cited_by_count":1,"area":null},{"id":"2504.04017","title":"A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains","created":"2025-04-05","cited_by_count":0,"area":null},{"id":"2505.19625","title":"Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap","created":"2025-05-26","cited_by_count":0,"area":null},{"id":"2511.16122","title":"ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models","created":"2025-11-20","cited_by_count":0,"area":null}],"next_cursor":null}