{"total":15,"rows":[{"id":"2507.09108","title":"SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation","created":"2025-07-12","cited_by_count":12,"area":null},{"id":"2510.17881","title":"POPI: Personalizing LLMs via Optimized Natural Language Preference Inference","created":"2025-10-17","cited_by_count":6,"area":null},{"id":"2510.25808","title":"PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs","created":"2025-10-29","cited_by_count":4,"area":null},{"id":"2502.02079","title":"Online Clustering of Dueling Bandits","created":"2025-02-04","cited_by_count":3,"area":null},{"id":"2509.24701","title":"FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits","created":"2025-09-29","cited_by_count":3,"area":null},{"id":"2502.01085","title":"Federated Linear Dueling Bandits","created":"2025-02-03","cited_by_count":2,"area":null},{"id":"2605.14553","title":"Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits","created":"2026-05-14","cited_by_count":2,"area":null},{"id":"2504.02646","title":"Prompt Optimization with Logged Bandit Data","created":"2025-04-03","cited_by_count":1,"area":null},{"id":"2509.08950","title":"Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities","created":"2025-09-10","cited_by_count":1,"area":null},{"id":"2509.17096","title":"Prompt-with-Me: in-IDE Structured Prompt Management for LLM-Driven Software Engineering","created":"2025-09-21","cited_by_count":1,"area":null},{"id":"2601.12945","title":"A Component-Based Survey of Interactions between Large Language Models and Multi-Armed Bandits","created":"2026-01-19","cited_by_count":1,"area":null},{"id":"2408.10883","title":"Dynamic Analysis and Adaptive Discriminator for Fake News Detection","created":"2024-08-20","cited_by_count":0,"area":null},{"id":"2603.02100","title":"Stochastic Multi-Armed Bandits with Limited Control Variates","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2608.19025","title":"Self-prompting and cross-model consensus enable reproducible data extraction from scientific literature with large language models","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2609.16245","title":"Metacognitive Steering: Learning the Structure of Scientific Judgment","created":"2026-09-14","cited_by_count":0,"area":null}],"next_cursor":null}