{"total":34,"rows":[{"id":"2406.06647","title":"How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark","created":"2024-06-10","cited_by_count":43,"area":null},{"id":"2403.16030","title":"VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections","created":"2024-03-24","cited_by_count":34,"area":null},{"id":"2505.16270","title":"Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning","created":"2025-05-22","cited_by_count":21,"area":null},{"id":"2308.10808","title":"Graph Neural Bandits","created":"2023-08-21","cited_by_count":20,"area":null},{"id":"2410.02195","title":"BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting","created":"2024-10-03","cited_by_count":18,"area":null},{"id":"2502.08767","title":"SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence","created":"2025-02-12","cited_by_count":18,"area":null},{"id":"2205.14309","title":"Federated Neural Bandits","created":"2022-05-28","cited_by_count":17,"area":null},{"id":"2206.04835","title":"Communication Efficient Distributed Learning for Kernelized Contextual Bandits","created":"2022-06-10","cited_by_count":15,"area":null},{"id":"2411.01410","title":"PageRank Bandits for Link Prediction","created":"2024-11-03","cited_by_count":14,"area":null},{"id":"2412.08174","title":"Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?","created":"2024-12-11","cited_by_count":13,"area":null},{"id":"2210.00423","title":"Improved Algorithms for Neural Active Learning","created":"2022-10-02","cited_by_count":11,"area":null},{"id":"2312.14037","title":"Neural Contextual Bandits for Personalized Recommendation","created":"2023-12-21","cited_by_count":10,"area":null},{"id":"2404.12522","title":"Neural Active Learning Beyond Bandits","created":"2024-04-18","cited_by_count":10,"area":null},{"id":"2502.19334","title":"Joint Optimal Transport and Embedding for Network Alignment","created":"2025-02-26","cited_by_count":10,"area":null},{"id":"2206.03644","title":"Neural Bandit with Arm Group Graph","created":"2022-06-08","cited_by_count":8,"area":null},{"id":"2309.08634","title":"Doubly High-Dimensional Contextual Bandits: An Interpretable Model for Joint Assortment-Pricing","created":"2023-09-14","cited_by_count":8,"area":null},{"id":"2201.13395","title":"Neural Collaborative Filtering Bandits via Meta Learning","created":"2022-01-31","cited_by_count":7,"area":null},{"id":"2305.03784","title":"Neural Exploitation and Exploration of Contextual Bandits","created":"2023-05-05","cited_by_count":7,"area":null},{"id":"2408.05586","title":"Meta Clustering of Neural Bandits","created":"2024-08-10","cited_by_count":7,"area":null},{"id":"2505.02069","title":"Neural Logistic Bandits","created":"2025-05-04","cited_by_count":6,"area":null},{"id":"2406.12835","title":"Influence Maximization via Graph Neural Bandits","created":"2024-06-18","cited_by_count":4,"area":null},{"id":"2411.05979","title":"Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits","created":"2024-11-08","cited_by_count":3,"area":null},{"id":"2502.02079","title":"Online Clustering of Dueling Bandits","created":"2025-02-04","cited_by_count":3,"area":null},{"id":"2206.08144","title":"A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification","created":"2022-06-16","cited_by_count":2,"area":null},{"id":"2310.10259","title":"Leveraging heterogeneous spillover in maximizing contextual bandit rewards","created":"2023-10-16","cited_by_count":2,"area":null},{"id":"2506.01250","title":"Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration","created":"2025-06-02","cited_by_count":2,"area":null},{"id":"2510.10730","title":"Provable Anytime Ensemble Sampling Algorithms in Nonlinear Contextual Bandits","created":"2025-10-12","cited_by_count":2,"area":null},{"id":"2405.08921","title":"Neural Active Learning Meets the Partial Monitoring Framework","created":"2024-05-14","cited_by_count":1,"area":null},{"id":"2506.12389","title":"Revisiting Clustering of Neural Bandits: Selective Reinitialization for Mitigating Loss of Plasticity","created":"2025-06-14","cited_by_count":1,"area":null},{"id":"2510.19119","title":"Learning Peer Influence Probabilities with Linear Contextual Bandits","created":"2025-10-21","cited_by_count":1,"area":null},{"id":"2601.15552","title":"BanditLP: Large-Scale Stochastic Optimization for Personalized Recommendations","created":"2026-01-22","cited_by_count":1,"area":null},{"id":"2510.16704","title":"Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization","created":"2025-10-19","cited_by_count":0,"area":null},{"id":"2603.00567","title":"Learning to Attack: A Bandit Approach to Adversarial Context Poisoning","created":"2026-02-28","cited_by_count":0,"area":null},{"id":"2609.36672","title":"Human-inspired, Task-Dimension-Guided Exploration for Efficient Learning in High Dimensions","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}