{"total":14,"rows":[{"id":"2406.15079","title":"GOAL: A Generalist Combinatorial Optimization Agent Learner","created":"2024-06-21","cited_by_count":42,"area":null},{"id":"2406.14096","title":"Graph Neural Networks for Job Shop Scheduling Problems: A Survey","created":"2024-06-20","cited_by_count":15,"area":null},{"id":"2503.01877","title":"Starjob: Dataset for LLM-Driven Job Shop Scheduling","created":"2025-02-26","cited_by_count":12,"area":null},{"id":"2408.06993","title":"LLMs can Schedule","created":"2024-08-13","cited_by_count":11,"area":null},{"id":"2409.03811","title":"PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization","created":"2024-09-05","cited_by_count":7,"area":null},{"id":"2411.01667","title":"GraphXForm: Graph transformer for computer-aided molecular design","created":"2024-11-03","cited_by_count":6,"area":null},{"id":"2407.17206","title":"Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization","created":"2024-07-24","cited_by_count":4,"area":null},{"id":"2502.10233","title":"Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding","created":"2025-02-14","cited_by_count":2,"area":null},{"id":"2502.19377","title":"Preference-Based Gradient Estimation for ML-Guided Approximate Combinatorial Optimization","created":"2025-02-26","cited_by_count":0,"area":null},{"id":"2510.12273","title":"Multi-Action Self-Improvement for Neural Combinatorial Optimization","created":"2025-10-14","cited_by_count":0,"area":null},{"id":"2605.19119","title":"GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2605.26690","title":"Self-Improvement Imitation with Biologically Guided Search for Protein Design Under Oracle Budgets","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2608.24859","title":"Improving Cross-Problem Vehicle Routing with Locally Augmented Preferences and Representation Disentanglement","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2608.29690","title":"Transformer-Based Flow Shop Scheduling Using MILP-Generated Training Data","created":"2026-08-30","cited_by_count":0,"area":null}],"next_cursor":null}