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ICLR 2026 review阶段，LLM AHD合集二

LLM AHD合集二

ICLR 2026 review阶段，LLM AHD合集二 Fusing LLMs with Scientific Literature for Heuristic Discovery https://openreview.net/forum?id=lwqeXDYKWJ rating：4444, Reject 核心思想 让大语言模型（LLM）在进化算法中“查文献”，从而突破自身知识...

Posted by Birdie on January 10, 2026

ICLR 2026 review阶段，LLM AHD合集一

LLM AHD合集一

ICLR 2026 review阶段，LLM AHD合集一 Generalizable Heuristic Generation Through LLMs with Meta-Optimization https://openreview.net/forum?id=tIQZ7pVN6S rating：8444, Accept 现有方法痛点 启发式优化器固定：大多数方法使用预设...

Posted by Birdie on January 9, 2026

Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM

ICLR2026under review LLM优化HGS

Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM ICLR2026 under review zhiguang cao课题组 摘要 尽管大语言模型（LLMs）正逐渐成为解决车辆路径问题（VRP）的自动化启发式设计工具，但现有最先进的方法主要依赖于像 GPT-4 这样的大型通...

Posted by Birdie on November 22, 2025

DIFUSCO Graph-based Diffusion Solvers for Combinatorial Optimization

NIPS2023 扩散模型

DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization nips23 Carnegie Mellon University 开源：Edward-Sun/DIFUSCO: Code of NeurIPS paper: arxiv.org/abs/2302.08224 摘要 基于神经网络的组合优化（Co...

Posted by Birdie on November 7, 2025

Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning

NIPS2025 EoH驱动的映射算子做大规模

Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning 王振坤课题组 NIPS2025 代码：https://github.com/CIAM-Group/TTPL 摘要 神经组合优化（NCO...

Posted by Birdie on November 5, 2025

TODO Enhancing LLM Alignment with Ternary Preferences

ICLR2025 偏好优化 平局

偏好优化理论基础 BT模型 BT模型是一种用于表示实例、团队或对象之间成对比较结果的概率模型。它估计了排序关系 $i \succ j$ 为真的概率，其中符号 $\succ$ 表示偏好或排序关系，例如实例 $i$ 被偏好于 $j$。 BT 模型的计算如下所示，其中两个竞争者的正向强度分别表示为 $\lambda_1$ 和 $\lambda_2$，$r_{1,2}$ 表示第一个竞争者在比...

Posted by Birdie on May 30, 2025

GLOP Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time

AAAI2024 通过分治将大规模/多任务变成多个开源TSP

GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time AAAI2024 开源：https://github.com/henry-yeh/GLOP 摘要 最近的端到端神经求解器在处理小型路线规划问题上展现出了潜力，但在实...

Posted by Birdie on April 30, 2025

PolyNet Learning Diverse Solution Strategies for Neural Combinatorial Optimization

ICLR2025 扩大搜索空间

PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization ICLR2025 Bielefeld University，Germany 摘要 基于强化学习的方法在构建组合优化问题的解决方案方面，正迅速接近人工设计算法的性能水平。为了进一步缩小这一差距，基于学习的方法必须在搜索过...

Posted by Birdie on April 29, 2025

Rl4co an extensive reinforcement learning for combinatorial optimization benchmark

ICLR2024 通用、全面的RL4CO库

Rl4co: an extensive reinforcement learning for combinatorial optimization benchmark 一个用RL解决CO问题的算法库 开源：ai4co/rl4co: A PyTorch library for all things Reinforcement Learning (RL) for Combinatoria...

Posted by Birdie on April 28, 2025

INViT A Generalizable Routing Problem Solver with Invariant Nested View Transformer

ICML2024 大规模+多分布

INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer 上海交通大学密歇根联合研究所，昆山杜克大学 ICML2024 开源：Kasumigaoka-Utaha/INViT: Official Implementation of the paper: INViT: A Gen...

Posted by Birdie on April 28, 2025

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