1 citations · 1 across the 4 of their papers we have counts for
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Reward-Weighted Preference Optimization for Selective Combinatorial Optimization Problems
Haohui Zhang, Xinyu Hu, Wouter van Heeswijk +2
Reinforcement learning has emerged as an effective approach for combinatorial optimization, but most existing methods focus on problems such as the Travelling Salesperson Problem (…
RELAGRAM: Recursive Latent Graph Model for the Capacitated Vehicle Routing Problem
Vladimir Kirill Bickov, Neil Yorke-Smith
Latent recursion repeatedly processes internal representations through the same neural network. Recent work has shown this approach to be effective on structured reasoning tasks su…
Narcissus: Program Synthesis Using Context-Aware LLM Approximations
Tilman Hinnerichs, Sebastijan Dumancic, Neil Yorke-Smith
Large language models (LLMs) excel at programming, but not when the task fixes the target language: prompted with a grammar rare in their training data, their programs usually brea…