3 papers
cs.LG2025
ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention
Henrik Abgaryan, Tristan Cazenave, Ararat Harutyunyan
Large Language Models (LLMs) have demonstrated impressive reasoning capabilities, yet their direct application to NP-hard combinatorial problems (CPs) remains underexplored. In thi…
cs.LG2025
Starjob: Dataset for LLM-Driven Job Shop Scheduling
Henrik Abgaryan, Tristan Cazenave, Ararat Harutyunyan
Large Language Models (LLMs) have shown remarkable capabilities across various domains, but their potential for solving combinatorial optimization problems remains largely unexplor…
cs.AI2024
LLMs can Schedule
Henrik Abgaryan, Ararat Harutyunyan, Tristan Cazenave
The job shop scheduling problem (JSSP) remains a significant hurdle in optimizing production processes. This challenge involves efficiently allocating jobs to a limited number of m…