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From the 1 of 7 linked papers with an AI index.

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cs.AI2026

ID-PaS+ : Identity-Aware Predict-and-Search for General Mixed-Integer Linear Programs

Junyang Cai, El Mehdi Er Raqabi, Pascal Van Hentenryck +1

Mixed-Integer Linear Programs (MIPs) are powerful and flexible tools for modeling a wide range of real-world combinatorial optimization problems. Predict-and-Search methods operate…

cs.AI2025

Gala: Global LLM Agents for Text-to-Model Translation

Junyang Cai, Serdar Kadioglu, Bistra Dilkina

Natural language descriptions of optimization or satisfaction problems are challenging to translate into correct MiniZinc models, as this process demands both logical reasoning and…

cs.AI2025

ParBalans: Parallel Multi-Armed Bandits-based Adaptive Large Neighborhood Search

Alican Yilmaz, Junyang Cai, Serdar Kadioglu +1

Solving Mixed-Integer Programming (MIP) problems often requires substantial computational resources due to their combinatorial nature. Parallelization has emerged as a critical str…

cs.AI2025

Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problem

Junyang Cai, Serdar Kadioglu, Bistra Dilkina

Mixed-integer programming (MIP) is a powerful paradigm for modeling and solving various important combinatorial optimization problems. Recently, learning-based approaches have show…

cs.AI2025

Multi-task Representation Learning for Mixed Integer Linear Programming

Junyang Cai, Taoan Huang, Bistra Dilkina

Mixed Integer Linear Programs (MILPs) are highly flexible and powerful tools for modeling and solving complex real-world combinatorial optimization problems. Recently, machine lear…