Cover Image

Behavior and Representation in Large Language Models for Combinatorial Optimization: From Feature Extraction to Algorithm Selection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Da Ros, Francesca, Di Gaspero, Luca, Roitero, Kevin
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Models for Combinatorial Optimization: A Systematic Review
by: Da Ros, Francesca, et al.
Published: (2025)

Mapping and Influencing the Political Ideology of Large Language Models using Synthetic Personas
by: Bernardelle, Pietro, et al.
Published: (2024)

Large Language Models as End-to-end Combinatorial Optimization Solvers
by: Jiang, Xia, et al.
Published: (2025)

Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents
by: Dong, Yanfei, et al.
Published: (2024)

Bridging Large Language Models and Optimization: A Unified Framework for Text-attributed Combinatorial Optimization
by: Jiang, Xia, et al.
Published: (2024)

CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
by: Sun, Weiwei, et al.
Published: (2025)

Infeasibility Aware Large Language Models for Combinatorial Optimization
by: Wang, Yakun, et al.
Published: (2026)

On Robustness and Reliability of Benchmark-Based Evaluation of LLMs
by: Lunardi, Riccardo, et al.
Published: (2025)

The Effect of Document Summarization on LLM-Based Relevance Judgments
by: Mohtadi, Samaneh, et al.
Published: (2025)

Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization
by: Zhao, Jie, et al.
Published: (2025)

Self-Predictive Representations for Combinatorial Generalization in Behavioral Cloning
by: Lawson, Daniel, et al.
Published: (2025)

Optimizing Feature Extraction for On-device Model Inference with User Behavior Sequences
by: Gong, Chen, et al.
Published: (2026)

Large Language Models for the Automated Analysis of Optimization Algorithms
by: Sartori, Camilo Chacón, et al.
Published: (2024)

The Cognitive Revolution in Interpretability: From Explaining Behavior to Interpreting Representations and Algorithms
by: Davies, Adam, et al.
Published: (2024)

LLM-Select: Feature Selection with Large Language Models
by: Jeong, Daniel P., et al.
Published: (2024)

Geometric Algorithms for Neural Combinatorial Optimization with Constraints
by: Karalias, Nikolaos, et al.
Published: (2025)

Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
by: Wu, Xuan, et al.
Published: (2024)

Reasoning in a Combinatorial and Constrained World: Benchmarking LLMs on Natural-Language Combinatorial Optimization
by: Jiang, Xia, et al.
Published: (2026)

Neural Solver Selection for Combinatorial Optimization
by: Gao, Chengrui, et al.
Published: (2024)

Exploring Large Language Models for Feature Selection: A Data-centric Perspective
by: Li, Dawei, et al.
Published: (2024)

Can Large Language Models Be Trusted as Evolutionary Optimizers for Network-Structured Combinatorial Problems?
by: Zhao, Jie, et al.
Published: (2025)

Graph Q-Learning for Combinatorial Optimization
by: Dax, Victoria M., et al.
Published: (2024)

Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain
by: Mischler, Gavin, et al.
Published: (2024)

MARVEL: Multi-Agent RTL Vulnerability Extraction using Large Language Models
by: Collini, Luca, et al.
Published: (2025)

Knowledge-Informed Automatic Feature Extraction via Collaborative Large Language Model Agents
by: Bradland, Henrik, et al.
Published: (2025)

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization
by: Duan, Ruibo, et al.
Published: (2025)

Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models
by: Zhao, Jie, et al.
Published: (2025)

Representational Curvature Modulates Behavioral Uncertainty in Large Language Models
by: King, Jack, et al.
Published: (2026)

Comparing Explanations is Not Enough, Explain the Change: New Standards are Needed to Explain Behavioral Shifts in Large Language Models
by: Ciaperoni, Martino, et al.
Published: (2026)

Efficient and Comprehensive Feature Extraction in Large Vision-Language Model for Pathology Analysis
by: Zhang, Shengxuming, et al.
Published: (2024)

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations
by: Zhu, Jian-Qiao, et al.
Published: (2025)

Agenda-based Narrative Extraction: Steering Pathfinding Algorithms with Large Language Models
by: Keith-Norambuena, Brian Felipe, et al.
Published: (2026)

Optimization and Scalability of Collaborative Filtering Algorithms in Large Language Models
by: Yang, Haowei, et al.
Published: (2024)

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization
by: Li, Xijun, et al.
Published: (2025)

Large Language Models for Combinatorial Optimization of Design Structure Matrix
by: Jiang, Shuo, et al.
Published: (2025)

DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial Optimization Problems
by: Zhao, Hang, et al.
Published: (2024)

Large Neighborhood Prioritized Search for Combinatorial Optimization with Answer Set Programming
by: Sugimori, Irumi, et al.
Published: (2024)

Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models
by: Ngo, Giang, et al.
Published: (2026)

PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization
by: Hottung, André, et al.
Published: (2024)

Probing Neural Combinatorial Optimization Models
by: Zhang, Zhiqin, et al.
Published: (2025)