LLM prompting for DSM modularization reaches near-reference quality in 30 iterations on five cases with three models, but domain knowledge impairs performance on complex DSMs, leading to the semantic-alignment hypothesis.
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Cost-Aware SGD samples by gradient-norm-to-cost ratio and is instantiated as Cost-Aware GRPO for length-dependent policy gradients, reducing tokens used in LLM RL while matching baseline accuracy.
A literature survey that proposes a multidimensional taxonomy for community detection, introduces a general mathematical formalization accommodating disjoint/overlapping/fuzzy structures, reviews modularity functions and both algorithmic and mathematical programming methods, and discusses benchmark
citing papers explorer
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Design Structure Matrix Modularization with Large Language Models
LLM prompting for DSM modularization reaches near-reference quality in 30 iterations on five cases with three models, but domain knowledge impairs performance on complex DSMs, leading to the semantic-alignment hypothesis.
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Cost-Aware Learning
Cost-Aware SGD samples by gradient-norm-to-cost ratio and is instantiated as Cost-Aware GRPO for length-dependent policy gradients, reducing tokens used in LLM RL while matching baseline accuracy.
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A Survey of Community Detection from an Operations Research Perspective: Taxonomy, Mathematical Formulations, Modularity Functions, and Benchmark Datasets
A literature survey that proposes a multidimensional taxonomy for community detection, introduces a general mathematical formalization accommodating disjoint/overlapping/fuzzy structures, reviews modularity functions and both algorithmic and mathematical programming methods, and discusses benchmark