2025
A Graph-Theoretical Framework for Analyzing the Behavior of Causal Language Models
EMNLP 2025
Recent progress in natural language processing has popularized causal language models, but their internal behavior remains poorly understood due to the high cost and reliance on large-scale benchmarks in existing analysis methods. To address these challenges, we introduce a graph-theoretical framewo