AINeutralarXiv – CS AI · Mar 97/10
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LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs
Researchers introduced LLMTM, a comprehensive benchmark to evaluate Large Language Models' performance on temporal motif analysis in dynamic graphs. The study tested nine different LLMs and developed a structure-aware dispatcher that balances accuracy with cost-effectiveness for graph analysis tasks.
🧠 GPT-4