A graph-retrieval-augmented LLM pipeline for causal news classification reports 82.1% F1 with 20 examples, but likely leaks test data into its retrieval store.
MLModeler5@ Causal News Corpus 2023: Us- ing RoBERTa for Casual Event Classification
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GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news
A graph-retrieval-augmented LLM pipeline for causal news classification reports 82.1% F1 with 20 examples, but likely leaks test data into its retrieval store.