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cs.CL2026
GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs
Ruijie Wang, Luca Rossetto, Michael Cochez +1
Despite the rapid progress of large language models (LLMs), knowledge graph-based question answering (KGQA) remains essential for producing verifiable and hallucination-resistant a…
cs.CL2025
ConceptFormer: Towards Efficient Use of Knowledge-Graph Embeddings in Large Language Models
Joel Barmettler, Abraham Bernstein, Luca Rossetto
Retrieval Augmented Generation (RAG) has enjoyed increased attention in the recent past and recent advancements in Large Language Models (LLMs) have highlighted the importance of i…