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cs.CL2025
RAGCap-Bench: Benchmarking Capabilities of LLMs in Agentic Retrieval Augmented Generation Systems
Jingru Lin, Chen Zhang, Stephen Y. Liu +1
Retrieval-Augmented Generation (RAG) mitigates key limitations of Large Language Models (LLMs)-such as factual errors, outdated knowledge, and hallucinations-by dynamically retriev…
cs.CL2025
Commonsense Generation and Evaluation for Dialogue Systems using Large Language Models
Marcos Estecha-Garitagoitia, Chen Zhang, Mario Rodríguez-Cantelar +1
This paper provides preliminary results on exploring the task of performing turn-level data augmentation for dialogue system based on different types of commonsense relationships,…