most citedMEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation

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cs.CL2026

From Confusion to Clarity: Confusion-Aware Retrieval and Knowledge Injection for Text Classification

Manish Gupta, Chaitanya Giri, Jayasimha Talur

Large language models (LLMs) struggle to classify text into taxonomies with many semantically similar labels, as the distinctions are domain-specific and not captured by pre-traini…

cs.CL2025★ 1 cited

MEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation

María Andrea Cruz Blandón, Jayasimha Talur, Bruno Charron +3

Automatic evaluation of retrieval augmented generation (RAG) systems relies on fine-grained dimensions like faithfulness and relevance, as judged by expert human annotators. Meta-e…