most citedAdvancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data

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cs.IR2025

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation

Yunjia Xi, Jianghao Lin, Menghui Zhu +10

Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by grounding responses with retrieved information. As an emerging paradigm, Agentic RAG further enhances…