most citedLess LLM, More Documents: Searching for Improved RAG

1 citations · 1 across the 4 of their papers we have counts for

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cs.IR2026

Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Search Requests

Jingjie Ning, João Coelho, Yibo Kong +5

LLM-powered search agents are increasingly being used for multi-step information seeking tasks, yet the IR community lacks empirical understanding of how agentic search sessions un…

cs.IR2025★ 1 cited

Less LLM, More Documents: Searching for Improved RAG

Jingjie Ning, Yibo Kong, Yunfan Long +1

Retrieval-Augmented Generation (RAG) couples document retrieval with large language models (LLMs). While scaling generators often improves accuracy, it also increases inference and…