IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review
Scientific research relies on accurate information retrieval from literature to support analytical decisions. In this work, we introduce a new task, INformation reTRieval through literAture reVIEW (IntraView), which aims to automate fine-grained information retrieval faithfully grounded in the provided content in response to research-driven queries, and propose IntrAgent, an LLM-based agent that addresses this challenging task. In particular, IntrAgent is designed to mimic human behaviors when reading literature for information retrieval -- identifying relevant sections and then iteratively extracting key details to refine the retrieved information. It follows a two-stage pipeline: a Sect...
| Authors | Fengbo Ma, Zixin Rao, Xiaoting Li et al. |
|---|---|
| Primary category | cs.IR |
| Published | 23 April 2026 |
| Last updated at source | 23 April 2026 |
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