Work

Information Retrieval in Finance: Industry and Academic Perspectives on Innovation

Year: 2025

Type: conference-paper

Abstract: Information retrieval (IR) plays a critical role in financial decision-making across investment research, trading, risk management, and reporting. With the rise of large language models (LLMs), IR systems have evolved to support more natural, context-aware workflows. In this tutorial, we survey recent advances in applying IR and LLM technologies in finance, covering agent-based simulations, investor recommender systems, retrieval-augmented research management, and LLM-driven portfolio construction. We highlight practical challenges and propose future research directions at the intersection of IR, LLMs, and financial innovation. More materials can be found at http://irfin.nlpfin.com/.

Source: International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI: 10.1145/3726302.3731685

Authors: Chung-Chi Chen, Yongjae Lee, Alejandro Lopez-Lira, Chanyeol Choi, Richard Mccreadie, Javier Sanz-Cruzado

Institutions: National Institute of Advanced Industrial Science and Technology, Ulsan National Institute of Science and Technology, University of Florida, University of Glasgow

Language: English

Topic: Information Retrieval and Search Behavior

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Institute of Advanced Industrial Science and Technology

OpenAlex ID: W4412377862

FWCI: 2.354

Cites: 17

Cited by: 2

Related to: 10