When Summaries Distort Decisions: Information Fidelity in LLM-Compressed Financial Analysis

By Hoyoung Lee, Suhwan Park, Seunghan Lee, Jun Seo, Jaehoon Lee, Sungdong Yoo, Minjae Kim, CheolWon Na, Zhangyang Wang, V.Zach Golkhou, Minkyu Kim, Sotirios Sabanis, Alejandro Lopez-Lira, Dhagash Mehta, Soonyoung Lee, Chanyeol Choi, Wonbin Ahn, Yongjae Lee

Published 2026-09-17

Everscope rating

1350.8

Relevance to quantitative trading

8 / 10

Implementation complexity

6 / 10

Reproducibility

3 / 5

About this paper

Methodology: Agentic Context Compression (ACC). Problem types: Natural Language Processing, Classification, Information Compression, Decision Support, Financial Sentiment Analysis.

arXiv:2606.29251 · Paper rankings

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