Author

CheolWon Na

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#artificial intelligence Jun 2026

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

Across financial filings and earnings-call transcripts, it is found that LLM-based compression can produce fluent and factually plausible compressed contexts that nevertheless alter downstream decisions, suggesting that financial compression should be evaluated not only by efficiency or factuality, but also by its abil...

Hoyoung Lee, Suhwan Park, Seung-Han Lee et al. · arXiv.org · 3 citations

Preprint Aug 2026

Poisoning Agentic Alpha: Adversarial Vulnerabilities Across Roles and Architectures in Multi-Agent Trading Systems

This paper presents the first systematic empirical study in the financial domain to characterize how an adversarial signal enters a multi-agent trading system and how far it survives toward the decision, and evaluates four communication topologies under data- and agent-level attacks.

CheolWon Na, Hao Ni, Lukasz Szpruch et al. · 0 citations