Author

Suhwan Park

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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

#natural language process... Jun 2026

Fund2Persona: A Framework for Building and Refining Financial Advisor Personas from Fund Disclosure Data

Fund2Persona, a framework that builds financial-advisor personas from real-world fund disclosures and refines them through an actor-scorer-patcher loop, is proposed, suggesting that real fund data can bring manager-specific investment expertise to LLM advisors rather than merely changing an LLM's surface style.

Suhwan Park, Hoyoung Lee, Zhang-Yang Wang et al. · arXiv.org · 0 citations

Preprint Aug 2026

Your AI, On a Dial: Controlling Investment Bias in LLMs with a Single Neuron

The results show that an LLM's aggregate investment stance can be calibrated toward a specified target at inference time.

Sahong Park, Suhwan Park, Hoyoung Lee et al. · 0 citations