Dynamic Objective Selection with Safeguards and LLM Oversight for Financial Decision-Making
The paper introduces Dynamic Objective Selection with Safeguards (DOSS) for financial decision-making. DOSS aims to optimize trading objectives by adapting to changing market conditions without relying on intermediate regime variables. It incorporates a Large Language Model for oversight, ensuring that objective selections are both informed and conservative.
- ▪DOSS selects decision-relevant objective functions based on recent returns.
- ▪The system performs sequential updates to avoid temporal leakage in selections.
- ▪Confidence-aware gating is used to prevent misselection and excessive switching.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2606.03704 |
| Publication time | Wed, 03 Jun 2026 00:00:00 -0400 |
| Retrieval time | 2026-06-03T04:11:55.408Z |
| Last seen | 2026-06-03T04:11:55.408Z |
| Headline source | Publisher (no WeSearch rewrite) |
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| Summary source text | contentText |
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| Cluster | czjEScpZGyFc |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
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| Publisher visit | Yes — open original |
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| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Computer Science > Artificial Intelligence arXiv:2606.03704 (cs) [Submitted on 2 Jun 2026] Title:Dynamic Objective Selection with Safeguards and LLM Oversight for Financial Decision-Making Authors:Keigo Sakurai, Takahiro Ogawa, Miki Haseyama, Anjyu Anan, Kei Nakagawa View a PDF of the paper titled Dynamic Objective Selection with Safeguards and LLM Oversight for Financial Decision-Making, by Keigo Sakurai and 4 other authors View PDF HTML (experimental) Abstract:Financial decision-making tasks such as stock recommendation and portfolio allocation typically estimate future return and risk and then select trades or allocations for an investor, and the chosen optimization objective often determines realized performance.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.
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