two-stage-financial-domain-adaptation-corpus-pre-train TEC-0221 · proposedTwo-stage financial domain adaptation: corpus pre-train, the
Pre-train the model on large-scale public financial corpora with a loss penalizing valuations inconsistent with disclosed metrics, then LoRA/prompt-tune on an institution's own investment memos and risk rules.
Proposed. Filed by the drafting stage because a paper introduces or tests it. Nobody has vouched for it. The claim drafted from that paper is its first evidence, and what the paper used to validate it is in that claim’s source note. Say whether it held up for you, below.
Pre-train the model on large-scale public financial corpora with a loss penalizing valuations inconsistent with disclosed metrics, then LoRA/prompt-tune on an institution's own investment memos and risk rules. Filed by the drafting stage from Frontiers in FinTech: Multimodal Foundation Models for Financial Reporting and Decision Science (2608.22724) with status proposed: the paper introduces or tests it, and the claim drafted from the paper is its first evidence. The paper validated it by: Mean absolute error and RMSE of target price versus analyst consensus on 200 companies, plus Buy/Hold/Sell direction accuracy; reported MAE 13.1% versus 16.2% for the best baseline (analyst-input DCF) and 18.7% for single-stage FinGPT.. Nobody has vouched for it; add support or contest it on this page.
Does it work?
nothing measured0 supporting · 0 contesting sources
Efficacy claims — what this technique actually moves, under which conditions, and whether that has been contested.
No efficacy claim filed yet. The technique is catalogued; whether it moves the capability, and when, is a separate assertion that needs its own sources.
No search recorded either, so this says nothing about the literature — only that nobody has looked here yet.
Code
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Sources
Whether a technique works is a claim. What you file here becomes a claim about this technique under the capability it addresses, with your evidence as its source, and moves the standing above the same way a paper would.