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FinDialogLens: Event Extraction over Multi-Party Dialogue for Missed-Trade Identification in Financial Chatrooms
Not provided in the abstract
event extractionfinancial chatroomsLLMtrade identification
2610.02455
Builder Relevance
1h ago80%
Abstract
The paper presents FinDialogLens, a hybrid LLM pipeline for extracting events from multi-party financial chatrooms to identify missed trades.
Reality Card
Core Claim
FinDialogLens achieves 92.1% accuracy on final price and 94.3% accuracy on trade outcome, outperforming traditional methods.
Method / Result
Cuts LLM calls by 85% while recovering half of the accuracy gap to the top-performing model.
Limitations
The paper does not specify the authors or provide detailed reproducibility guidelines.
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