SenseAI is a human-in-the-loop dataset designed for training RLHF-aligned models on financial sentiment reasoning. The paper presents methods for constructing high-quality labeled data where human annotators guide model behavior on finance-specific tasks. It demonstrates how domain-curated datasets improve alignment beyond general chat applications.
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SenseAI: A Human-in-the-Loop Dataset for RLHF-Aligned Financial Sentiment Reasoning
Human-in-the-loop RLHF dataset construction shows that domain-specific financial datasets significantly outperform general chat alignment for training sentiment reasoning models.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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