SenseAI is a human-in-the-loop financial sentiment dataset with reasoning processes and market outcomes that reveals predictable LLM error patterns like Latent Reasoning Drift for RLHF alignment.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
Static value alignment approaches for AI are structurally insufficient for robust alignment because of Hume's is-ought gap, value pluralism, and the extended frame problem.
citing papers explorer
-
SenseAI: A Human-in-the-Loop Dataset for RLHF-Aligned Financial Sentiment Reasoning
SenseAI is a human-in-the-loop financial sentiment dataset with reasoning processes and market outcomes that reveals predictable LLM error patterns like Latent Reasoning Drift for RLHF alignment.
-
The Specification Trap: Why Static Value Alignment Alone Is Insufficient for Robust Alignment
Static value alignment approaches for AI are structurally insufficient for robust alignment because of Hume's is-ought gap, value pluralism, and the extended frame problem.