ArXiv paper presenting BiMind, a machine learning model for detecting incorrect information using a dual-head reasoning architecture and attention-geometry adapter. Contributes to the broader misinformation detection literature in NLP.
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BiMind: A Dual-Head Reasoning Model with Attention-Geometry Adapter for Incorrect Information Detection
BiMind combines dual-head reasoning with an attention-geometry adapter to improve misinformation detection in natural language processing.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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