Transformer-based large language models (LLMs) are fundamentally vulnerable to self-bias and hallucination due to their reliance on a single autoregressive attention mechanism. The same component that generates tokens also implicitly validates them, creating a closed loop that cannot self-correct… See the full description on the dataset page:
https://huggingface.co/datasets/makas8585/dual-brain-inference.
