Parallel LLM Reasoning for Bias-Resilient, Robust Conceptual Abstraction

In three linesStudy proposing a parallel chunk-level processing framework for analyzing long documents with LLMs. Text is divided into semantically coherent segments processed independently, then consolidated with explicit evidence anchoring. Results: 84% reduction in omission error, 130% increase in evidence traceability, 91% reduction in unsupported claims.

Summary generated by Claude — human-verified