Chain-of-Thought Prompting and Performance in Long-Horizon LLM Reasoning Tasks

Abstract

Abstract: This report synthesises findings from 15 peer-reviewed papers addressing the following research question: To what extent does chain-of-thought prompting mitigate performance degradation in long-horizon reasoning tasks for LLMs evaluated on the BigBench suite. 7 claims were extracted from source literature; 7 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.8/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research Question

To what extent does chain-of-thought prompting mitigate performance degradation in long-horizon reasoning tasks for LLMs evaluated on the BigBench suite?

Verification Level

Descriptive public verification status only; aggregate claim counts are public, but individual claim records are not exposed here.

Quality Tier

Descriptive public triage only; this tier does not alter current publication or DOI behavior.

Quality Dimensions

Automated triage signals derived from public fields; not human peer review or independent validation.

Correction Record

Public corrections are additive records. Current status does not claim the synthesis is error-free.

Provenance