Meta and Michigan State Paper Finds LLM Reasoning Graphs Flawed and Confidence-Polluting

A paper by Meta AI and Michigan State University, accepted to EMNLP 2026, proposes a two-stage diagnostic method and finds that LLM-generated reasoning graphs vary widely in quality, with errors contaminating confidence scores.

2026-10-22 ~ 2026-10-22 · 2 related posts

• Meta and MSU paper: LLM-built reasoning graphs are unreliable and their errors leak into confidence scores — rohanpaul_ai · 2026-10-22
• EMNLP 2026 paper: a two-stage diagnostic for LLM reasoning-graph reliability — rohanpaul_ai · 2026-10-22