CIPHER Cross-Record Inference - CFPB (Least-to-Most): leaderboard

Cross-record inference over privacy-hardened Consumer Financial Protection Bureau complaint records with redacted narratives, from CIPHER (Roy Chowdhury et al., 2026): expert-validated questions combine structured fields with free-text narratives across 39 to 42 supplied records, answered with least-to-most decomposition prompting. Harmonic answer score in percent, the per-question harmonic mean of token overlap and Gemini 2.5 Flash acceptance; higher is better.

Metric: Harmonic answer score (%; per question the harmonic mean of token overlap with the reference and Gemini 2.5 Flash semantic acceptance, zero when rejected, averaged; Consumer Financial Protection Bureau complaint records with redacted narratives; the full support-controlled context of 39-42 records including distractors; least-to-most decomposition prompting; greedy decoding). Source: arxiv.org. Saturation forecast: Around February 2027. 5 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 Next 80B A3B44.8#756
2Gemini 2.0 Flash43.6#702
3Llama 3.3 70B Instruct33.6#1353
4GPT-OSS-120B32.6#699
5GPT-OSS-20B29.3#1150

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=cipher-cross-record-inference-cfpb-least-to-most · How It Works · Data refreshed daily, snapshot 2026-11-12.