CIPHER Cross-Record Inference - MIMIC (Few-Shot): leaderboard
Cross-record inference over privacy-hardened MIMIC clinical 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 two-example few-shot 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; MIMIC clinical records with redacted narratives; the full support-controlled context of 39-42 records including distractors; two-example few-shot prompting; greedy decoding). Source: arxiv.org. Saturation forecast: Around January 2028. 5 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-OSS-20B | 32.3 | #1150 |
| 2 | GPT-OSS-120B | 26.2 | #699 |
| 3 | Llama 3.3 70B Instruct | 25.8 | #1353 |
| 4 | Qwen 3 Next 80B A3B | 25.8 | #756 |
| 5 | Gemini 2.0 Flash | 23.1 | #702 |
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-mimic-few-shot · How It Works · Data refreshed daily, snapshot 2026-11-12.