PCoA - Contributory Phrases: leaderboard

PCoA (Chu et al., University of Duisburg-Essen, 2026) asks a model to summarize one of sixteen medical aspects (such as participants, intervention, outcomes, blinding or funding) of a randomized controlled trial abstract, cite the supporting sentences and extract the contributory phrases from them, over 1,799 expert-annotated instances, zero-shot. This board scores the contributory phrases: token-level F1 (0 to 1) of the phrases extracted from the cited sentences against the reference phrases, counting only phrases that come from a cited sentence and appear in the summary; higher is better.

Metric: Phrase F1 (0-1; token overlap of extracted contributory phrases with the reference phrases, phrases drawn from cited sentences). Source: arxiv.org. Saturation forecast: Estimated already saturated. 4 models tracked.

Top models

#ModelScoreOverall rank
1Mistral Large 2 (Nov) Instruct (2411)0.57#1199
2GPT-4o0.54#741
3DeepSeek V3 (0324)0.54#704
4Llama 3.1 70B Instruct0.54#1541

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

Interactive version: theaggregate.ai/benchmark?slug=pcoa-contributory-phrases · How It Works · Data refreshed daily, snapshot 2026-11-12.