SciTrue - Claim Attribution: leaderboard
Honest per-sample development results on NTCIR SciClaimEval. Author runs include structured table data as an auxiliary text channel; official baseline runs and the PNG-only extension are kept on separate protocol boards. Claim validation is macro-F1, evidence pairing requires both paired claims correct, and attribution is Subtask 2 accuracy. This board is the authors’ structured-table-text protocol.
Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 11 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Fable 5 | 97.7 | #20 |
| 2 | GPT-5.5 | 97.4 | #33 |
| 3 | Claude Opus 4.8 | 92.9 | #39 |
| 4 | Qwen 3.6 35B A3B | 92 | #238 |
| 5 | Gemma 4 31B (IT) | 88.9 | #178 |
| 6 | Qwen 3.5 35B A3B | 86.1 | #268 |
| 7 | Qwen 3.5 9B | 81.8 | #391 |
| 8 | gemma-4-E4B-it | 68.8 | #577 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=scitrue-claim-attribution · How It Works · Data refreshed daily, snapshot 2026-11-05.