MalruleLib - Cross-Template with Steps: leaderboard

Cross-template misconception prediction from MalruleLib (Chen, Liu and Sonkar, ACL 2026) when the worked example also shows the student's step-by-step malrule reasoning: the model predicts the answer the same student gives on a problem from a different template of that malrule. Exact-match accuracy in percent over 7,700 pairs; higher is better.

Metric: Malrule Reasoning Accuracy (%; predict the student's next answer from one worked mistake; cross-template, with the student's steps). Source: arxiv.org. Saturation forecast: Estimated already saturated. 9 models tracked.

Top models

#ModelScoreOverall rank
1GPT-OSS-120B60.9#699
2Qwen 3 Next 80B A3B (Thinking)59.8#591
3GPT-OSS-20B57.7#1150
4Qwen 3 Next 80B A3B Instruct54.4#763
5Llama 3.3 70B Instruct48.5#1353
6Phi-447.2#1920
7Qwen 3 4B34.6#2297
8Phi-4 Mini Instruct26.3#6452

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

Interactive version: theaggregate.ai/benchmark?slug=malrulelib-cross-template-with-steps · How It Works · Data refreshed daily, snapshot 2026-11-12.