LogicScore - 2WikiMultiHopQA Essentiality: leaderboard

LogicScore (Yan et al., 2026) Essentiality on 2,177 chain-structured 2WikiMultiHopQA questions: the model writes a cited step-by-step answer and a short answer from the retrieved documents, and GPT-4o-mini splits the long answer into propositions and entity triples. Essentiality is the share of those propositions that lie on a recovered path from the gold answer back to a question entity, and 0 when no path is found. Percent, higher is better; single run.

Metric: Essentiality (%; share of the answer's extracted propositions that lie on the recovered question-to-gold-answer path, 0 when no path is recovered; 2,177 2WikiMultiHopQA items). Source: arxiv.org. Saturation forecast: Not forecast. 21 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek R156.41#467
2Qwen 3 30B A3B55.99#1124
3Qwen 3 14B54.56#1235
4Gemini 3 Pro53.93#135
5Qwen 3 4B53.85#2297
6Qwen 3 235B A22B53.25#622
7Qwen 3 8B52.88#1838
8Qwen 3 1.7B52.06#5551
9O350#224
10GPT-4o46.55#741
11DeepSeek V3.244.32#403
12GPT-5.137.96#225
13Qwen 3 0.6B31.53#8392

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

Interactive version: theaggregate.ai/benchmark?slug=logicscore-2wikimultihopqa-essentiality · How It Works · Data refreshed daily, snapshot 2026-11-12.