LogicScore - HotpotQA Determinateness: leaderboard

LogicScore (Yan et al., 2026) Determinateness on 1,939 chain-structured HotpotQA questions (distractor setting): 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. Determinateness is the share of answers whose own short answer o4-mini recovers from the long-form answer alone, a consistency check rather than a correctness check. Percent, higher is better; single run.

Metric: Determinateness (%; answers whose own short answer o4-mini re-derives from the long-form answer alone; 1,939 HotpotQA distractor-setting items). Source: arxiv.org. Saturation forecast: Estimated already saturated. 21 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.199.15#225
2O398.92#224
3Qwen 3 235B A22B98.87#622
4Gemini 3 Pro98.56#135
5DeepSeek R198.56#467
6DeepSeek V3.297.96#403
7Qwen 3 30B A3B97.77#1124
8Qwen 3 8B97.68#1838
9GPT-4o97.36#741
10Qwen 3 14B97.31#1235
11Qwen 3 4B96.87#2297
12Qwen 3 1.7B92.9#5551
13Qwen 3 0.6B81.52#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-hotpotqa-determinateness · How It Works · Data refreshed daily, snapshot 2026-11-12.