IdeaTaste - Machine learning systems - landscape - Match-Idea: leaderboard
IdeaTaste Table 2:300 proposed ideas per area/prompt setting, matched to held-out 2026 research papers with GPT-5.6 Luna using published citation and idea-overlap rubric. Four prompt-information conditions separate. Six actual agent models listed in AppendixD; native percent overlap retained, no claim that citation imitation is novelty. Human comparison and diversity concentration diagnostics are not model observations. Reasoning controls not reported. Metric: Reference overlap (%).
Metric: Reference overlap (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 6 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Llama 4 Scout | 4.91 | #648 |
| 2 | Claude Haiku 4.5 | 1.48 | #287 |
| 3 | Gemini 3.5 Flash Lite | 1.38 | #174 |
| 4 | K2 Horizon 375B A23B | 1.1 | #165 |
| 5 | DeepSeek V4 Flash | 1.05 | #155 |
| 6 | Qwen 3.8 27B | 1 | #123 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=ideataste-machine-learning-systems-landscape-match-idea · How It Works · Data refreshed daily, snapshot 2026-11-05.