NovBench (RAG) - Coverage: leaderboard

Metric: Coverage (0-1): the share of the consolidated human novelty comments matched by a generated statement with embedding cosine similarity above 0.7; retrieval-augmented prompt with the five most similar ACL, EMNLP and NAACL 2019-2022 titles and abstracts; 1,684 EMNLP 2023 papers: from the novelty-description sentences of the paper introduction (selected by GPT-5) the model writes a novelty evaluation as positive, neutral and negative statements, compared with the expert reviewers novelty comments (extracted by GPT-4o-mini, then deduplicated, consolidated and sorted by sentiment by GPT-4o); greedy decoding, at most 4,096 tokens; higher is better. Source: arxiv.org. Saturation forecast: Not forecast. 19 models tracked.

Top models

#ModelScore
1Gemini 2.5 Flash0.23
2Qwen 3 8B0.17
3DeepSeek R1 Distill Qwen 14B0.17
4Qwen 3 32B0.17
5GPT-OSS-20B0.17
6GPT-50.17
7Qwen 3 14B0.17
8GPT-OSS-120B0.16
9DeepSeek R1 Distill Llama 70B0.15

Interactive version: theaggregate.ai/benchmark?slug=novbench-rag-coverage · How It Works · Data refreshed daily, snapshot 2026-10-07.