NitiBench+ - Cited sections recall: leaderboard

NitiBench+ Table 17:500 held-out Thai legal questions; three distinct evidence settings. Bar-standard answer scores 0–10; citation precision/recall/F 1 fractions 0–1. avg@3 for 13 self-hosted bf 16 models; other rows are leaderboard API observations, not replicated avg@3. AppendixC exact checkpoints and reasoning-on controls retained; other API effort unspecified. Same official judging rubric; citations checked against current in-force law. The public live site was 403, resolved via complete native paper table. Metric: Recall (0–1).

Metric: Recall (0–1). Source: arxiv.org. Saturation forecast: Around February 2027. 26 models tracked.

Top models

#ModelScoreOverall rank
1Claude Fable 5.10.88#10
2Gemini 4 Argon0.86#9
3Claude Opus 5.50.81#3
4DeepSeek V4.1 Flash0.8#37
5GPT-6.1 Sol0.8#7
6GPT-6.1 Terra0.77#15
7Claude Sonnet 5.50.75#14
8DeepSeek V4 Flash0.74#155
9Muse Spark 1.30.72#31
10Qwen 3.8 27B0.7#123
11Claude Haiku 5.50.69#43
12Gemma 4 31B (IT) (Thinking)0.46#178 (Gemma 4 31B (IT))
13NVIDIA-Nemotron-3-Super-120B-A12B-BF16 (Thinking)0.42#394 (NVIDIA-Nemotron-3-Super-120B-A12B-BF16)
14gemma-4-26B-A4B-it (Thinking)0.22
15Qwen 3 8B0#678

No result here: #6 GPT-6 Astra.

Interactive version: theaggregate.ai/benchmark?slug=nitibench-plus-cited-sections-recall · How It Works · Data refreshed daily, snapshot 2026-11-05.