EYT-Bench (Nemotron-USA) - Explicit Intent: leaderboard

EYT-Bench (Enjoy Your Talk, 2026) evaluates LLMs as multi-turn conversational partners with a persona-grounded user simulator and an independent LLM judge; each turn the target model predicts the user state before replying. Per-turn explicit-intent label accuracy in percent on the Nemotron-Personas-USA pool of structured demographic personas; higher is better.

Metric: Per-turn explicit-intent accuracy (%; the target model first predicts the user explicit-intent label from 12 classes, scored against the simulator gold label, before generating its reply; multi-turn dialogues of up to 10 turns with a persona-grounded Gemini 3.1 Pro user simulator and a Gemini 3.1 Pro judge (reasoning effort high, temperature 0); Nemotron-Personas-USA pool (100 dialogues; structured demographic personas)). Source: arxiv.org. Saturation forecast: Around August 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V4 Pro55.2#188
2GPT-5.549.3#49
3Gemini 3.1 Pro (Preview) (Thinking)46.7#94 (Gemini 3.1 Pro (Preview))
4DeepSeek V4 Flash37.4#258
5Qwen 3.5 397B A17B37.2#246
6Qwen 3.5 27B35.9#359
7Claude Sonnet 4.633.8#161
8Claude Opus 4.729.3#79
9Qwen 3.5 35B A3B28.3#482
10Seed 2.0 Mini26.4#508
11Seed 2.0 Pro25.2#211
12Seed 2.0 Lite19.6#289

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

Interactive version: theaggregate.ai/benchmark?slug=eyt-bench-nemotron-usa-explicit-intent · How It Works · Data refreshed daily, snapshot 2026-11-13.