EYT-Bench (Nemotron-USA) - Latent 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 latent-intent label accuracy in percent on the Nemotron-Personas-USA pool of structured demographic personas; higher is better.

Metric: Per-turn latent-intent accuracy (%; the target model first predicts the user latent-intent label from 8 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 February 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V4 Pro57.6#188
2GPT-5.549.2#49
3Gemini 3.1 Pro (Preview) (Thinking)46.1#94 (Gemini 3.1 Pro (Preview))
4DeepSeek V4 Flash39.8#258
5Qwen 3.5 397B A17B36.3#246
6Claude Opus 4.734.2#79
7Qwen 3.5 27B28.5#359
8Claude Sonnet 4.627#161
9Qwen 3.5 35B A3B25.7#482
10Seed 2.0 Pro22.5#211
11Seed 2.0 Lite20.9#289
12Seed 2.0 Mini16#508

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-latent-intent · How It Works · Data refreshed daily, snapshot 2026-11-13.