SayNext-Bench (IEMOCAP) - Sentence-BERT Similarity: leaderboard
Metric: Mean Sentence-BERT cosine similarity (-1 to 1) between the predicted and the real next utterance; next-utterance anticipation: given the interviewer's question and up to 16 video frames of the speaker's reaction, the model writes the speaker's next answer, zero-shot with one shared prompt (temperature 0.7), on the cross-scenario protocol on IEMOCAP adapted to the task (4,113 turns of acted and improvised dyadic dialogue); higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 6 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | InternVL2-8B | 0.18 | #826 |
| 2 | GPT-4o | 0.18 | #333 |
| 3 | Gemini 2.5 Flash | 0.15 | #237 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=saynext-bench-iemocap-sentence-bert-similarity · How It Works · Data refreshed daily, snapshot 2026-10-11.