SayNext-Bench (IEMOCAP) - BLEU-4: leaderboard

Metric: Corpus BLEU-4 (%, 0-100) of the predicted against the transcribed 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: Around 2030. 6 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Flash0.91#237
2GPT-4o0.47#333
3InternVL2-8B0.44#826

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-bleu-4 · How It Works · Data refreshed daily, snapshot 2026-10-11.