CLARITY (BIRD) - Semantic Ambiguity (Uni-Facet): leaderboard
Metric: Execution accuracy (%) on multi-turn BIRD instances whose request has one semantically ambiguous column term; the model reads a generated user-agent clarification dialogue and writes one SQL query; execution accuracy against the original query, macro-averaged over conversation types; zero-shot, temperature 0, 2,048 output tokens; higher is better. Source: arxiv.org. Saturation forecast: Around November 2027. 5 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 3.3 70B Instruct | 65.6 |
| 2 | GPT-5 | 64 |
| 3 | GPT-4.1 | 62.2 |
| 4 | GPT-4o | 55.6 |
Interactive version: theaggregate.ai/benchmark?slug=clarity-bird-semantic-ambiguity-uni-facet · How It Works · Data refreshed daily, snapshot 2026-10-07.