CLARITY (BIRD) - Lexical Ambiguity (Uni-Facet): leaderboard
Metric: Execution accuracy (%) on multi-turn BIRD instances whose request has one lexically 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 January 2027. 5 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 | 71.8 |
| 2 | Llama 3.3 70B Instruct | 66 |
| 3 | GPT-4.1 | 64.8 |
| 4 | GPT-4o | 62.8 |
Interactive version: theaggregate.ai/benchmark?slug=clarity-bird-lexical-ambiguity-uni-facet · How It Works · Data refreshed daily, snapshot 2026-10-07.