TS-Skill (Free-Form): leaderboard

Free-form protocol of TS-Skill (Han et al., UCLA and Carnegie Mellon University, 2026): 3,000 questions about synthetic, timestamped time series from 25 domains that need temporal scale selection, temporal localization or cross-interval integration, answered in prose. GPT-5.4 parses each answer into the gold answer's structure, which is scored with type-matched comparators (labels, counts with off-by-one credit, banded numeric and timestamp error, interval overlap) plus a GPT-5.4 judge for rationale text; the score is the mean per-question score on a 0-1 scale, higher is better.

Metric: Native-form score (0-1; free-form answers parsed by GPT-5.4 and scored with answer-type comparators plus a GPT-5.4 rationale judge, mean over 3,000 questions). Source: arxiv.org. Saturation forecast: Around February 2027. 9 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4o0.67#741
2O3 Mini0.61#536
3Claude Sonnet 4.50.6#244
4Qwen 3 32B (Thinking)0.55#960 (Qwen 3 32B)
5Qwen 2.5 14B Instruct0.51#1745
6Qwen 2.5 VL 7B0.5#1796

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=ts-skill-free-form · How It Works · Data refreshed daily, snapshot 2026-11-12.