benchmarks evals
The Time Series Needs Two Ways of Seeing
One view keeps absolute measurements; another removes scale and offset to expose temporal structure.
Summary
One view keeps absolute measurements; another removes scale and offset to expose temporal structure.
A single time-series representation forces every downstream question to inherit the same invariances. This model combines ordinary line plots with normalized delay embeddings: the first preserves values and axes, while the second removes positive rescaling and offsets to reveal structure. Dedicated visual encoders fuse both into a language model. On TSRBench, the dual-view system improved overall accuracy from 44.5 percent with line plots alone to 53.2 percent, above the strongest tested dedicated baseline at 36.7 percent. It also reported 89.9 percent on TSExam and 86.8 percent numerical accuracy on multivariate ChatTS alignment. Those benchmark gains do not guarantee operational forecasting accuracy.
Why it matters
One view keeps absolute measurements; another removes scale and offset to expose temporal structure.
Limits and context
- Those benchmark gains do not guarantee operational forecasting accuracy.
Key claims
One view keeps absolute measurements; another removes scale and offset to expose temporal structure.
Qualification: Those benchmark gains do not guarantee operational forecasting accuracy.
Evidence: source-2026-10-18-012
Sources
- arXiv preprint 2610.22327, original v1arXiv · primary research
Corrections
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