TimeWarp: Evaluating Web Agents by Revisiting the Past
As web agents close the gap with humans on benchmarks, one question arises: Do today's agents perform just as well on tomorrow's web? We introduce TimeWarp, a benchmark that emulates the evolving web. TimeWarp consists of three web environments, each with six UI versions spanning UI design, frontend code, and workflows from different eras of the internet. We pair TimeWarp with a set of complex, realistic tasks covering different forms of web navigation. Our experiments reveal that vision-based agents are vulnerable to changes, while text-based agents become brittle once fine-tuned on a single version. To address this, we propose TimeTraj, a new annotation method that uses plan distillatio...
| Authors | Md Farhan Ishmam, Kenneth Marino |
|---|---|
| Primary category | cs.AI |
| Published | 5 March 2026 |
| Last updated at source | 14 October 2026 |
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