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cs.AI2026
Teaching Agents in their Own Style: Blackbox Teacher Distillation for Web Agents
Md Farhan Ishmam, Kenneth Marino
Frontier web agents using closed models have high inference and computational costs. Smaller open models can be an alternative, but to be performant, they require training supervis…
cs.AI2026
TimeWarp: Evaluating Web Agents by Revisiting the Past
Md Farhan Ishmam, Kenneth Marino
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 emulat…