Yonsei team tests a unified web-access interface for agents
Web$hell combines search, browser actions and revisiting earlier page states in one interface.
Event / data period: 2026-10-09
Published: · Updated:
Yonsei University researchers introduced Web$hell, an interface that brings web search, page interaction and revisiting previously gathered evidence into one system for AI agents. WebContract compiles pages into information and action objects; WebCache stores page states so agents can inspect earlier versions after an interaction.
In experiments, Web$hell used an average of 17.6 interaction turns per task on DeepWeb-Bench research tasks, compared with 52.4 for CLI-Any-Browser. The authors also report performance gains on web-search, navigation and multi-source research benchmarks. These measurements reflect specific agents, interfaces and benchmark settings; they do not establish success across general web use.
Data
Measure
DeepWeb-Bench multi-source research tasks; mean turns per task
| Mean turns per DeepWeb-Bench task with Web$hell | 17.6 | DeepWeb-Bench multi-source research tasks; mean turns per task |
Methodology
Values come from the paper's stated benchmark experiments; they are not field measurements or general performance guarantees.
Updated:
Measure
DeepWeb-Bench multi-source research tasks; CLI-Any-Browser comparison
| Mean turns per DeepWeb-Bench task with CLI-Any-Browser | 52.4 | DeepWeb-Bench multi-source research tasks; CLI-Any-Browser comparison |
Methodology
Values come from the paper's stated benchmark experiments; they are not field measurements or general performance guarantees.
Updated:
Subjects and places
Subject proposals
- Science and technologySuggested
- Preserved editorial category/topic; broad candidate onlyarxiv.org ↗
Geographic references
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- South Korea · Place role: Coverage · Place type: Country or area · Location precision: RegionalEvidence
- Explicit preserved editorial country/region; no city or national centroid inferredarxiv.org ↗