DeskCraft: Benchmarking Desktop Agents on Professional Workflows and Human-in-the-Loop Collaboration
The paper titled 'DeskCraft' introduces a new benchmark for evaluating desktop agents in professional workflows that require human collaboration. It addresses the limitations of existing benchmarks by focusing on long horizon tasks and proactive human-agent interactions. The study evaluates various agents and highlights persistent challenges in delivering complex workflows and clarifying tasks.
- ▪DeskCraft targets long horizon creative and engineering workflows requiring human-in-the-loop collaboration.
- ▪The benchmark organizes tasks into a multilevel difficulty taxonomy, with some tasks requiring over 50 execution steps.
- ▪The evaluation of 18 agents revealed that GPT-5.4 scored 31.6% on standard tasks and 27.6% on interactive tasks.
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Record
| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2606.03103 |
| Publication time | Wed, 03 Jun 2026 00:00:00 -0400 |
| Retrieval time | 2026-06-03T04:11:55.408Z |
| Last seen | 2026-06-03T04:11:55.408Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | rwxuniT0GhLk |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Computer Science > Artificial Intelligence arXiv:2606.03103 (cs) [Submitted on 2 Jun 2026] Title:DeskCraft: Benchmarking Desktop Agents on Professional Workflows and Human-in-the-Loop Collaboration Authors:Wenkai Wang, Tao Xiong, Jingchen Ni, Yunpeng Bao, Xiyun Li, Tianqi Liu, Hongcan Guo, Zilong Huang, Shengyu Zhang View a PDF of the paper titled DeskCraft: Benchmarking Desktop Agents on Professional Workflows and Human-in-the-Loop Collaboration, by Wenkai Wang and 8 other authors View PDF HTML (experimental) Abstract:Real-world professional desktop workflows in specialized creative and engineering software unfold over long horizons and often require human-in-the-loop coordination, where agents proactively seek necessary information and users provide additional instructions,…
Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.
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