Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance
The paper presents a multi-turn dialog system tailored for industrial asset operations and maintenance. This system addresses limitations of traditional architectures by enhancing context maintenance and tool invocation efficiency. Evaluation results indicate significant improvements in response quality and task completion rates compared to baseline methods.
- ▪The proposed system utilizes a supervisor-specialist multi-agent architecture.
- ▪It incorporates structured artifact reuse, dynamic replanning, and parallel tool execution to improve efficiency.
- ▪Evaluation shows a 54.5% increase in planning effectiveness and a 37.8% improvement in task completion.
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Record
| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.24953 |
| Publication time | Tue, 26 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-26T04:07:43.013Z |
| Last seen | 2026-05-26T04:07:43.013Z |
| 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 | Lm0WzZg94U2Q |
| 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 |
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| 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:2605.24953 (cs) [Submitted on 24 May 2026] Title:Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance Authors:Chengrui Li, Rujing Li, Yitong Bai, Rui Li View a PDF of the paper titled Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance, by Chengrui Li and 3 other authors View PDF HTML (experimental) Abstract:Industrial asset operations and maintenance question answering is inherently multi-turn, iterative, and highly dependent on external tool invocation. However, the conventional plan-execute single-agent architecture exhibits clear limitations in maintaining cross-turn context, and reusing intermediate results.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.
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