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New framework interprets conflicting intents for cloud service discovery

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new framework designed to interpret natural language intents for cloud service discovery and negotiation. This system addresses the challenge of incomplete or conflicting user requests by refining intents, detecting conflicts, and structuring them into a provider-independent TOSCA template. It then identifies suitable services from provider catalogs and engages in iterative negotiation with the user to resolve any remaining conflicts or unsatisfiable requirements. Evaluations show this framework improves recall and F1 scores for conflict detection and service discovery while reducing hallucinated offers. AI

IMPACT This framework could streamline cloud service selection by better understanding and resolving complex user requests.

RANK_REASON The cluster contains a research paper detailing a new framework for intent interpretation and service discovery. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New framework interprets conflicting intents for cloud service discovery

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The cluster contains a research paper detailing a new framework for intent interpretation and service discovery. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Wided Meflah, Hayet Brabra, Walid Gaaloul ·

    A Negotiation-Aware Hybrid LLM Framework for Intent Interpretation and Service Discovery

    arXiv:2610.40161v1 Announce Type: new Abstract: Increasingly, users express their needs as natural-language intents rather than structured requests. These intents may be incomplete, high-level, or internally conflicting. A conflicting intent either violates fundamental properties…

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