Extension: K-NLPers at SemEval-2026 Task 7: Multiple LLM Agent Debate System for Everyday Knowledge Across Diverse Languages and Cultures
K-NLPers operationalizes the core sequence in a bounded inference setting: multiple agents independently generate candidate responses, cross-review and refine peer outputs, and a separate judge selects the final response. This independently extends Kaal's pool design with an implemented three-stage protocol and evaluated multilingual task results. The source does not establish an economic validation pool, reputation or stake, legal finality, or strict role exclusion because producer agents also perform peer critique.
Affirmed commentary position. This record extends a source-bound scholarly claim but is not a verbatim paper claim.
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Current debate
Scholarly basis
Evidence and mapping
Topics
ai-and-agentsinstitutional-designscholarly-growth-coveragescholarly-literaturemulti-agent-systemsdeliberationevaluation-and-adjudication
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