Unverified50% confidenceFactExact time
The research team identified defensive strategies of human debaters from real political dialogue corpora and structured them into a dialogue game model.
1
Sources
50%
Confidence
Long-term
Relevance
9/25/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedInteraction modalities should serve the nature of the task rather than blindly following the conversational trend.63% similarUnverifiedTypical collaboration modes in Multi-Agent systems include hierarchical, debate-based, and pipeline-based.62% similarUnverifiedIn group chat scenarios, because the Agent session context is shared, session-level mutex locks must be applied to Agent instances to prevent cross-contamination of multi-user conversation contexts.61% similarUnverifiedDirections being explored in the behavioral security space include using large language models to infer intent from Agent operation plans, semantically comparing operation sequences against predefined task playbooks, and introducing human-in-the-loop approval nodes for critical operations.61% similarUnverified通过 System Prompt 设定角色可利用大语言模型的角色扮演能力模拟真实面试官的追问风格，用于面试陪练61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/949133API
curl https://kongchang.com/api/v1/knowledge/claims/949133MCP
get_claim(id=949133)