Peer Identity Bias in Multi-Agent LLM Evaluation: An Empirical Study Using the TRUST Democratic Discourse Analysis Pipeline

Documenti analoghi

• From Safety Risk to Design Principle: Peer-Preservation in Multi-Agent LLM Systems and Its Implications for Orchestrated Democratic Discourse Analysis
  di: Dietrich, Juergen
  Pubblicazione: (2026)
• When Roles Fail: Epistemic Constraints on Advocate Role Fidelity in LLM-Based Political Statement Analysis
  di: Dietrich, Juergen
  Pubblicazione: (2026)
• TACLA: An LLM-Based Multi-Agent Tool for Transactional Analysis Training in Education
  di: Zamojska, Monika, et al.
  Pubblicazione: (2025)
• MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents
  di: Zhu, Kunlun, et al.
  Pubblicazione: (2025)
• Scaling Behavior of Single LLM-Driven Multi-Agent Systems
  di: Li, Jialing, et al.
  Pubblicazione: (2026)