LLMs assigned advocate roles in political statement analysis frequently override those roles due to epistemic constraints, as quantified by new metrics and a stance classifier across 60 English and German statements.
Revealing Political Bias in LLMs through Structured Multi-Agent Debate
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
A rapid review of fairness in LLM-enabled multi-agent systems for the software development lifecycle concludes that the field lacks standardized evaluations, broad coverage, and effective governance, leaving it unprepared for deployable fair systems.
citing papers explorer
-
When Roles Fail: Epistemic Constraints on Advocate Role Fidelity in LLM-Based Political Statement Analysis
LLMs assigned advocate roles in political statement analysis frequently override those roles due to epistemic constraints, as quantified by new metrics and a stance classifier across 60 English and German statements.
-
Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Review
A rapid review of fairness in LLM-enabled multi-agent systems for the software development lifecycle concludes that the field lacks standardized evaluations, broad coverage, and effective governance, leaving it unprepared for deployable fair systems.