PQR is a dual-module iterative framework that generates diverse and realistic queries to elicit failures in QA agents, detecting 23-78% more unhelpful responses than prior methods.
and Li, Xian , month = jun, year =
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Belief Engine is a configurable belief-update mechanism for multi-agent LLM systems that uses structured argument extraction and log-odds stance updates to make evidence-grounded deliberation inspectable and controllable.
On-demand runtime generation of persona-based agents can enable personalized multi-agent AI workflows beyond fixed hard-coded architectures.
citing papers explorer
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PQR: A Framework to Generate Diverse and Realistic User Queries that Elicit QA Agent Failures
PQR is a dual-module iterative framework that generates diverse and realistic queries to elicit failures in QA agents, detecting 23-78% more unhelpful responses than prior methods.
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Belief Engine: Configurable and Inspectable Stance Dynamics in Multi-Agent LLM Deliberation
Belief Engine is a configurable belief-update mechanism for multi-agent LLM systems that uses structured argument extraction and log-odds stance updates to make evidence-grounded deliberation inspectable and controllable.
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Building Persona-Based Agents On Demand: Tailoring Multi-Agent Workflows to User Needs
On-demand runtime generation of persona-based agents can enable personalized multi-agent AI workflows beyond fixed hard-coded architectures.