OpenIIR provides a shared core and pluggable interface for running reproducible multi-agent simulations of information retrieval using LLM personas in four defined study archetypes.
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Evalet applies functional fragmentation to deliver fragment-level qualitative analysis of LLM evaluations, with a user study showing 48% more misalignment detections than holistic scoring.
DoubleAgents shows that a distributed-cognition design with coordination agent, dashboard, and policy module increases user comfort and reliance on AI agents for coordination tasks over time.
citing papers explorer
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OpenIIR: An Open Simulation Platform for Information Retrieval Research
OpenIIR provides a shared core and pluggable interface for running reproducible multi-agent simulations of information retrieval using LLM personas in four defined study archetypes.
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Evalet: Evaluating Large Language Models through Functional Fragmentation
Evalet applies functional fragmentation to deliver fragment-level qualitative analysis of LLM evaluations, with a user study showing 48% more misalignment detections than holistic scoring.
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DoubleAgents: Human-Agent Alignment in a Socially Embedded Workflow
DoubleAgents shows that a distributed-cognition design with coordination agent, dashboard, and policy module increases user comfort and reliance on AI agents for coordination tasks over time.