BOOKMARKS introduces searchable bookmarks as reusable answers to storyline questions, enabling active initialization and passive synchronization for more consistent role-playing agent memory than recurrent summarization.
InCharacter: Evaluating personality fidelity in role-playing agents through psychological interviews
3 Pith papers cite this work. Polarity classification is still indexing.
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CAVI framework uses character-guided token pruning, orthogonal feature modulation, and modality-adaptive role steering to resolve modality-role interference in multimodal RPAs.
Realsim shows simulated users fail to reproduce communication frictions present in real multi-turn chatbot dialogues, yielding overly optimistic evaluations with domain-dependent variability.
citing papers explorer
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BOOKMARKS: Efficient Active Storyline Memory for Role-playing
BOOKMARKS introduces searchable bookmarks as reusable answers to storyline questions, enabling active initialization and passive synchronization for more consistent role-playing agent memory than recurrent summarization.
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Through the Lens of Character: Resolving Modality-Role Interference in Multimodal Role-Playing Agent
CAVI framework uses character-guided token pruning, orthogonal feature modulation, and modality-adaptive role steering to resolve modality-role interference in multimodal RPAs.
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Synthetic Users, Real Differences: an Evaluation Framework for User Simulation in Multi-Turn Conversations
Realsim shows simulated users fail to reproduce communication frictions present in real multi-turn chatbot dialogues, yielding overly optimistic evaluations with domain-dependent variability.