BOOKMARKS: Efficient Active Storyline Memory for Role-playing

arXiv:2605.14169 · cs.CL · Submitted 2026-05-13 · Read on arXiv

cs.CL

Submitted: 2026-05-13

Updated: 2026-09-26

Terminology

• Grounding — 47× in this paper · explained in 3 episodes
• Benchmark — 24× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Consistency — 5× in this paper · explained in 3 episodes
• Hallucination — 4× in this paper · explained in 3 episodes
• Benchmarking — 3× in this paper · explained in 3 episodes
• Personalization — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• GRPO — 1× in this paper · explained in 6 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Incremental Behavior Update — 1× in this paper
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Steering — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• From Persona to Personalization: A Survey on Role-Playing Language Agents
• Persona Vectors: Monitoring and Controlling Character Traits in Language Models
• MOOM: Maintenance, Organization and Optimization of Memory in Ultra-Long Role-Playing Dialogues
• PsyMem: Fine-grained psychological alignment and Explicit Memory Control for Advanced Role-Playing LLMs
• RoleRMBench & RoleRM: Towards Reward Modeling for Profile-Based Role Play in Dialogue Systems
• Learning to Reason for Long-Form Story Generation
• DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
• MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation
• Deriving Character Logic from Storyline as Codified Decision Trees
• RoleEval: A Bilingual Role Evaluation Benchmark for Large Language Models
• Identity-Driven Hierarchical Role-Playing Agents
• Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning
• ERABAL: Enhancing Role-Playing Agents through Boundary-Aware Learning
• Memory-Driven Role-Playing: Evaluation and Enhancement of Persona Knowledge Utilization in LLMs
• OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas
• CoSER: A Comprehensive Literary Dataset and Framework for Training and Evaluating LLM Role-Playing and Persona Simulation
• RoleRAG: Enhancing LLM Role-Playing via Graph Guided Retrieval
• RAIDEN-R1: Improving Role-awareness of LLMs via GRPO with Verifiable Reward
• LARP: Language-Agent Role Play for Open-World Games
• PsyPlay: Personality-Infused Role-Playing Conversational Agents

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