Papers with persona generation

2 papers
Neuro-Symbolic Agentic Reinforcement Learning for Long-Term Original Character Companionship and Interaction (2026.acl-short)

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Challenge: Existing LLM-based agents that are optimized by prompting or supervised fine-tuning exhibit a generalization gap in long-horizon, socially rich interactions.
Approach: They propose a framework that formalizes OC companion agents’ interactions as a POMDP and decomposes the agent into three sub-policies optimized via closed-loop RL from AI feedback with verifiable rewards in a graph-constrained action space.
Outcome: The proposed framework formalizes OC companion agents’ interactions as a POMDP and decomposes the agent into three sub-policies (Router, Memory, and Persona) with verifiable rewards in a graph-constrained action space.
Analysing LLM Persona Generation and Fairness Interpretation in Polarised Geopolitical Contexts (2026.eacl-srw)

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Challenge: Large language models are increasingly used for social simulation and persona generation.
Approach: They analysed personas generated for Palestinian and Israeli identities by popular LLMs across 640 experimental conditions, varying context and assigned roles.
Outcome: The results show that large language models are increasingly utilised for social simulation and persona generation.

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