Papers with boosting communication

    1 papers
    Sentipolis: Emotion-Aware Agents for Social Simulations (2026.findings-acl)

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    Challenge: Recent advances in reasoning and long-context memory are making large language models (LLMs) appear increasingly human-like, which has led researchers to adopt LLM agents as a substrate for social simulation.
    Approach: They propose a framework for emotionally stateful agents that integrates continuous Pleasure-Arousal-Dominance representation, dual-speed emotion dynamics, and emotion–memory coupling.
    Outcome: The proposed framework improves emotional grounded behavior, boosting communication, and emotional continuity across thousands of interactions over multiple base models and evaluators.

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