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LiveSim framework uses LLMs to simulate evolving user behavior in live-streaming ecosystems

By PulseAugur Editorial · [4 sources] ·

Researchers have developed LiveSim, a novel framework utilizing large language models (LLMs) to simulate user behavior in multi-agent live-streaming ecosystems. Unlike previous simulators that relied on static user profiles, LiveSim represents users as dynamic behavioral hypotheses that are refined through interactions. This approach captures how user behavior evolves within social environments, allowing for more accurate simulation of ecosystem dynamics and the effects of platform interventions. Experiments on real-world data demonstrate LiveSim's effectiveness in enhancing user-level behavioral fidelity and enabling ecosystem-level analysis. AI

IMPACT Enables more accurate simulation of complex social dynamics and platform interventions in live-streaming environments.

RANK_REASON The cluster describes a research paper detailing a new simulation framework.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 4 sources. How we write summaries →

LiveSim framework uses LLMs to simulate evolving user behavior in live-streaming ecosystems

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The cluster describes a research paper detailing a new simulation framework.
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4 independent sources
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paper, model release
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COVERAGE [4]

  1. arXiv cs.AI TIER_1 English(EN) · Jiaqi Xu, Yiran Qiao, Jing Chen, Qiwei Zhong, Xiang Ao, Xueqi Cheng ·

    LiveSim: Simulating Environment-Shaped Users in Multi-Agent Live-Stream Ecosystems

    arXiv:2608.26849v1 Announce Type: new Abstract: User behavior simulation with large language models~(LLMs) is increasingly used to support multi-agent ecosystem simulation. Existing simulators typically rely on static user profiles inferred from historical observations, which bec…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Xueqi Cheng ·

    LiveSim: Simulating Environment-Shaped Users in Multi-Agent Live-Stream Ecosystems

    User behavior simulation with large language models~(LLMs) is increasingly used to support multi-agent ecosystem simulation. Existing simulators typically rely on static user profiles inferred from historical observations, which become inadequate in socially intensive environment…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    LiveSim: Simulating Environment-Shaped Users in Multi-Agent Live-Stream Ecosystems

    User behavior simulation with large language models~(LLMs) is increasingly used to support multi-agent ecosystem simulation. Existing simulators typically rely on static user profiles inferred from historical observations, which become inadequate in socially intensive environment…

  4. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Xueqi Cheng ·

    LiveSim: Simulating Environment-Shaped Users in Multi-Agent Live-Stream Ecosystems

    User behavior simulation with large language models~(LLMs) is increasingly used to support multi-agent ecosystem simulation. Existing simulators typically rely on static user profiles inferred from historical observations, which become inadequate in socially intensive environment…

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