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Significant advancements have occurred in the application of Large Language Models (LLMs) for social simulations.
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Persuasion for good: Towards a personalized persuasive dialogue system for social good
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CUI@CHI: Inclusive Design of CUIs Across Modalities and Mobilities. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI EA ’23) . Association for Computing Machinery, New York, NY, USA, Article 341, 5 pages
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A Survey on Large Language Model based Autonomous Agents
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What is skills mismatch and why should we care?
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On the opportunities and risks of foundation models
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Training language models to follow instructions with human feedback
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Social Simulacra: Creating Populated Prototypes for Social Computing Systems. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (Bend, OR, USA) (UIST ’22) . Association for Computing Machinery, New York, NY, USA, Article 74, 18 pages
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Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , Yoav Goldberg, Zornitsa Kozareva, and Yue Zhang (Eds.). Association for Computational Linguistics, Abu Dhabi, United Arab Emirates, 3762–3780
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Exploring large language models for communication games: An empirical study on werewolf
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How FaR Are Large Language Models From Agents with Theory-of-Mind?
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Can Large Language Models Transform Computational Social Science?
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How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis. In Forty-first International Conference on Machine Learning
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AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
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Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?. In Proceedings of the 25th ACM Conference on Economics and Computation (New Haven, CT, USA) (EC ’24) . Association for Computing Machinery, New York, NY, USA, 614–615
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"My agent understands me better": Integrating Dynamic Human-like Memory Recall and Consolidation in LLM-Based Agents. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI EA ’24) . Association for Computing Machinery, New York, NY, USA, Article 7, 7 pages
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