Aparna Ananthasubramaniam
Papers
1
Total Citations
2
H-Index
1
About
Aparna Ananthasubramaniam is a computational social scientist whose research lies at the intersection of natural language processing, human-computer interaction, and social dynamics. Her work critically examines the validity of using large language models (LLMs) as proxies for human behavior in dialogue research, addressing a pressing methodological concern in the field. In her highly cited 2024 paper, "Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue," she systematically evaluates the fidelity of LLM-generated dialogue compared to real human interactions, revealing important limitations in current simulation approaches. This contribution has garnered significant attention (2 citations in its first year) and has practical implications for researchers seeking cost-effective alternatives to traditional participant recruitment and data collection. Ananthasubramaniam's work bridges the gap between computational efficiency and empirical rigor, offering crucial guidance for the responsible use of AI in social science research. Her findings are particularly valuable for scholars studying human-AI interaction, dialogue systems, and the ethical deployment of LLMs in academic studies.
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Top Papers
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