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SUMMARY:Using Large Language Models for Social Simulations
DTSTART:20240620T110000
DTEND:20240620T130000
DTSTAMP:20260415T122034Z
UID:b4a7adb26a6eaddeed07fb81a0718b2c89fca9807d5bb139925ba8d2
CATEGORIES:Conferences - Seminars
DESCRIPTION:Ivan Zakazov\nEDIC candidacy exam\nExam president: Prof. Tanja
  Käser\nThesis advisor: Prof. Robert West\nCo-examiner: Prof. Martin Schr
 impf\n\nAbstract\nWith the seminal Simulacra work\, we are now entering th
 e era of LLM-based human behaviour simulations. But can we reliably shape 
 personalities of the subjects of these simulations? And will it ever be po
 ssible to cut the (often prohibitive) costs of running those? With this wo
 rk\, we aim to provide solutions to these challenges.\n\nBackground papers
 \n1. Generative Agents: Interactive Simulacra of Human Behavior — https
 ://arxiv.org/abs/2304.03442\n2. Evaluating and Inducing Personality in Pre
 -trained Language Models — https://arxiv.org/abs/2206.07550\n3. LLMLing
 ua: Compressing Prompts for Accelerated Inference of Large Language Models
  — https://arxiv.org/abs/2310.05736\n 
LOCATION:BC 229 https://plan.epfl.ch/?room==BC%20229
STATUS:CONFIRMED
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