The field of large language models (LLMs) is rapidly evolving, with significant advancements in their application to social science and e-commerce. Recent developments have focused on leveraging LLMs for text annotation, personalized product design, and simulation of human behavior. These innovations have the potential to revolutionize various aspects of social science research and e-commerce, enabling more efficient and accurate data analysis, and improving customer experience. Notably, LLMs have been shown to be effective in predicting field experiment outcomes, simulating public opinions, and generating personalized products. However, concerns regarding bias and fairness in LLMs remain, highlighting the need for ongoing research into mitigating these issues. Overall, the current trajectory of LLM research holds considerable promise for advancing our understanding of human behavior and improving business practices. Noteworthy papers include: 'Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items' which introduces a novel system for personalized product design, and 'LLM Social Simulations Are a Promising Research Method' which argues for the potential of LLM social simulations in understanding human behavior.
Advancements in Large Language Models for Social Science and E-Commerce Applications
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The Risks of Using Large Language Models for Text Annotation in Social Science Research
Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items
Large Language Models Are Democracy Coders with Attitudes
InfoBid: A Simulation Framework for Studying Information Disclosure in Auctions with Large Language Model-based Agents
LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused Evaluation
Evaluating how LLM annotations represent diverse views on contentious topics
A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models
Agent-Based Simulations of Online Political Discussions: A Case Study on Elections in Germany
PAARS: Persona Aligned Agentic Retail Shoppers
Synthesizing Public Opinions with LLMs: Role Creation, Impacts, and the Future to eDemorcacy
Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework
Predicting Field Experiments with Large Language Models
An Agent-based Model Simulation Approach to Demonstrate Effects of Aging Population and Social Service Policies on Pensions Fund and Its Long-term Socio-economic Consequences
Implicit Bias Injection Attacks against Text-to-Image Diffusion Models
The LLM Wears Prada: Analysing Gender Bias and Stereotypes through Online Shopping Data
LLM Social Simulations Are a Promising Research Method
Parallel Market Environments for FinRL Contests
Language Models reach higher Agreement than Humans in Historical Interpretation