Determining the Validity of Large Language Models for Automated Perceptual Analysis
LLMs with Belief Networks
McFadden's Choice Modeling
AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction
More Agents Is All You Need
Discovery of the Hidden World with Large Language Models
Approaching Human-Level Forecasting with Language Models
Assessing Causal Reasoning in Language Models
Turning Large Language Models into Cognitive Models
Using Cognitive Psychology to Understand GPT-3
Questioning the Survey Responses of Large Language Models
Can AI Chatbots Replace Human Subjects in Behavioral Experiments?
Out of One, Many: Using Language Models to Simulate Human Samples
Can AI language models replace human participants?
Using large language models in psychology
Using GPT for Market Research
Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?
Evaluating Large Language Models in Generating Synthetic HCI Research Data: a Case Study
Synthetic data could be better than real data
Large Language Models as Agent Models
The Challenge of Using LLMs to Simulate Human behavior: A Causal Inference Perspective
MPI: Evaluating and inducing Personality of Language Models
Employing large language models in survery
AI Personification: Estimating the Personality of Language Models
Artificial Intelligence from a Psychologist's Point of view
Language models trained on media diets can predict public opinion
Augmented Language Models: A Survey. Mialon et al.2023.
Toolformer: Language Models Can Teach Themselves To Use Tools. Shick et al. 2023
Chain-of-Thought Promting Elicits Reasoning in Large Language Models. Wei et al. 2022
Synergizing Acting and Reasoning in Language Models. Yao et al. 2022
Emergent autonomous scientific research capabilities of large language models Boiko et al. 2023
Generative Agents: Interactive Simulacra of Human Behavior. Park et al. 2023
OpenAGI: When LLM Meets Domain Experts. Ge et al. 2023
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face. Shen et al. 2023
CoMPost: Characterizing and Evaluating Caricature in LLM Simulations
Whose Opinions Do Language Models Reflect? 2023
Evaluating the Replicability of Social Science Experiments in Nature and Science between 2010 and 2015
DeepMind, Fine-tuning language models to find agreement among humans with diverse preferences
Jan Leike(OpenAI), A proposal for importing society's values
Microsoft New Future of Work Report 2023
Relative Value in Large Language Models
Incoherent Probability judgments in Large Language Models
Framework-base Qualitative Analysis of Free Responses of Large Language Models: Algorithmic Fidelity
Large language models cannot replace human participants because they cannot portray identity groups
Do AIs know what the most important issue is? Using language models to code open-text social survey responses at scale
Non-compete Agreements in a Rigid Labour Market: The Case of Italy
Simulating Human Strategic Behavior: Comparing Single and Multi-agent LLMs
Protecting the integrity of survey research
Happy New Year: GPT in 500 lines of SQL
Can You Learn What Helps a Baby Sleep at Night?
Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia
Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy
Random Silicon Sampling: Simulating Human Sub-Population Opinion Using a Large Language Model Based on Group-Level Demographic Information
Automated Social Science: Language Models as Scientist and Subjects
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
Algorithmic Collusion by Large Language Models
Language Models (Mostly) Know What They Know
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction
Large Language Models as Subpopulation Representative Models: A Review
Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LlooM
Machine Bias. Generative Large Language Models Have a View of Their Own
ChatGPT and Perception Biases in Investments: An Experimental Study
Let's Think Dot by Dot: Hidden Computation in Transformer Language Models
From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples
Language models accurately infer correlations between psychological items and scales from text alone
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning
Measuring Implicit Bias in Explicitly Unbiased Large Language Models
Frontiers: Determining the Validity of Large Language Models for Automated Perceptual Analysis
CogBench: a large language model walks into a psychology lab
Measuring What Is Top of Mind
In Silico Sociology: Forecasting COVID-19 Polarization with Large Language Models
Are Emergent Abilities of Large Language Models a Mirage?
Algorithmic Collusion by Large Language Models
In-Context Learning with Long-Context Models: An In-Depth Exploration