Research

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