HouseholdBench: Evaluating Large Language Models as Predictors of Household Economic Behavior
cs.CL
Submitted: 2026-10-06
Updated: 2026-10-06
Project page: https://jn-huang.github.io/householdbench
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Inflation Attitudes of Large Language Models
- Out of One, Many: Using Language Models to Simulate Human Samples
- LABOR-LLM: Language-Based Occupational Representations with Large Language Models
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
- How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge
- From Demographics to Survey Anchors: Evaluating LLM Agents for Modeling Retirement Attitudes
- BehaviorBench: Benchmarking Foundation Models for Behavioral Science Tasks
- When Can Digital Personas Reliably Approximate Human Survey Findings?
- LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra
- Synthetic Personalities: How Well Can LLMs Mimic Individual Respondents Using Socio-Economic Microdata?
- Can Large Language Models Anticipate Behavioral Responses to Social Policies? A Case of Pension Enrollment Prediction among China's Flexible Workers
- Simulating Macroeconomic Expectations in Survey Experiments with LLM-based Economic Agents
- Using LLMs to Model the Beliefs and Preferences of Targeted Populations
- LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
- AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society
- Mitigating Identity Essentialism in LLM Agents with Longitudinal Life Trajectories
- Be.FM: Open Foundation Models for Human Behavior
Related papers
- Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
- Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
- Subliminal Steering: Stronger Encoding of Hidden Signals
- MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
- The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
- Untangling the Mechanisms of Misleading Context in Medical Question Answering