Simulating Field Experiments with Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Yaoyu, Hu, Yuheng, Lu, Yingda |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Predicting Field Experiments with Large Language Models
by: Chen, Yaoyu, et al.
Published: (2025)
by: Chen, Yaoyu, et al.
Published: (2025)
Personalized Autonomous Driving with Large Language Models: Field Experiments
by: Cui, Can, et al.
Published: (2023)
by: Cui, Can, et al.
Published: (2023)
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
by: Lu, Yuheng, et al.
Published: (2024)
by: Lu, Yuheng, et al.
Published: (2024)
Text2World: Benchmarking Large Language Models for Symbolic World Model Generation
by: Hu, Mengkang, et al.
Published: (2025)
by: Hu, Mengkang, et al.
Published: (2025)
Experiments with Large Language Models on Retrieval-Augmented Generation for Closed-Source Simulation Software
by: Baumann, Andreas, et al.
Published: (2025)
by: Baumann, Andreas, et al.
Published: (2025)
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons
by: Wang, Yifei, et al.
Published: (2024)
by: Wang, Yifei, et al.
Published: (2024)
Hierarchical Orthogonal Residual Spread for Precise Massive Editing in Large Language Models
by: Gu, Xiaojie, et al.
Published: (2026)
by: Gu, Xiaojie, et al.
Published: (2026)
MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework
by: Mi, Qirui, et al.
Published: (2025)
by: Mi, Qirui, et al.
Published: (2025)
Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models
by: Chen, Yuheng, et al.
Published: (2024)
by: Chen, Yuheng, et al.
Published: (2024)
Large Language Models Do Not Simulate Human Psychology
by: Schröder, Sarah, et al.
Published: (2025)
by: Schröder, Sarah, et al.
Published: (2025)
CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models
by: Zhan, Yi, et al.
Published: (2025)
by: Zhan, Yi, et al.
Published: (2025)
EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities
by: Li, Nian, et al.
Published: (2023)
by: Li, Nian, et al.
Published: (2023)
Schema Matching with Large Language Models: an Experimental Study
by: Parciak, Marcel, et al.
Published: (2024)
by: Parciak, Marcel, et al.
Published: (2024)
OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling
by: Lu, Hongliang, et al.
Published: (2025)
by: Lu, Hongliang, et al.
Published: (2025)
Multi-Objective Large Language Model Unlearning
by: Pan, Zibin, et al.
Published: (2024)
by: Pan, Zibin, et al.
Published: (2024)
ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models
by: Zhou, Xiyuan, et al.
Published: (2024)
by: Zhou, Xiyuan, et al.
Published: (2024)
Neural Force Field: Few-shot Learning of Generalized Physical Reasoning
by: Li, Shiqian, et al.
Published: (2025)
by: Li, Shiqian, et al.
Published: (2025)
User Behavior Simulation with Large Language Model based Agents
by: Wang, Lei, et al.
Published: (2023)
by: Wang, Lei, et al.
Published: (2023)
What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models
by: Yun, Tian, et al.
Published: (2025)
by: Yun, Tian, et al.
Published: (2025)
Large Language Model-Assisted Superconducting Qubit Experiments
by: Li, Shiheng, et al.
Published: (2026)
by: Li, Shiheng, et al.
Published: (2026)
Software Model Evolution with Large Language Models: Experiments on Simulated, Public, and Industrial Datasets
by: Tinnes, Christof, et al.
Published: (2024)
by: Tinnes, Christof, et al.
Published: (2024)
Benchmarking Defeasible Reasoning with Large Language Models -- Initial Experiments and Future Directions
by: Tachmazidis, Ilias, et al.
Published: (2024)
by: Tachmazidis, Ilias, et al.
Published: (2024)
Aligning Large Language Models with Searcher Preferences
by: Wu, Wei, et al.
Published: (2026)
by: Wu, Wei, et al.
Published: (2026)
TRUSTVIS: A Multi-Dimensional Trustworthiness Evaluation Framework for Large Language Models
by: Sun, Ruoyu, et al.
Published: (2025)
by: Sun, Ruoyu, et al.
Published: (2025)
Enhancing Financial Question Answering with a Multi-Agent Reflection Framework
by: Fatemi, Sorouralsadat, et al.
Published: (2024)
by: Fatemi, Sorouralsadat, et al.
Published: (2024)
Game Generation via Large Language Models
by: Hu, Chengpeng, et al.
Published: (2024)
by: Hu, Chengpeng, et al.
Published: (2024)
Is Large Language Model Good at Database Knob Tuning? A Comprehensive Experimental Evaluation
by: Li, Yiyan, et al.
Published: (2024)
by: Li, Yiyan, et al.
Published: (2024)
On Diversified Preferences of Large Language Model Alignment
by: Zeng, Dun, et al.
Published: (2023)
by: Zeng, Dun, et al.
Published: (2023)
Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models
by: Wu, Yuheng, et al.
Published: (2025)
by: Wu, Yuheng, et al.
Published: (2025)
PreFlect: From Retrospective to Prospective Reflection in Large Language Model Agents
by: Wang, Hanyu, et al.
Published: (2026)
by: Wang, Hanyu, et al.
Published: (2026)
Exploring the Potential of Large Language Models to Simulate Personality
by: Molchanova, Maria, et al.
Published: (2025)
by: Molchanova, Maria, et al.
Published: (2025)
Towards Atoms of Large Language Models
by: Hu, Chenhui, et al.
Published: (2025)
by: Hu, Chenhui, et al.
Published: (2025)
Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models
by: Shi, Yuheng, et al.
Published: (2026)
by: Shi, Yuheng, et al.
Published: (2026)
Optimal Decision Making Through Scenario Simulations Using Large Language Models
by: Rasal, Sumedh, et al.
Published: (2024)
by: Rasal, Sumedh, et al.
Published: (2024)
Integrating Large Language Models For Monte Carlo Simulation of Chemical Reaction Networks
by: Gyawali, Sadikshya, et al.
Published: (2025)
by: Gyawali, Sadikshya, et al.
Published: (2025)
Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics Simulations
by: Dong, Zhehao, et al.
Published: (2025)
by: Dong, Zhehao, et al.
Published: (2025)
Experiments or Outcomes? Probing Scientific Feasibility in Large Language Models
by: Mohammadi, Seyedali, et al.
Published: (2026)
by: Mohammadi, Seyedali, et al.
Published: (2026)
Adversarial Attacks on Large Language Models in Medicine
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective
by: Ma, Qun, et al.
Published: (2024)
by: Ma, Qun, et al.
Published: (2024)
3D Building Generation in Minecraft via Large Language Models
by: Hu, Shiying, et al.
Published: (2024)
by: Hu, Shiying, et al.
Published: (2024)
Similar Items
-
Predicting Field Experiments with Large Language Models
by: Chen, Yaoyu, et al.
Published: (2025) -
Personalized Autonomous Driving with Large Language Models: Field Experiments
by: Cui, Can, et al.
Published: (2023) -
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
by: Lu, Yuheng, et al.
Published: (2024) -
Text2World: Benchmarking Large Language Models for Symbolic World Model Generation
by: Hu, Mengkang, et al.
Published: (2025) -
Experiments with Large Language Models on Retrieval-Augmented Generation for Closed-Source Simulation Software
by: Baumann, Andreas, et al.
Published: (2025)