4 citations · 6 across the 8 of their papers we have counts for
3 papers · 1 filter
Twin-2K-500: A dataset for building digital twins of over 2,000 people based on their answers to over 500 questions
Olivier Toubia, George Z. Gui, Tianyi Peng +3
LLM-based digital twin simulation, where large language models are used to emulate individual human behavior, holds great promise for research in AI, social science, and digital ex…
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
Haoran Geng, Feishi Wang, Songlin Wei +34
Data scaling and standardized evaluation benchmarks have driven significant advances in natural language processing and computer vision. However, robotics faces unique challenges i…
LLM Generated Persona is a Promise with a Catch
Ang Li, Haozhe Chen, Hongseok Namkoong +1
The use of large language models (LLMs) to simulate human behavior has gained significant attention, particularly through personas that approximate individual characteristics. Pers…