most citedReal or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation

Jiayue Liu, Zhongchao Yi, Zhengyang Zhou +4

Discovering regularities from spatiotemporal systems can benefit various scientific and social planning. Current spatiotemporal learners usually train an independent model from a s…

cs.CV2024

Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration

Haoze Sun, Wenbo Li, Jiayue Liu +7

Generalization has long been a central challenge in real-world image restoration. While recent diffusion-based restoration methods, which leverage generative priors from text-to-im…

cs.LG2024

FedDW: Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning

Jiayu Liu, Yong Wang, Nianbin Wang +2

Federated Learning (FL) is an innovative distributed machine learning paradigm that enables neural network training across devices without centralizing data. While this addresses i…

cs.CL2024

Locating the Leading Edge of Cultural Change

Sarah Griebel, Becca Cohen, Lucian Li +4

Measures of textual similarity and divergence are increasingly used to study cultural change. But which measures align, in practice, with social evidence about change? We apply thr…

cs.CL2024★ 2 cited

Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue

Jonathan Ivey, Shivani Kumar, Jiayu Liu +12

Studying and building datasets for dialogue tasks is both expensive and time-consuming due to the need to recruit, train, and collect data from study participants. In response, muc…