University Of California San Diego: Research Institution — Prolific Citations Library

Browse 5 peer-reviewed papers from University Of California San Diego spanning Turing Test, Video Generation (2023–2025). Research powered by Prolific's high-quality participant data.

This page lists 5 peer-reviewed papers from researchers at University Of California San Diego in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (5 of 5)

One-Minute Video Generation with Test-Time Training

Authors: K Dalal, D Koceja, G Hussein, J Xu, Y Zhao, Y Song, S Han, KC Cheung, J Kautz, C Guestrin, T Hashimoto, S Koyejo, Y Choi, Y Sun, X Wang

Year: 2025

Published in: ArXiv

Institution: Nvidia, Stanford University, UT Austin, University of California Berkeley, University of California San Diego

Research Area: Video Generation, Diffusion Models, Test-Time Training

Discipline: Computer Science

The paper introduces Test-Time Training (TTT) layers into Transformers to generate coherent one-minute videos from text storyboards, outperforming baselines in storytelling coherence but facing efficiency and artifact challenges.

Methods: Experimentation with Test-Time Training layers embedded in pre-trained Transformer models, evaluated using a dataset curated from Tom and Jerry cartoons and compared against Mamba 2, Gated DeltaNet, and sliding-window attention layers.

Key Findings: Effectiveness of video generation methods in creating coherent multi-scene stories in one-minute videos.

Citations: 52

Sample Size: 100
Large Language Models Pass the Turing Test

Authors: Cameron R. Jones, Benjamin K. Bergen

Year: 2025

Published in: ArXiv

Institution: University of California San Diego

Research Area: Artificial Intelligence, Computational Linguistics, Turing Test, AI Evaluation

Discipline: Artificial Intelligence

GPT-4.5 passed the Turing Test by being misidentified as human 73% of the time, surpassing real humans and other models, marking the first conclusive evidence of an AI achieving this standard.

Methods: Randomised, controlled, pre-registered Turing Test where 5-minute conversations were conducted between human participants and AI systems, followed by judgments on which partner was human.

Key Findings: The ability of AI systems (ELIZA, GPT-4o, LLaMa-3.1-405B, GPT-4.5) to mimic human conversational behavior and be perceived as human.
People cannot distinguish GPT-4 from a human in a Turing test

Authors: C Jones, B Bergen

Year: 2024

Published in: ArXiv

Institution: University of California San Diego

Research Area: Turing Test, LLM Evaluation, Cognitive Science of AI

Discipline: Artificial Intelligence, Cognitive Science, Human-Computer Interaction (HCI)
Essays in Behavioral and Experimental Economics

Authors: N Gupta

Year: 2023

Published in: 2023 - search.proquest.com

Institution: University of California San Diego

Research Area: Behavioral and Experimental Economics, Dynamic Decision Environments

Discipline: Behavioral Economics

Citations: 1
Peer attention enhances student learning

Authors: Songlin Xu, Dongyin Hu, Ru Wang, Xinyu Zhang

Year: 2023

Published in: ArXiv

Institution: University of California San Diego, University of Pennsylvania, University of Wisconsin–Madison

Research Area: Social Influence on Attention in Education, Peer Effects in Learning, Human Visual Attention

Discipline: Educational Technology, AI in Education