174 citations
- University of Southern CaliforniaUS33 papers
- California Southern UniversityUS31 papers
- Biomedical Research Institute of Southern CaliforniaUS4 papers
- Princeton UniversityUS4 papers
- Snap (United States)US3 papers
- Carnegie Mellon UniversityUS2 papers
- ETH ZurichCH2 papers
- London School of Economics and Political ScienceGB2 papers
- Microsoft (Germany)DE2 papers
- Microsoft (United States)US2 papers
- Stanford UniversityUS2 papers
- The University of SydneyAU2 papers
5 papers · 1 filter
Can Language Model Moderators Improve the Health of Online Discourse?
Hyundong Cho, Shuai Liu, Taiwei Shi +8
Conversational moderation of online communities is crucial to maintaining civility for a constructive environment, but it is challenging to scale and harmful to moderators. The inc…
Remember what you did so you know what to do next
Manuel R. Ciosici, Alex Hedges, Yash Kankanampati +3
We explore using a moderately sized large language model (GPT-J 6B parameters) to create a plan for a simulated robot to achieve 30 classes of goals in ScienceWorld, a text game si…
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation
Minzhi Li, Taiwei Shi, Caleb Ziems +4
Annotated data plays a critical role in Natural Language Processing (NLP) in training models and evaluating their performance. Given recent developments in Large Language Models (L…
Hamilton-Jacobi Reachability Analysis for Hybrid Systems with Controlled and Forced Transitions
Javier Borquez, Shuang Peng, Yiyu Chen +2
Hybrid dynamical systems with nonlinear dynamics are one of the most general modeling tools for representing robotic systems, especially contact-rich systems. However, providing gu…
DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
Diffusion models have established new state of the art in a multitude of computer vision tasks, including image restoration. Diffusion-based inverse problem solvers generate recons…