12 papers
Avatar-Forever: Decoupled Parallel Training for High-Quality Real-Time Infinite Avatars
Ruibin Li, Tao Yang, Zhiyuan Ma +3
Existing streaming video systems often rely on sequential, distillation-centered training pipelines to enable few-step long-video generation. However, this paradigm suffers from tw…
A non-orderable overtwisted contact structure on the sphere
Jakob Hedicke
We show that the overtwisted contact structure on with Hopf invariant is non-orderable, i.e., that it admits a contractible positive loop of contactopmorphisms. This pro…
Do Recommendation Algorithms Work When Users Are LLM Agents? A Case Study on Moltbook
Daming Li, Simeng Han, Jialu Zhang
Large language model (LLM) agents are increasingly populating web platforms, raising a fundamental question for recommender systems: do algorithms designed for human users still wo…
Content Hidden Behind Execution: Analyzing Public Scratch Projects at Runtime
Yuan Si, Yufeng Lin, Daming Li +3
Public Scratch projects are reused in computing education as classroom examples, remix sources, open-exploration materials, and research data. Curation often begins with titles, th…
Attraction, Not Adaptation: How AI Agent Communities Develop Distinct Linguistic Identities
Daming Li, Simeng Han, Can Meng +2
When tens of thousands of autonomous AI agents interact in topical online forums, do they develop distinct community-specific linguistic identities? We study this question on Moltb…
An Industrial-Scale Sequential Recommender for LinkedIn Feed Ranking
Lars Hertel, Gaurav Srivastava, Syed Ali Naqvi +21
LinkedIn Feed enables professionals worldwide to discover relevant content, build connections, and share knowledge at scale. We present Feed Sequential Recommender (Feed SR), a tra…