3 papers
econ.EM2026
FilterLoss: A Transfer Learning Approach for Communication Scene Recognition
Jiasong Han, Yufei Feng, Xiaofeng Zhong
Communication scene recognition has been widely applied in practice, but using deep learning to address this problem faces challenges such as insufficient data and imbalanced data…
cs.IR2026
OneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender
Zhaoqi Zhang, Haolei Pei, Jun Guo +5
In recommendation systems, scaling up feature-interaction modules (e.g., Wukong, RankMixer) or user-behavior sequence modules (e.g., LONGER) has achieved notable success. However,…
cs.CL2025
TTS-1 Technical Report
Oleg Atamanenko, Anna Chalova, Joseph Coombes +29
We introduce Inworld TTS-1, a set of two Transformer-based autoregressive text-to-speech (TTS) models. Our largest model, TTS-1-Max, has 8.8B parameters and is designed for utmost…