7 citations · 9 across the 6 of their papers we have counts for
6 papers
IntBMoE: Integrating Block-Level Conditioning into Expert Composition for Full-Participation Mixture-of-Experts
Ran Cheng, Longfei Xu, Zheng Liu +2
Mixture-of-Experts (MoE) scales capacity, but existing designs cannot set three quantities independently. For a single token, participation is how many experts contribute knowledge…
IntSR: An Integrated Generative Framework for Search and Recommendation
Huimin Yan, Longfei Xu, Junjie Sun +6
Generative recommendation has emerged as a promising paradigm, demonstrating remarkable results in both academic benchmarks and industrial applications. However, existing systems p…
Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos
Teng Wang, Jinrui Zhang, Feng Zheng +3
Joint video-language learning has received increasing attention in recent years. However, existing works mainly focus on single or multiple trimmed video clips (events), which make…
Exploiting Context Information for Generic Event Boundary Captioning
Jinrui Zhang, Teng Wang, Feng Zheng +2
Generic Event Boundary Captioning (GEBC) aims to generate three sentences describing the status change for a given time boundary. Previous methods only process the information of a…
R4: A Framework for Route Representation and Route Recommendation
Ran Cheng, Chao Chen, Longfei Xu +5
Route recommendation is significant in navigation service. Two major challenges for route recommendation are route representation and user representation. Different from items that…
Revisiting Self-Training for Few-Shot Learning of Language Model
Yiming Chen, Yan Zhang, Chen Zhang +3
As unlabeled data carry rich task-relevant information, they are proven useful for few-shot learning of language model. The question is how to effectively make use of such data. In…