6 citations · 7 across the 5 of their papers we have counts for
6 papers
Beyond Item IDs: Scaling Short-Form-Video Recommendation via Semantic-Native Long Sequence Modeling
Ruixiao Sun, Diego Uribe Mora, Zhimeng Jiang +7
Capturing user interests across extensive watch histories is critical for short-form video recommendation, yet scaling sequence length is limited by two bottlenecks: the semantic s…
PartDexTOG: Generating Dexterous Task-Oriented Grasping via Language-driven Part Analysis
Weishang Wu, Yifei Shi, Zhizhong Chen +1
Task-oriented grasping is a crucial yet challenging task in robotic manipulation. Despite the recent progress, few existing methods address task-oriented grasping with dexterous ha…
PoolRank: Max/Min Pooling-based Ranking Loss for Listwise Learning & Ranking Balance
Zhizhong Chen, Carsten Eickhoff
Numerous neural retrieval models have been proposed in recent years. These models learn to compute a ranking score between the given query and document. The majority of existing mo…
ExpertRank: A Multi-level Coarse-grained Expert-based Listwise Ranking Loss
Zhizhong Chen, Carsten Eickhoff
The goal of information retrieval is to recommend a list of document candidates that are most relevant to a given query. Listwise learning trains neural retrieval models by compari…
The Cross-Lingual Arabic Information REtrieval (CLAIRE) System
Zhizhong Chen, Carsten Eickhoff
Despite advances in neural machine translation, cross-lingual retrieval tasks in which queries and documents live in different natural language spaces remain challenging. Although…
Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector Spaces
Albert Webson, Zhizhong Chen, Carsten Eickhoff +1
In politics, neologisms are frequently invented for partisan objectives. For example, "undocumented workers" and "illegal aliens" refer to the same group of people (i.e., they have…