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20222026
most citedKnowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs

8 citations · 17 across the 20 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CV2025

Spatial Reasoning in Foundation Models: Benchmarking Object-Centric Spatial Understanding

Vahid Mirjalili, Ramin Giahi, Sriram Kollipara +9

Spatial understanding is a critical capability for vision foundation models. While recent advances in large vision models or vision-language models (VLMs) have expanded recognition…

cs.CV2025

LayoutAgent: A Vision-Language Agent Guided Compositional Diffusion for Spatial Layout Planning

Zezhong Fan, Xiaohan Li, Luyi Ma +6

Designing realistic multi-object scenes requires not only generating images, but also planning spatial layouts that respect semantic relations and physical plausibility. On one han…

cs.LG2025

FUTURE: Flexible Unlearning for Tree Ensemble

Ziheng Chen, Jin Huang, Jiali Cheng +5

Tree ensembles are widely recognized for their effectiveness in classification tasks, achieving state-of-the-art performance across diverse domains, including bioinformatics, finan…

cs.IR2025

Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data

Lalitesh Morishetti, Abhay Kumar, Jonathan Scott +6

In this paper, we present a novel model architecture for optimizing personalized product search ranking using a multi-task learning (MTL) framework. Our approach uniquely integrate…

cs.CL2025

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization

Luyi Ma, Wanjia Zhang, Kai Zhao +15

Generative models have recently demonstrated strong potential in multi-behavior recommendation systems, leveraging the expressive power of transformers and tokenization to generate…

cs.LG2025

FROG: Fair Removal on Graphs

Ziheng Chen, Jiali Cheng, Hadi Amiri +5

With growing emphasis on privacy regulations, machine unlearning has become increasingly critical in real-world applications such as social networks and recommender systems, many o…