13 citations · 26 across the 5 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.CV2024★ 3 cited
Learning to Correction: Explainable Feedback Generation for Visual Commonsense Reasoning Distractor
Jiali Chen, Xusen Hei, Yuqi Xue +4
Large multimodal models (LMMs) have shown remarkable performance in the visual commonsense reasoning (VCR) task, which aims to answer a multiple-choice question based on visual com…
cs.IR2024★ 13 cited
Efficient and Robust Regularized Federated Recommendation
Langming Liu, Wanyu Wang, Xiangyu Zhao +9
Recommender systems play a pivotal role across practical scenarios, showcasing remarkable capabilities in user preference modeling. However, the centralized learning paradigm predo…
cs.MM2024★ 1 cited
Multimodal LLM-based Query Paraphrasing for Video Search
Jiaxin Wu, Chong-Wah Ngo, Wing-Kwong Chan +3
Text-to-video retrieval answers user queries through searches based on concepts and embeddings. However, due to limitations in the size of the concept bank and the amount of traini…