2 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 2 cited
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA
Chengen Lai, Shengli Song, Shiqi Meng +3
Natural language explanation in visual question answer (VQA-NLE) aims to explain the decision-making process of models by generating natural language sentences to increase users' t…
cs.IR2018★ 2 cited
LCMR: Local and Centralized Memories for Collaborative Filtering with Unstructured Text
Guangneng Hu, Yu Zhang, Qiang Yang
Collaborative filtering (CF) is the key technique for recommender systems. Pure CF approaches exploit the user-item interaction data (e.g., clicks, likes, and views) only and suffe…