From the 1 of 8 linked papers with an AI index.
1 citations · 1 across the 5 of their papers we have counts for
8 papers
CaIRec: Calibrated Modality Imputation for Incomplete Multimodal Recommendation
Ruiyu Liu, Xiaohao Liu, Miaomiao Cai +2
The paper introduces CaIRec, a two-stage method that fills in missing image or text features for items in multimodal recommender systems while ensuring the recovered modalities are…
ForecastAgentSearch: Towards a Multi-Expert Agent Search System for Geopolitical Event Forecasting
Miaomiao Cai, He Chang, Yunshan Ma +1
Geopolitical event forecasting is a challenging task, as it requires understanding complex regional contexts, dynamic event signals, and uncertain future outcomes. Recent advances…
Multimodal Mathematical Reasoning with Diverse Solving Perspective
Wenhao Shi, Zhiqiang Hu, Yi Bin +4
Recent progress in large-scale reinforcement learning (RL) has notably enhanced the reasoning capabilities of large language models (LLMs), especially in mathematical domains. Howe…
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives
Thong Nguyen, Yi Bin, Junbin Xiao +6
Humans use multiple senses to comprehend the environment. Vision and language are two of the most vital senses since they allow us to easily communicate our thoughts and perceive t…
Multi-Scale Contrastive Learning for Video Temporal Grounding
Thong Thanh Nguyen, Yi Bin, Xiaobao Wu +4
Temporal grounding, which localizes video moments related to a natural language query, is a core problem of vision-language learning and video understanding. To encode video moment…
ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting
Haoxuan Li, He Chang, Yunshan Ma +4
Event forecasting is inherently influenced by multifaceted considerations, including international relations, regional historical dynamics, and cultural contexts. However, existing…