39 citations · 62 across the 22 of their papers we have counts for
6 papers · 1 filter
SCENARIODIFF: A Scenario-level Guidance Framework for Multimodal Time Series Forecasting--Extended Version
Tuan-Binh Tran, Dat Nguyen Cong, Duc-Trong Le +2
Textual context such as news, reports, and logs can provide valuable signals for time series forecasting, especially when future dynamics are driven by external events that are not…
Counterfactual Understanding via Retrieval-aware Multimodal Modeling for Time-to-Event Survival Prediction
Ha-Anh Hoang Nguyen, Tri-Duc Phan Le, Duc-Hoang Pham +4
This paper tackles the problem of time-to-event counterfactual survival prediction, aiming to optimize individualized survival outcomes in the presence of heterogeneity and censore…
Divide and Refine: Enhancing Multimodal Representation and Explainability for Emotion Recognition in Conversation
Anh-Tuan Mai, Cam-Van Thi Nguyen, Duc-Trong Le
Multimodal emotion recognition in conversation (MERC) requires representations that effectively integrate signals from multiple modalities. These signals include modality-specific…
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition
Cam-Van Thi Nguyen, Cao-Bach Nguyen, Quang-Thuy Ha +1
Emotion recognition in conversation (ERC) is a crucial task in natural language processing and affective computing. This paper proposes MultiDAG+CL, a novel approach for Multimodal…
ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites
Duc-Trong Le, Xuan-Son Vu, Nhu-Dung To +8
This paper reports on the ReINTEL Shared Task for Responsible Information Identification on social network sites, which is hosted at the seventh annual workshop on Vietnamese Langu…
Reinforced Data Sampling for Model Diversification
Hoang D. Nguyen, Xuan-Son Vu, Quoc-Tuan Truong +1
With the rising number of machine learning competitions, the world has witnessed an exciting race for the best algorithms. However, the involved data selection process may fundamen…