8 citations · 20 across the 15 of their papers we have counts for
4 papers · 1 filter
Towards A Unified View of Answer Calibration for Multi-Step Reasoning
Shumin Deng, Ningyu Zhang, Nay Oo +1
Large Language Models (LLMs) employing Chain-of-Thought (CoT) prompting have broadened the scope for improving multi-step reasoning capabilities. We generally divide multi-step rea…
Multimodal Graph Learning for Generative Tasks
Minji Yoon, Jing Yu Koh, Bryan Hooi +1
Multimodal learning combines multiple data modalities, broadening the types and complexity of data our models can utilize: for example, from plain text to image-caption pairs. Most…
Prompt-Based Zero- and Few-Shot Node Classification: A Multimodal Approach
Yuexin Li, Bryan Hooi
Multimodal data empowers machine learning models to better understand the world from various perspectives. In this work, we study the combination of \emph{text and graph} modalitie…
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres
Shumin Deng, Shengyu Mao, Ningyu Zhang +1
Event-centric structured prediction involves predicting structured outputs of events. In most NLP cases, event structures are complex with manifold dependency, and it is challengin…