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Kaiming Yang

2 accepted papers

2026

AdaHC: Accelerating Multi-Token Prediction with Adaptive Head Chunking with Pipeline Parallelism

ICML 2026poster

Multi-token prediction (MTP) architecture is widely adopted in LLMs. MTP blocks can be appended to the tail of model to predict additional tokens. However, when training with pipeline parallel, MTP leads to more pipeline bubbles and deteriorates the pipeline efficiency. Based on in-depth analysis of…

Cited by 0SourceScholar
2025

Graph-Driven Insights: Enhancing Stock Market Prediction with Relational Temporal Dynamics

ICASSP 2025accepted

This paper proposes a novel approach to predicting stock returns based on Relational Temporal Graph Neural Networks (RTGNN). This method provides insights into the dynamic and asymmetric relationships that exist both among different stocks and within individual stocks over time, addressing the limit…

Cited by 0SourceScholar