4 papers
Learning to Adapt SFT Data for Better Reasoning Generalization
Lisong Sun, Li Wang, Chen Zhang +4
Large language models (LLMs) have achieved remarkable progress, with post-training playing a crucial role in enhancing their reasoning capabilities. Among post-training paradigms,…
TAMTRL: Teacher-Aligned Reward Reshaping for Multi-Turn Reinforcement Learning in Long-Context Compression
Li Wang, Yandong Wang, Xin Yu +3
The rapid progress of large language models (LLMs) has led to remarkable performance gains across a wide range of tasks. However, when handling long documents that exceed the model…
Spatial-Temporal Transformer with Curriculum Learning for EEG-Based Emotion Recognition
Xuetao Lin, Tianhao Peng, Peihong Dai +2
EEG-based emotion recognition plays an important role in developing adaptive brain-computer communication systems, yet faces two fundamental challenges in practical implementations…
Milmer: a Framework for Multiple Instance Learning based Multimodal Emotion Recognition
Zaitian Wang, Jian He, Yu Liang +8
Emotions play a crucial role in human behavior and decision-making, making emotion recognition a key area of interest in human-computer interaction (HCI). This study addresses the…