2 papers
cs.CV2026
EmoTrans: A Benchmark for Understanding, Reasoning, and Predicting Emotion Transitions in Multimodal LLMs
He Hu, Tengjin Weng, Zebang Cheng +5
Recent multimodal large language models (MLLMs) have shown strong capabilities in perception, reasoning, and generation, and are increasingly used in applications such as social ro…
cs.CL2025
Advancements in Natural Language Processing: Exploring Transformer-Based Architectures for Text Understanding
Tianhao Wu, Yu Wang, Ngoc Quach
Natural Language Processing (NLP) has witnessed a transformative leap with the advent of transformer-based architectures, which have significantly enhanced the ability of machines…