3 accepted papers
The Transformer architecture has revolutionized various fields since it was proposed, where positional encoding plays an essential role in effectively capturing sequential order and context. Therefore, Rotary Positional Encoding (RoPE) was proposed to alleviate these issues, which integrates positio…
The interactive task of composed image retrieval aims to retrieve the most relevant images with the bi-modal query, consisting of a reference image and a modification sentence. Despite significant efforts to bridge the heterogeneous gap within the bi-modal query and leverage contrastive learning to…
Recent advances in large language model (LLM) fine‐tuning have shown that training data augmented with high-quality reasoning traces can remarkably improve downstream performance. However, existing approaches usually rely on expensive manual annotations or auxiliary models, and fail to address the u