2 papers
cs.CL2025
MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG
Woosang Lim, Zekun Li, Gyuwan Kim +6
Long-context large language models (LC LLMs) combined with retrieval-augmented generation (RAG) hold strong potential for complex multi-hop and large-document tasks. However, exist…
cs.CL2025
MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding
Zekun Li, Xianjun Yang, Kyuri Choi +11
Scientific figure interpretation is a crucial capability for AI-driven scientific assistants built on advanced Large Vision Language Models. However, current datasets and benchmark…