3 papers
cs.CL2026
Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation
Shun Qian, Bingquan Liu, Chengjie Sun +2
The recent advancements in Large Language Models (LLMs) have attracted interest in exploring their in-context learning abilities and chain-of-thought capabilities. However, there a…
cs.CV2025
TextlessRAG: End-to-End Visual Document RAG by Speech Without Text
Peijin Xie, Shun Qian, Bingquan Liu +3
Document images encapsulate a wealth of knowledge, while the portability of spoken queries enables broader and flexible application scenarios. Yet, no prior work has explored knowl…
cs.CV2024
Spatial-Aware Efficient Projector for MLLMs via Multi-Layer Feature Aggregation
Shun Qian, Bingquan Liu, Chengjie Sun +2
The projector plays a crucial role in multi-modal language models (MLLMs). The number of visual tokens it outputs affects the efficiency of the MLLM, while the quality of the visua…