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.CV2024
Expand VSR Benchmark for VLLM to Expertize in Spatial Rules
Peijin Xie, Lin Sun, Bingquan Liu +4
Distinguishing spatial relations is a basic part of human cognition which requires fine-grained perception on cross-instance. Although benchmarks like MME, MMBench and SEED compreh…
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…