4 papers
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…
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…
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…
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering
Weihe Zhai, Arkaitz Zubiaga
The fusion of language models (LMs) and knowledge graphs (KGs) is widely used in commonsense question answering, but generating faithful explanations remains challenging. Current m…