3 citations · 4 across the 6 of their papers we have counts for
7 papers
SPIDER: Multi-Layer Semantic Token Pruning and Adaptive Sub-Layer Skipping in Multimodal Large Language Models
Tianxiang Chen, Zhentao Tan, Zi Ye +9
Multimodal Large Language Models face significant efficiency challenges that stem from two distinct yet coupled sources: data redundancy and computational redundancy. While most me…
Learning to Focus and Precise Cropping: A Reinforcement Learning Framework with Information Gaps and Grounding Loss for MLLMs
Xuanpu Zhao, Zhentao Tan, Dianmo Sheng +6
To enhance the perception and reasoning capabilities of multimodal large language models in complex visual scenes, recent research has introduced agent-based workflows. In these wo…
Flora: Effortless Context Construction to Arbitrary Length and Scale
Tianxiang Chen, Zhentao Tan, Xiaofan Bo +5
Effectively handling long contexts is challenging for Large Language Models (LLMs) due to the rarity of long texts, high computational demands, and substantial forgetting of short-…
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection
Tianxiang Chen, Zhentao Tan, Tao Gong +5
As a manner to augment pre-trained large language models (LLM), knowledge injection is critical to develop vertical domain large models and has been widely studied. Although most c…
MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection
Tianxiang Chen, Zi Ye, Zhentao Tan +6
Recently, infrared small target detection (ISTD) has made significant progress, thanks to the development of basic models. Specifically, the models combining CNNs with transformers…
Bootstrapping Audio-Visual Segmentation by Strengthening Audio Cues
Tianxiang Chen, Zhentao Tan, Tao Gong +6
How to effectively interact audio with vision has garnered considerable interest within the multi-modality research field. Recently, a novel audio-visual segmentation (AVS) task ha…
TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection
Tianxiang Chen, Zhentao Tan, Qi Chu +3
Infrared small target detection (ISTD) is critical to national security and has been extensively applied in military areas. ISTD aims to segment small target pixels from background…