3 citations · 4 across the 6 of their papers we have counts for
6 papers
On Data Synthesis and Post-training for Visual Abstract Reasoning
Ke Zhu, Yu Wang, Jiangjiang Liu +3
This paper is a pioneering work attempting to address abstract visual reasoning (AVR) problems for large vision-language models (VLMs). We make a common LLaVA-NeXT 7B model capable…
Continual SFT Matches Multimodal RLHF with Negative Supervision
Ke Zhu, Yu Wang, Yanpeng Sun +4
Multimodal RLHF usually happens after supervised finetuning (SFT) stage to continually improve vision-language models' (VLMs) comprehension. Conventional wisdom holds its superiori…
Theorem-Validated Reverse Chain-of-Thought Problem Generation for Geometric Reasoning
Linger Deng, Linghao Zhu, Yuliang Liu +6
Large Multimodal Models (LMMs) face limitations in geometric reasoning due to insufficient Chain of Thought (CoT) image-text training data. While existing approaches leverage templ…
LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction
Penghui Du, Yu Wang, Yifan Sun +7
Existing methods enhance open-vocabulary object detection by leveraging the robust open-vocabulary recognition capabilities of Vision-Language Models (VLMs), such as CLIP.However,…
OVLW-DETR: Open-Vocabulary Light-Weighted Detection Transformer
Yu Wang, Xiangbo Su, Qiang Chen +6
Open-vocabulary object detection focusing on detecting novel categories guided by natural language. In this report, we propose Open-Vocabulary Light-Weighted Detection Transformer…
KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling
Yu Wang, Xin Li, Shengzhao Weng +5
DETR is a novel end-to-end transformer architecture object detector, which significantly outperforms classic detectors when scaling up. In this paper, we focus on the compression o…