Trends · 研究趋势
数据来自 Hugging Face 论文的 AI 提取关键词,按月统计研究方向的增长与热度。
Xiaoyi Dong, Pan Zhang, Yuhang Zang +20 authors
InternLM-XComposer2, a vision-language model, excels in free-form text-image creation and understanding using Partial LoRA, surpassing existing models and matching GPT-4V and Gemini Pro in multimodal benchmarks.
Haoyu Lu, Wen Liu, Bo Zhang +11 authors
DeepSeek-VL is an open-source vision-language model that achieves state-of-the-art performance in real-world applications by combining a hybrid vision encoder with effective pretraining strategies to preserve language model capabilities.
Gilles Baechler, Srinivas Sunkara, Maria Wang +7 authors
ScreenAI, a vision-language model optimized with a flexible patching strategy, achieves state-of-the-art performance on UI and infographic tasks with 5B parameters.
Zican Hu, Xuyang Hu, Yiming Liu +10 authors
BRAID framework enables unified multi-modal reasoning by casting text-image interaction as a Markov decision process, allowing joint optimization through reinforcement learning with vision-language model guidance.
Navve Wasserman, Noam Rotstein, Roy Ganz +1 authors
A diffusion model is trained to add objects to images based on text descriptions using a large-scale dataset of images with removed objects, outperforming existing methods.
Suryaansh Jain, Rahasya Barkur, Vishal G +8 authors
SimLoss uses embedding-space contrastive supervision to enable single-pass fine-grained image captioning that matches multi-stage quality at much lower latency.
Rong Shan, Tianyi Xu, Congmin Zheng +9 authors
Image Bundle Composition reframes retrieval as dynamic assembly of relationally coherent image groups, with a benchmark and agentic framework addressing combinatorial joint relevance.
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