作者尝试在一些常见任务中量化 NExT-GPT 在基准数据集上的生成质量,包括Text → X 生成、X → Text生成和文本条件模态编辑等任务。 3.1 Text → X Generation 表3、表 4 和表 5 展示了NExT-GPT与一些最先进的模型之间的比较,总体而言,NExT-GPT 显示出与SOTA模型相当的良好性能。 3.2 X → Text Generation ...
SORA:Video generation models as world simulators Gemini V1.5:https://storage.googleapis.com/ BLIP2:BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models GPT-4V:GPT-4 Technical Report LLaVa:Visual Instruction Tuning KOSMOS-2:KOSMOS-2: Grounding Mu...
This special issue of ACM ToMM focuses on 'Deep Multimodal Generation and Retrieval'with the objective of advancing the field by uniting researchers and practitioners, fostering collaboration.It aims to promote the exchange of...
Issues for corpus-based multimodal generation - Foster - 2007 () Citation Context ...ssembly for sentence generation based on a language corpus. Recent studies in usage-based linguistics (Tomasello, 2003; Tummers et al., 2005) and corpus-based language processing (Biber et al., 1998; =-=...
专家成员 杨易 浙江大学特聘教授、悉尼科技大学教授 唐杰 清华大学计算机科学与技术系教授 陈文光 清华大学计算机科学与技术系教授 翟季冬 清华大学计算机科学与技术系副教授 刘淇 中国科学技术大学计算机学院特任教授 刘偲 北京航空航天大学计算机科学与技术学院教授 ...
MUGE(牧歌,Multimodal Understanding and Generation Evaluation)是业界首个大规模中文多模态评测基准,由达摩院联合浙江大学、阿里云天池平台联合发布,中国计算机学会计算机视觉专委会(CCF-CV专委)协助推出。目前包括: · 包含多模态理解与生成任务在内的多模态评测基准,其中包括图像描述、图文检索以及基于文本的图像生成。未...
Despite progress in immunotherapy, identifying patients that respond has remained a challenge. Through analysis of whole-exome and targeted sequence data from 5,449 tumors, we found a significant correlation between tumor mutation burden (TMB) and tumor
This paper develops a theoretical model of determinants influencing multimodal fake review generation using the theories of signaling, actor-network, motivation, and human–environment interaction hypothesis. Applying survey data from users of China’s t
🔥🔥🔥MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs [🍎 Project Page] [📖 arXiv Paper] Jointly introduced byMME,MMBench, andLLaVAteams. ✨ 🔥🔥🔥Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis ...
6.1 Any-to-any Multimodal Generation and 6.2 Example Demonstrations 7 Conclusion and References 7 Conclusion In this work, we present an end-to-end general-purpose any-to-any multimodal Large Language Model (MM-LLM). By connecting an LLM with multimodal adaptors and different diffusion decoders,...