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403 篇论文 · 按点赞排序
Zhengqi Li, Richard Tucker, Noah Snavely +1 authors
A frequency-coordinated diffusion sampling process is used to predict long-term motion representations for still images, enabling dynamic video creation and interactive scene manipulation.
Chi Zhang, Zhao Yang, Jiaxuan Liu +5 authors
A novel LLM-based multimodal agent learns to operate smartphone apps through autonomous exploration or imitation, demonstrating proficiency across diverse tasks.
Shouyuan Chen, Sherman Wong, Liangjian Chen +1 authors
Position Interpolation extends the context window of RoPE-based LLMs up to 32768 tokens with minimal fine-tuning, maintaining task performance and stability compared to extrapolation methods.
Eyal Segalis, Dani Valevski, Danny Lumen +2 authors
Relabeling a text-to-image dataset with a specialized automatic captioning model improves image quality and semantic alignment in diffusion models.
Harrison Lee, Samrat Phatale, Hassan Mansoor +5 authors
Reinforcement learning from AI feedback (RLAIF) achieves similar performance to reinforcement learning from human feedback (RLHF) in aligning large language models with human preferences, offering a scalable alternative.
Qingyan Guo, Rui Wang, Junliang Guo +6 authors
EvoPrompt, a framework using evolutionary algorithms, automates prompt optimization for large language models, achieving better performance than human-engineered prompts.
Jaeyoung Chung, Suyoung Lee, Hyeongjin Nam +2 authors
LucidDreamer generates domain-free 3D scenes using diffusion-based generative models and Gaussian splats, producing highly detailed results.
Yicong Hong, Kai Zhang, Jiuxiang Gu +7 authors
A Large Reconstruction Model using a transformer-based architecture predicts 3D neural radiance fields from single images using massive multi-view training data.
Shilong Liu, Hao Cheng, Haotian Liu +10 authors
LLaVA-Plus, a general-purpose multimodal assistant, enhances large multimodal models by integrating pre-trained vision and vision-language models, performing tool-assisted tasks and improving interaction through direct image grounding.
Nataniel Ruiz, Yuanzhen Li, Varun Jampani +6 authors
HyperDreamBooth leverages hypernetworks for efficient personalized face generation, significantly speeding up the process and reducing model size compared to existing methods.
Jean Kaddour, Joshua Harris, Maximilian Mozes +3 authors
Large Language Models (LLMs) went from non-existent to ubiquitous in the machine learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify the remaining challenges and already fruitful application areas. In this paper, we aim to establish a systematic set of open problems and application successes so that ML researchers can comprehend the field's current state more quickly and become productive.
Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar +3 authors
Orca, a 13-billion parameter model, enhances small models by imitating the reasoning process from large foundation models using rich signals and diverse data, surpassing existing models in complex reasoning benchmarks.
Gemini Team, Rohan Anil, Sebastian Borgeaud +939 authors
Gemini, a family of multimodal models, achieves state-of-the-art performance across various benchmarks, including human-expert performance on MMLU, through advanced cross-modal reasoning and language understanding.
Li Chen, Mengyi Zhao, Yiheng Liu +8 authors
PhotoVerse uses a dual-branch conditioning mechanism and facial identity loss to generate high-quality, identity-preserving images efficiently with minimal tuning.
Zhaojian Yu, Xin Zhang, Ning Shang +5 authors
A Generator-Discriminator framework using LLMs generates high-quality instruction data, enhancing the fine-tuning of code-related tasks and model generalization.
Bram Wallace, Meihua Dang, Rafael Rafailov +7 authors
A method called Diffusion-DPO aligns text-to-image diffusion models to human preferences using direct optimization on comparison data, improving visual appeal and prompt alignment.
Liangyu Zha, Junlin Zhou, Liyao Li +22 authors
TableGPT, a fine-tuned language model with global tabular representations, enables seamless interaction and complex operations on tables via natural language and functional commands.
Jiaxiang Tang, Jiawei Ren, Hang Zhou +2 authors
DreamGaussian is a 3D content generation framework that combines generative Gaussian splatting with mesh extraction and texture refinement for high efficiency and quality.
Sarah Gao, Andrew Kean Gao
A tool called Constellation clusters and visualizes large language models uploaded to Hugging Face using hierarchical clustering and n-gram analysis.
Julian D. Parker, Janne Spijkervet, Katerina Kosta +6 authors
A transformer-based, non-autoregressive model generates musically coherent audio by responding to context, achieving audio quality comparable to text-conditioned models.
Hugo Laurençon, Lucile Saulnier, Léo Tronchon +9 authors
The OBELICS dataset, containing interleaved image-text documents, is introduced and used to train competitive multimodal models.
Wojciech Zielonka, Timur Bagautdinov, Shunsuke Saito +3 authors
A new 3D controllable avatar model uses Gaussian splats for photorealistic rendering in real-time, employing cage deformations driven by joint angles and keypoints, outperforming existing methods.
Dan Kondratyuk, Lijun Yu, Xiuye Gu +28 authors
VideoPoet is a language model that synthesizes high-quality video and audio from diverse inputs using a transformer architecture, showcasing superior zero-shot video generation capabilities.
Viraj Shah, Nataniel Ruiz, Forrester Cole +4 authors
ZipLoRA effectively combines independently trained style and subject LoRAs to enhance both subject and style fidelity in generative models.
Ming Li, Pan Zhou, Jia-Wei Liu +4 authors
A framework named Instant3D generates 3D objects from text prompts in under one second using a novel network and adaptive algorithms to enhance efficiency and quality.
Yanwu Xu, Yang Zhao, Zhisheng Xiao +1 authors
UFOGen, a hybrid diffusion-GAN model, achieves efficient one-step text-to-image synthesis at high quality.
Yixin Song, Zeyu Mi, Haotong Xie +1 authors
PowerInfer, a high-speed LLM inference engine for personal computers, enhances efficiency using hotspot neuron analysis, GPU-CPU hybrid computation, adaptive predictors, and neuron-aware sparse operators, achieving performance close to server-grade GPUs.
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang +2 authors
Matryoshka Diffusion Models use a NestedUNet architecture for joint denoising at multiple resolutions, enabling efficient high-resolution image and video synthesis.
Zhewei Yao, Reza Yazdani Aminabadi, Olatunji Ruwase +16 authors
DeepSpeed-Chat introduces an efficient and accessible RLHF training pipeline for large-scale ChatGPT-like models, enabling rapid and cost-effective training.
Yuhui Xu, Lingxi Xie, Xiaotao Gu +6 authors
QA-LoRA algorithm reduces computational requirements for large language models by quantizing weights during fine-tuning and integrating auxiliary weights post-training.
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