AI研究論文每日精選

每日精選AI研究論文及翻譯

學習您的參考模型以實現良好的對齊。
Learn Your Reference Model for Real Good Alignment

Alexey Gorbatovski, Boris Shaposhnikov, Alexey Malakhov, Nikita Surnachev, Yaroslav Aksenov, Ian Maksimov, Nikita Balagansky, Daniil Gavrilov•Apr 15, 2024•870

Megalodon：具有無限上下文長度的高效LLM預訓練和推論
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

Xuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Lili Yu, Hao Zhang, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou•Apr 12, 2024•682

TransformerFAM：反饋注意力即工作記憶
TransformerFAM: Feedback attention is working memory

Dongseong Hwang, Weiran Wang, Zhuoyuan Huo, Khe Chai Sim, Pedro Moreno Mengibar•Apr 14, 2024•440

Video2Game：從單一影片中實時、互動、逼真且瀏覽器兼容的環境
Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video

Hongchi Xia, Zhi-Hao Lin, Wei-Chiu Ma, Shenlong Wang•Apr 15, 2024•312

壓縮線性地代表智能。
Compression Represents Intelligence Linearly

Yuzhen Huang, Jinghan Zhang, Zifei Shan, Junxian He•Apr 15, 2024•281

Ctrl-Adapter：一個高效且多才多藝的框架，用於將各種控制器適應到任何擴散模型。
Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model

Han Lin, Jaemin Cho, Abhay Zala, Mohit Bansal•Apr 15, 2024•220

HQ-Edit：一個用於基於指示的圖像編輯的高質量數據集
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing

Mude Hui, Siwei Yang, Bingchen Zhao, Yichun Shi, Heng Wang, Peng Wang, Yuyin Zhou, Cihang Xie•Apr 15, 2024•130

關於多模態大型語言模型的推測解碼
On Speculative Decoding for Multimodal Large Language Models

Mukul Gagrani, Raghavv Goel, Wonseok Jeon, Junyoung Park, Mingu Lee, Christopher Lott•Apr 13, 2024•132

Tango 2：透過直接偏好優化對齊基於擴散的文本轉語音生成
Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization

Navonil Majumder, Chia-Yu Hung, Deepanway Ghosal, Wei-Ning Hsu, Rada Mihalcea, Soujanya Poria•Apr 15, 2024•120

AI研究論文每日精選

學習您的參考模型以實現良好的對齊。
Learn Your Reference Model for Real Good Alignment

Megalodon：具有無限上下文長度的高效LLM預訓練和推論
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

TransformerFAM：反饋注意力即工作記憶
TransformerFAM: Feedback attention is working memory

Video2Game：從單一影片中實時、互動、逼真且瀏覽器兼容的環境
Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video

壓縮線性地代表智能。
Compression Represents Intelligence Linearly

Ctrl-Adapter：一個高效且多才多藝的框架，用於將各種控制器適應到任何擴散模型。
Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model

HQ-Edit：一個用於基於指示的圖像編輯的高質量數據集
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing

關於多模態大型語言模型的推測解碼
On Speculative Decoding for Multimodal Large Language Models

Tango 2：透過直接偏好優化對齊基於擴散的文本轉語音生成
Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization

TextHawk：探索多模式大型語言模型的高效細粒度感知
TextHawk: Exploring Efficient Fine-Grained Perception of Multimodal Large Language Models

馴服潛在擴散模型，用於神經輻射場修補
Taming Latent Diffusion Model for Neural Radiance Field Inpainting

CompGS：透過壓縮高斯點陣法有效地呈現3D場景
CompGS: Efficient 3D Scene Representation via Compressed Gaussian Splatting

Support

AI研究論文每日精選

學習您的參考模型以實現良好的對齊。
Learn Your Reference Model for Real Good Alignment

Megalodon：具有無限上下文長度的高效LLM預訓練和推論
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

TransformerFAM：反饋注意力即工作記憶
TransformerFAM: Feedback attention is working memory

Video2Game：從單一影片中實時、互動、逼真且瀏覽器兼容的環境
Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video

壓縮線性地代表智能。
Compression Represents Intelligence Linearly

Ctrl-Adapter：一個高效且多才多藝的框架，用於將各種控制器適應到任何擴散模型。
Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model

HQ-Edit：一個用於基於指示的圖像編輯的高質量數據集
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing

關於多模態大型語言模型的推測解碼
On Speculative Decoding for Multimodal Large Language Models

Tango 2：透過直接偏好優化對齊基於擴散的文本轉語音生成
Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization

TextHawk：探索多模式大型語言模型的高效細粒度感知
TextHawk: Exploring Efficient Fine-Grained Perception of Multimodal Large Language Models

馴服潛在擴散模型，用於神經輻射場修補
Taming Latent Diffusion Model for Neural Radiance Field Inpainting

CompGS：透過壓縮高斯點陣法有效地呈現3D場景
CompGS: Efficient 3D Scene Representation via Compressed Gaussian Splatting