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AI研究論文每日精選

每日精選AI研究論文及翻譯

深度任意 V2
Depth Anything V2

Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao•Jun 13, 2024•10314

一張圖像價值超過16x16塊:探索Transformer在個別像素上的應用
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

Duy-Kien Nguyen, Mahmoud Assran, Unnat Jain, Martin R. Oswald, Cees G. M. Snoek, Xinlei Chen•Jun 13, 2024•522

Transformer遇上神經演算推理器
Transformers meet Neural Algorithmic Reasoners

Wilfried Bounsi, Borja Ibarz, Andrew Dudzik, Jessica B. Hamrick, Larisa Markeeva, Alex Vitvitskyi, Razvan Pascanu, Petar Veličković•Jun 13, 2024•451

OpenVLA:一個開源的視覺-語言-行動模型
OpenVLA: An Open-Source Vision-Language-Action Model

Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan Foster, Grace Lam, Pannag Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn•Jun 13, 2024•401

Samba:用於高效無限上下文語言建模的簡單混合狀態空間模型
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Liliang Ren, Yang Liu, Yadong Lu, Yelong Shen, Chen Liang, Weizhu Chen•Jun 11, 2024•394

透過多解析度擴散模型減輕影像生成中的失真
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models

Qihao Liu, Zhanpeng Zeng, Ju He, Qihang Yu, Xiaohui Shen, Liang-Chieh Chen•Jun 13, 2024•301

時間考驗:評估語言模型在時間推理上的基準
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning

Bahare Fatemi, Mehran Kazemi, Anton Tsitsulin, Karishma Malkan, Jinyeong Yim, John Palowitch, Sungyong Seo, Jonathan Halcrow, Bryan Perozzi•Jun 13, 2024•281

DiTFastAttn:擴散變壓器模型的注意力壓縮
DiTFastAttn: Attention Compression for Diffusion Transformer Models

Zhihang Yuan, Pu Lu, Hanling Zhang, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang•Jun 12, 2024•261

視覺速寫板:對於多模式語言模型而言,速寫是一種視覺思維鏈。
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models

Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A Smith, Ranjay Krishna•Jun 13, 2024•221

解釋定制擴散模型的權重空間
Interpreting the Weight Space of Customized Diffusion Models

Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A. Efros, Kfir Aberman•Jun 13, 2024•201

MuirBench:一個全面的基準測試,用於強健的多圖像理解
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding

Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen•Jun 13, 2024•202

HelpSteer2:用於訓練表現優異的獎勵模型的開源數據集
HelpSteer2: Open-source dataset for training top-performing reward models

Zhilin Wang, Yi Dong, Olivier Delalleau, Jiaqi Zeng, Gerald Shen, Daniel Egert, Jimmy J. Zhang, Makesh Narsimhan Sreedhar, Oleksii Kuchaiev•Jun 12, 2024•193

mOSCAR:一個大規模多語言和多模態的文件級語料庫
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus

Matthieu Futeral, Armel Zebaze, Pedro Ortiz Suarez, Julien Abadji, Rémi Lacroix, Cordelia Schmid, Rachel Bawden, Benoît Sagot•Jun 13, 2024•164

CS-Bench:針對大型語言模型的全面基準,以實現對計算機科學的掌握。
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery

Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma GongQue, Jianing Yu, Qiuna Tan, Weiran Xu•Jun 12, 2024•164

4M-21:一個適用於數十個任務和模態的任意到任意視覺模型
4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities

Roman Bachmann, Oğuzhan Fatih Kar, David Mizrahi, Ali Garjani, Mingfei Gao, David Griffiths, Jiaming Hu, Afshin Dehghan, Amir Zamir•Jun 13, 2024•152

EMMA:您的文本到圖像擴散模型可以秘密接受多模態提示
EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts

Yucheng Han, Rui Wang, Chi Zhang, Juntao Hu, Pei Cheng, Bin Fu, Hanwang Zhang•Jun 13, 2024•143

探索在大規模下的全模態預訓練的極限
Explore the Limits of Omni-modal Pretraining at Scale

Yiyuan Zhang, Handong Li, Jing Liu, Xiangyu Yue•Jun 13, 2024•113

基於認知啟發的能量基世界模型
Cognitively Inspired Energy-Based World Models

Alexi Gladstone, Ganesh Nanduru, Md Mofijul Islam, Aman Chadha, Jundong Li, Tariq Iqbal•Jun 13, 2024•107

Mistral-C2F:粗到細的演算法,用於增強RLHF中的分析和推理,以及有效合併的LLM
Mistral-C2F: Coarse to Fine Actor for Analytical and Reasoning Enhancement in RLHF and Effective-Merged LLMs

Chen Zheng, Ke Sun, Xun Zhou•Jun 12, 2024•102

常識-T2I挑戰:文字轉圖像生成模型能理解常識嗎?
Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Xingyu Fu, Muyu He, Yujie Lu, William Yang Wang, Dan Roth•Jun 11, 2024•91

TC-Bench:在文本到視頻和圖像到視頻生成中對時間組成性進行基準測試
TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation

Weixi Feng, Jiachen Li, Michael Saxon, Tsu-jui Fu, Wenhu Chen, William Yang Wang•Jun 12, 2024•81

Real3D:利用真實世界影像擴展大型重建模型
Real3D: Scaling Up Large Reconstruction Models with Real-World Images

Hanwen Jiang, Qixing Huang, Georgios Pavlakos•Jun 12, 2024•71

估計生成式人工智慧的幻覺率
Estimating the Hallucination Rate of Generative AI

Andrew Jesson, Nicolas Beltran-Velez, Quentin Chu, Sweta Karlekar, Jannik Kossen, Yarin Gal, John P. Cunningham, David Blei•Jun 11, 2024•71

MLKV:多層鍵值頭用於記憶效率高的Transformer解碼
MLKV: Multi-Layer Key-Value Heads for Memory Efficient Transformer Decoding

Zayd Muhammad Kawakibi Zuhri, Muhammad Farid Adilazuarda, Ayu Purwarianti, Alham Fikri Aji•Jun 13, 2024•62

語言模型委員會:通過共識對高度主觀任務的基礎模型進行基準測試
Language Model Council: Benchmarking Foundation Models on Highly Subjective Tasks by Consensus

Justin Zhao, Flor Miriam Plaza-del-Arco, Amanda Cercas Curry•Jun 12, 2024•61

CVQA:具有文化多樣性的多語言視覺問答基準。
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark

David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, Teresa Lynn, Injy Hamed, Aditya Nanda Kishore, Aishik Mandal, Alina Dragonetti, Artem Abzaliev, Atnafu Lambebo Tonja, Bontu Fufa Balcha, Chenxi Whitehouse, Christian Salamea, Dan John Velasco, David Ifeoluwa Adelani, David Le Meur, Emilio Villa-Cueva, Fajri Koto, Fauzan Farooqui, Frederico Belcavello, Ganzorig Batnasan, Gisela Vallejo, Grainne Caulfield, Guido Ivetta, Haiyue Song, Henok Biadglign Ademtew, Hernán Maina, Holy Lovenia, Israel Abebe Azime, Jan Christian Blaise Cruz, Jay Gala, Jiahui Geng, Jesus-German Ortiz-Barajas, Jinheon Baek, Jocelyn Dunstan, Laura Alonso Alemany, Kumaranage Ravindu Yasas Nagasinghe, Luciana Benotti, Luis Fernando D'Haro, Marcelo Viridiano, Marcos Estecha-Garitagoitia, Maria Camila Buitrago Cabrera, Mario Rodríguez-Cantelar, Mélanie Jouitteau, Mihail Mihaylov, Mohamed Fazli Mohamed Imam, Muhammad Farid Adilazuarda, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Naome Etori, Olivier Niyomugisha, Paula Mónica Silva, Pranjal Chitale, Raj Dabre, Rendi Chevi, Ruochen Zhang, Ryandito Diandaru, Samuel Cahyawijaya, Santiago Góngora, Soyeong Jeong, Sukannya Purkayastha, Tatsuki Kuribayashi, Thanmay Jayakumar, Tiago Timponi Torrent, Toqeer Ehsan, Vladimir Araujo, Yova Kementchedjhieva, Zara Burzo, Zheng Wei Lim, Zheng Xin Yong, Oana Ignat, Joan Nwatu, Rada Mihalcea, Thamar Solorio, Alham Fikri Aji•Jun 10, 2024•61

LRM-Zero:使用合成資料訓練大型重建模型
LRM-Zero: Training Large Reconstruction Models with Synthesized Data

Desai Xie, Sai Bi, Zhixin Shu, Kai Zhang, Zexiang Xu, Yi Zhou, Sören Pirk, Arie Kaufman, Xin Sun, Hao Tan•Jun 13, 2024•51

通過模式插值來理解擴散模型中的幻覺
Understanding Hallucinations in Diffusion Models through Mode Interpolation

Sumukh K Aithal, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter•Jun 13, 2024•51

CMC-Bench:邁向視覺信號壓縮新範式
CMC-Bench: Towards a New Paradigm of Visual Signal Compression

Chunyi Li, Xiele Wu, Haoning Wu, Donghui Feng, Zicheng Zhang, Guo Lu, Xiongkuo Min, Xiaohong Liu, Guangtao Zhai, Weisi Lin•Jun 13, 2024•52

Toffee:主題驅動的文本到圖像生成的高效百萬規模數據集構建
Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation

Yufan Zhou, Ruiyi Zhang, Kaizhi Zheng, Nanxuan Zhao, Jiuxiang Gu, Zichao Wang, Xin Eric Wang, Tong Sun•Jun 13, 2024•52