Fetching the paper…
Reading the bibliography…
The remarkable zero-shot capabilities of Large Language Models (LLMs) have propelled natural language processing from task-specific models to unified, generalist foundation models.
Sight for sharp eyes
R. C. James · 1965
Earlier work this paper cites.
The intelligent eye, 1970
Richard Langton Gregory · 1970
Earlier work this paper cites.
ImageNet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
Structured forests for fast edge detection
Piotr Dollár and C. Lawrence Zitnick · 2013
Earlier work this paper cites.
Fast edge detection using structured forests
Piotr Dollár and C. Lawrence Zitnick · 2014
Earlier work this paper cites.
Edge boxes: Locating object proposals from edges
C. Lawrence Zitnick and Piotr Dollár · 2014
Earlier work this paper cites.
Holistically-nested edge detection
Saining Xie and Zhuowen Tu · 2015
Earlier work this paper cites.
Human-level concept learning through probabilistic program induction
Brenden M Lake, Ruslan Salakhutdinov, and Joshua B Tenenbaum · 2015
Earlier work this paper cites.
You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
Earlier work this paper cites.
Taskonomy: Disentangling task transfer learning
Amir R Zamir, Alexander Sax, William Shen, Leonidas J Guibas, Jitendra Malik, and Silvio Savarese · 2018
Earlier work this paper cites.
IntPhys: A framework and benchmark for visual intuitive physics reasoning
Ronan Riochet, Mario Ynocente Castro, Mathieu Bernard, Adam Lerer, Rob Fergus, Véronique Izard, and Emmanuel Dupoux · 2018
Earlier work this paper cites.
LVIS: A dataset for large vocabulary instance segmentation
Agrim Gupta, Piotr Dollar, and Ross Girshick · 2019
Earlier work this paper cites.
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A Wichmann, and Wieland Brendel · 2019
Earlier work this paper cites.
On the measure of intelligence
François Chollet · 2019
Earlier work this paper cites.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Earlier work this paper cites.
Dense extreme inception network: Towards a robust CNN model for edge detection
Xavier Soria, Edgar Riba, and Angel Sappa · 2020
Earlier work this paper cites.
Performance vs. competence in human–machine comparisons
Chaz Firestone · 2020
Earlier work this paper cites.
Shortcut learning in deep neural networks
Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard Zemel, Wieland Brendel, Matthias Bethge, and Felix A Wichmann · 2020
Earlier work this paper cites.
Physion: Evaluating physical prediction from vision in humans and machines, 2021
Daniel M. Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiao-Yu Fish Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin Smith, Fan-Yun Sun, Li Fei-Fei, Nancy Kanwisher, Joshua B. Tenenbaum, Daniel L. K. Yamins, and Judith E. Fan · 2021
Earlier work this paper cites.
Sparse gradient regularized deep retinex network for robust low-light image enhancement
Wenhan Yang, Wenjing Wang, Haofeng Huang, Shiqi Wang, and Jiaying Liu · 2021
Earlier work this paper cites.
A survey on in-context learning
Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Tianyu Liu, et al · 2022
Earlier work this paper cites.
Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa · 2022
Earlier work this paper cites.
Large language models are human-level prompt engineers
Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, and Jimmy Ba · 2022
Earlier work this paper cites.
Benchmarking progress to infant-level physical reasoning in ai
Luca Weihs, Amanda Yuile, Renée Baillargeon, Cynthia Fisher, Gary Marcus, Roozbeh Mottaghi, and Aniruddha Kembhavi · 2022
Earlier work this paper cites.
Peekaboo: Text to image diffusion models are zero-shot segmentors
Ryan Burgert, Kanchana Ranasinghe, Xiang Li, and Michael S Ryoo · 2022
Earlier work this paper cites.
Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou · 2022
Earlier work this paper cites.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
Earlier work this paper cites.
Multilingual machine translation with large language models: Empirical results and analysis
Wenhao Zhu, Hongyi Liu, Qingxiu Dong, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, and Lei Li · 2023
Earlier work this paper cites.
Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
Earlier work this paper cites.
Images speak in images: A generalist painter for in-context visual learning
Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, and Tiejun Huang · 2023
Earlier work this paper cites.
Dreamix: Video diffusion models are general video editors
Eyal Molad, Eliahu Horwitz, Dani Valevski, Alex Rav Acha, Yossi Matias, Yael Pritch, Yaniv Leviathan, and Yedid Hoshen · 2023
Cited alongside, same era.
Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig · 2023
Cited alongside, same era.
Serwan Jassim, Mario Holubar, Annika Richter, Cornelius Wolff, Xenia Ohmer, and Elia Bruni · 2023
Cited alongside, same era.
Text-to-image diffusion models are zero shot classifiers
Kevin Clark and Priyank Jaini · 2023
Cited alongside, same era.
Intriguing properties of generative classifiers
Priyank Jaini, Kevin Clark, and Robert Geirhos · 2023
Motion prompting: Controlling video generation with motion trajectories
Daniel Geng, Charles Herrmann, Junhwa Hur, Forrester Cole, Serena Zhang, Tobias Pfaff, Tatiana Lopez-Guevara, Carl Doersch, Yusuf Aytar, Michael Rubinstein, Chen Sun, Oliver Wang, Andrew Owens, and Deqing Sun · 2024
Later among the works it cites.
Gheorghe Comanici, Eric Bieber, Mike Schaekermann, Ice Pasupat, Noveen Sachdeva, Inderjit Dhillon, Marcel Blistein, Ori Ram, Dan Zhang, Evan Rosen, et al · 2025
Closest in time.
Agent laboratory: Using llm agents as research assistants
Samuel Schmidgall, Yusheng Su, Ze Wang, Ximeng Sun, Jialian Wu, Xiaodong Yu, Jiang Liu, Michael Moor, Zicheng Liu, and Emad Barsoum · 2025
Closest in time.
From generation to generalization: Emergent few-shot learning in video diffusion models
Pablo Acuaviva, Aram Davtyan, Mariam Hassan, Sebastian Stapf, Ahmad Rahimi, Alexandre Alahi, and Paolo Favaro · 2025
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Text2video-zero: Text-to-image diffusion models are zero-shot video generators
Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan, and Humphrey Shi · 2023
Cited alongside, same era.
Dense extreme inception network for edge detection
Xavier Soria, Angel Sappa, Patricio Humanante, and Arash Akbarinia · 2023
Cited alongside, same era.
Self-refine: Iterative refinement with self-feedback
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, et al · 2023
Cited alongside, same era.
Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, and Jianfeng Gao · 2023
Cited alongside, same era.
Objaverse-xl: A universe of 10m+ 3d objects
Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, et al · 2023
Cited alongside, same era.
A survey on large language models for code generation
Juyong Jiang, Fan Wang, Jiasi Shen, Sungju Kim, and Sunghun Kim · 2024
Cited alongside, same era.
Weaver: Foundation models for creative writing
Tiannan Wang, Jiamin Chen, Qingrui Jia, Shuai Wang, Ruoyu Fang, Huilin Wang, Zhaowei Gao, Chunzhao Xie, Chuou Xu, Jihong Dai, et al · 2024
Cited alongside, same era.
Closest in time.
Realgeneral: Unifying visual generation via temporal in-context learning with video models
Yijing Lin, Mengqi Huang, Shuhan Zhuang, and Zhendong Mao · 2025
Closest in time.
Visualcloze: A universal image generation framework via visual in-context learning
Zhong-Yu Li, Ruoyi Du, Juncheng Yan, Le Zhuo, Zhen Li, Peng Gao, Zhanyu Ma, and Ming-Ming Cheng · 2025
Closest in time.
Test-time visual in-context tuning
Jiahao Xie, Alessio Tonioni, Nathalie Rauschmayr, Federico Tombari, and Bernt Schiele · 2025
Closest in time.
Omnigen: Unified image generation
Shitao Xiao, Yueze Wang, Junjie Zhou, Huaying Yuan, Xingrun Xing, Ruiran Yan, Chaofan Li, Shuting Wang, Tiejun Huang, and Zheng Liu · 2025
Closest in time.
One diffusion to generate them all
Duong H Le, Tuan Pham, Sangho Lee, Christopher Clark, Aniruddha Kembhavi, Stephan Mandt, Ranjay Krishna, and Jiasen Lu · 2025
Closest in time.
Scaling properties of diffusion models for perceptual tasks
Rahul Ravishankar, Zeeshan Patel, Jathushan Rajasegaran, and Jitendra Malik · 2025
Closest in time.
Vertex AI Veo Prompt Rewriter
Google Cloud · 2025
Closest in time.
Lmsys org text-to-video leaderboard
LMSYS ORG · 2025
Closest in time.
Veo 2 announcement
Google · 2025
Closest in time.
Veo 2 launch
Google · 2025
Closest in time.
Veo 3 announcement
Google · 2025
Closest in time.
Veo 3 launch
Google · 2025
Closest in time.
Do generative video models understand physical principles?
Saman Motamed, Laura Culp, Kevin Swersky, Priyank Jaini, and Robert Geirhos · 2025
Closest in time.
Generative physical AI in vision: A survey
Daochang Liu, Junyu Zhang, Anh-Dung Dinh, Eunbyung Park, Shichao Zhang, and Chang Xu · 2025
Closest in time.
Visual cognition in multimodal large language models
Luca M Schulze Buschoff, Elif Akata, Matthias Bethge, and Eric Schulz · 2025
Closest in time.
Morpheus: Benchmarking physical reasoning of video generative models with real physical experiments
Chenyu Zhang, Daniil Cherniavskii, Andrii Zadaianchuk, Antonios Tragoudaras, Antonios Vozikis, Thijmen Nijdam, Derck WE Prinzhorn, Mark Bodracska, Nicu Sebe, and Efstratios Gavves · 2025
Closest in time.
Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Quentin Garrido, Nicolas Ballas, Mahmoud Assran, Adrien Bardes, Laurent Najman, Michael Rabbat, Emmanuel Dupoux, and Yann LeCun · 2025
Closest in time.
Visual jenga: Discovering object dependencies via counterfactual inpainting
Anand Bhattad, Konpat Preechakul, and Alexei A Efros · 2025
Closest in time.
V-JEPA 2: Self-supervised video models enable understanding, prediction and planning
Mido Assran, Adrien Bardes, David Fan, Quentin Garrido, Russell Howes, Matthew Muckley, Ammar Rizvi, Claire Roberts, Koustuv Sinha, Artem Zholus, et al · 2025
Closest in time.
Nano Banana: Gemini Image Generation Overview
Google · 2025
Closest in time.
VEGGIE: Instructional editing and reasoning of video concepts with grounded generation
Shoubin Yu, Difan Liu, Ziqiao Ma, Yicong Hong, Yang Zhou, Hao Tan, Joyce Chai, and Mohit Bansal · 2025
Closest in time.
Pathways on the image manifold: Image editing via video generation
Noam Rotstein, Gal Yona, Daniel Silver, Roy Velich, David Bensaid, and Ron Kimmel · 2025
Closest in time.
LLM inference prices have fallen rapidly but unequally across tasks, march 2025
Ben Cottier, Ben Snodin, David Owen, and Tom Adamczewski · 2025
Closest in time.
Maze dataset
Michael Ivanitskiy · 2025
Closest in time.
Diffusion classifiers understand compositionality, but conditions apply
Yujin Jeong, Arnas Uselis, Seong Joon Oh, and Anna Rohrbach · 2025
Closest in time.
Nate Gillman, Charles Herrmann, Michael Freeman, Daksh Aggarwal, Evan Luo, Deqing Sun, and Chen Sun · 2025
Closest in time.