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Beyond Language Modeling: An Exploration of Multimodal Pretraining
In this episode, we discuss Beyond Language Modeling: An Exploration of Multimodal Pretraining by Shengbang Tong, David Fan, John Nguyen, Ellis Brown, Gaoyue Zhou, Shengyi Qian, Boyang Zheng,…
Mode Seeking meets Mean Seeking for Fast Long Video Generation
In this episode, we discuss Mode Seeking meets Mean Seeking for Fast Long Video Generation by Shengqu Cai, Weili Nie, Chao Liu, Julius Berner, Lvmin Zhang, Nanye Ma, Hansheng Chen, Maneesh Agrawala,…
Recursive Language Models
In this episode, we discuss Recursive Language Models by Alex L. Zhang, Tim Kraska, Omar Khattab. The paper introduces Recursive Language Models (RLMs), a novel inference approach that enables large…
PaperBanana: Automating Academic Illustration for AI Scientists
In this episode, we discuss PaperBanana: Automating Academic Illustration for AI Scientists by Dawei Zhu, Rui Meng, Yale Song, Xiyu Wei, Sujian Li, Tomas Pfister, Jinsung Yoon. The paper presents…
World-Gymnast: Training Robots with Reinforcement Learning in a World Model
In this episode, we discuss World-Gymnast: Training Robots with Reinforcement Learning in a World Model by Ansh Kumar Sharma, Yixiang Sun, Ninghao Lu, Yunzhe Zhang, Jiarao Liu, Sherry Yang. The paper…
Memory-V2V: Augmenting Video-to-Video Diffusion Models with Memory
In this episode, we discuss Memory-V2V: Augmenting Video-to-Video Diffusion Models with Memory by Dohun Lee, Chun-Hao Paul Huang, Xuelin Chen, Jong Chul Ye, Duygu Ceylan, Hyeonho Jeong. The paper…
Self-Rewarding Language Models
In this episode, we discuss Self-Rewarding Language Models by Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason Weston. The paper proposes training…
On the generalization of language models from in-context learning and finetuning: a controlled study
In this episode, we discuss On the generalization of language models from in-context learning and finetuning: a controlled study by Andrew K. Lampinen, Arslan Chaudhry, Stephanie C. Y. Chan, Cody…
OpenThoughts: Data Recipes for Reasoning Models
In this episode, we discuss OpenThoughts: Data Recipes for Reasoning Models by Etash Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat,…
Nested Learning: The Illusion of Deep Learning Architecture
In this episode, we discuss Nested Learning: The Illusion of Deep Learning Architecture by The authors of the paper "Nested Learning: The Illusion of Deep Learning Architecture" are: - Ali Behrouz -…
ARC Is a Vision Problem!
In this episode, we discuss ARC Is a Vision Problem! by Keya Hu, Ali Cy, Linlu Qiu, Xiaoman Delores Ding, Runqian Wang, Yeyin Eva Zhu, Jacob Andreas, Kaiming He. The paper reframes the Abstraction…
Solving a Million-Step LLM Task with Zero Errors
In this episode, we discuss Solving a Million-Step LLM Task with Zero Errors by Elliot Meyerson, Giuseppe Paolo, Roberto Dailey, Hormoz Shahrzad, Olivier Francon, Conor F. Hayes, Xin Qiu, Babak…
DataRater: Meta-Learned Dataset Curation
In this episode, we discuss DataRater: Meta-Learned Dataset Curation by Dan A. Calian, Gregory Farquhar, Iurii Kemaev, Luisa M. Zintgraf, Matteo Hessel, Jeremy Shar, Junhyuk Oh, András György, Tom…
Mathematical exploration and discovery at scale
In this episode, we discuss Mathematical exploration and discovery at scale by Bogdan Georgiev, Javier Gómez-Serrano, Terence Tao, Adam Zsolt Wagner. AlphaEvolve is an evolutionary coding agent that…
Kosmos: An AI Scientist for Autonomous Discovery
In this episode, we discuss Kosmos: An AI Scientist for Autonomous Discovery by Ludovico Mitchener, Angela Yiu, Benjamin Chang, Mathieu Bourdenx, Tyler Nadolski, Arvis Sulovari, Eric C. Landsness,…
World Simulation with Video Foundation Models for Physical AI
In this episode, we discuss World Simulation with Video Foundation Models for Physical AI by NVIDIA, :, Arslan Ali, Junjie Bai, Maciej Bala, Yogesh Balaji, Aaron Blakeman, Tiffany Cai, Jiaxin Cao,…
Towards Robust Mathematical Reasoning
In this episode, we discuss Towards Robust Mathematical Reasoning by Thang Luong, Dawsen Hwang, Hoang H. Nguyen, Golnaz Ghiasi, Yuri Chervonyi, Insuk Seo, Junsu Kim, Garrett Bingham, Jonathan Lee,…
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
In this episode, we discuss ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models by Mingjie Liu, Shizhe Diao, Ximing Lu, Jian Hu, Xin Dong, Yejin Choi, Jan…
Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models
In this episode, we discuss Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models by Peter Robicheaux, Matvei Popov, Anish Madan, Isaac Robinson, Joseph Nelson, Deva…
ImpossibleBench: Measuring LLMs’ Propensity of Exploiting Test Cases
In this episode, we discuss ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases by Ziqian Zhong, Aditi Raghunathan, Nicholas Carlini. The paper introduces ImpossibleBench, a…
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AI Breakdown has published 400 episodes since September 2023, covering topics in Education, Science.
AI Breakdown is currently dormant with new episodes every few days. Average episode length is 4m.
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