Daily Paper Cast (Test)

🤗 Daily Paper Upvotes: 11 Authors: Xinghao Wang, Pengyu Wang, Bo Wang, Dong Zhang, Yunhua Zhou, Xipeng Qiu Categories: cs. CL, cs. AI, cs. CV, cs. LG Arxiv: http://arxiv.org/abs/2410.23918v1 Title: BitStack: Fine-Grained Size Control for Compressed Large Language Models in Variable Memory Environments Abstract: Large language models (LLMs) have revolutionized numerous applications, yet their depl...

🤗 Daily Paper Upvotes: 11 Authors: Yuxiang Wei, Federico Cassano, Jiawei Liu, Yifeng Ding, Naman Jain, Zachary Mueller, Harm de Vries, Leandro von Werra, Arjun Guha, Lingming Zhang Categories: cs. CL, cs. LG, cs. SE Arxiv: http://arxiv.org/abs/2410.24198v1 Title: SelfCodeAlign: Self-Alignment for Code Generation Abstract: Instruction tuning is a supervised fine-tuning approach that significantly...

🤗 Daily Paper Upvotes: 10 Authors: Renze Lou, Hanzi Xu, Sijia Wang, Jiangshu Du, Ryo Kamoi, Xiaoxin Lu, Jian Xie, Yuxuan Sun, Yusen Zhang, Jihyun Janice Ahn, Hongchao Fang, Zhuoyang Zou, Wenchao Ma, Xi Li, Kai Zhang, Congying Xia, Lifu Huang, Wenpeng Yin Categories: cs. CL Arxiv: http://arxiv.org/abs/2410.22394v1 Title: AAAR-1.0: Assessing AI's Potential to Assist Research Abstract: Numerous stud...

🤗 Daily Paper Upvotes: 10 Authors: Xueyang Yu, Xinlei Chen, Yossi Gandelsman Categories: cs. CV Arxiv: http://arxiv.org/abs/2410.24213v1 Title: Learning Video Representations without Natural Videos Abstract: In this paper, we show that useful video representations can be learned from synthetic videos and natural images, without incorporating natural videos in the training. We propose a progressio...

🤗 Daily Paper Upvotes: 7 Authors: Yang Zhou, Tan Li Hui Faith, Yanyu Xu, Sicong Leng, Xinxing Xu, Yong Liu, Rick Siow Mong Goh Categories: cs. CV Arxiv: http://arxiv.org/abs/2410.21969v1 Title: BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays Abstract: Medical Vision-Language Pretraining (MedVLP) shows promise in learning generalizable and transferable...

🤗 Daily Paper Upvotes: 42 Authors: Ming Li, Yanhong Li, Tianyi Zhou Categories: cs. CL, cs. AI, cs. LG Arxiv: http://arxiv.org/abs/2410.23743v1 Title: What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective Abstract: What makes a difference in the post-training of LLMs? We investigate the training patterns of different layers in large language models (LLMs), t...

🤗 Daily Paper Upvotes: 56 Authors: Viacheslav Surkov, Chris Wendler, Mikhail Terekhov, Justin Deschenaux, Robert West, Caglar Gulcehre Categories: cs. LG, cs. AI, cs. CV Arxiv: http://arxiv.org/abs/2410.22366v1 Title: Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders Abstract: Sparse autoencoders (SAEs) have become a core ingredient in the reverse engineering of lar...

🤗 Daily Paper Upvotes: 56 Authors: Viacheslav Surkov, Chris Wendler, Mikhail Terekhov, Justin Deschenaux, Robert West, Caglar Gulcehre Categories: cs. LG, cs. AI, cs. CV Arxiv: http://arxiv.org/abs/2410.22366v1 Title: Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders Abstract: Sparse autoencoders (SAEs) have become a core ingredient in the reverse engineering of lar...

🤗 Daily Paper Upvotes: 42 Authors: Ming Li, Yanhong Li, Tianyi Zhou Categories: cs. CL, cs. AI, cs. LG Arxiv: http://arxiv.org/abs/2410.23743v1 Title: What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective Abstract: What makes a difference in the post-training of LLMs? We investigate the training patterns of different layers in large language models (LLMs), t...

🤗 Daily Paper Upvotes: 56 Authors: Viacheslav Surkov, Chris Wendler, Mikhail Terekhov, Justin Deschenaux, Robert West, Caglar Gulcehre Categories: cs. LG, cs. AI, cs. CV Arxiv: http://arxiv.org/abs/2410.22366v1 Title: Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders Abstract: Sparse autoencoders (SAEs) have become a core ingredient in the reverse engineering of lar...

🤗 Daily Paper Upvotes: 42 Authors: Ming Li, Yanhong Li, Tianyi Zhou Categories: cs. CL, cs. AI, cs. LG Arxiv: http://arxiv.org/abs/2410.23743v1 Title: What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective Abstract: What makes a difference in the post-training of LLMs? We investigate the training patterns of different layers in large language models (LLMs), t...

Published on Oct 21 2024

Published on Oct 21

A description of my awesome episode