Daily Paper Cast (Test)

🤗 Upvotes: 82 | cs. CV Authors: Daniil Selikhanovych, David Li, Aleksei Leonov, Nikita Gushchin, Sergei Kushneriuk, Alexander Filippov, Evgeny Burnaev, Iaroslav Koshelev, Alexander Korotin Title: One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation Arxiv: http://arxiv.org/abs/2503.13358v1 Abstract: Diffusion models for super-resolution (SR) produce high-quality visual...

🤗 Upvotes: 61 | cs. AI, cs. CL, cs. LG Authors: Asaf Yehudai, Lilach Eden, Alan Li, Guy Uziel, Yilun Zhao, Roy Bar-Haim, Arman Cohan, Michal Shmueli-Scheuer Title: Survey on Evaluation of LLM-based Agents Arxiv: http://arxiv.org/abs/2503.16416v1 Abstract: The emergence of LLM-based agents represents a paradigm shift in AI, enabling autonomous systems to plan, reason, use tools, and maintain memor...

🤗 Upvotes: 83 | cs. CV, cs. AI, cs. CL, cs. LG Authors: Senqiao Yang, Yukang Chen, Zhuotao Tian, Chengyao Wang, Jingyao Li, Bei Yu, Jiaya Jia Title: VisionZip: Longer is Better but Not Necessary in Vision Language Models Arxiv: http://arxiv.org/abs/2412.04467v1 Abstract: Recent advancements in vision-language models have enhanced performance by increasing the length of visual tokens, making them...

🤗 Upvotes: 46 | cs. CV, cs. AI Authors: Jiuhai Chen, Jianwei Yang, Haiping Wu, Dianqi Li, Jianfeng Gao, Tianyi Zhou, Bin Xiao Title: Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion Arxiv: http://arxiv.org/abs/2412.04424v1 Abstract: We present Florence-VL, a new family of multimodal large language models (MLLMs) with enriched visual representat...

🤗 Paper Upvotes: 192 | cs. CV, cs. CL Authors: Alexey Dontsov, Dmitrii Korzh, Alexey Zhavoronkin, Boris Mikheev, Denis Bobkov, Aibek Alanov, Oleg Y. Rogov, Ivan Oseledets, Elena Tutubalina Title: CLEAR: Character Unlearning in Textual and Visual Modalities Arxiv: http://arxiv.org/abs/2410.18057v1 Abstract: Machine Unlearning (MU) is critical for enhancing privacy and security in deep learning mod...

🤗 Paper Upvotes: 31 | cs. AI, cs. CL Authors: Ziming Li, Qianbo Zang, David Ma, Jiawei Guo, Tuney Zheng, Minghao Liu, Xinyao Niu, Yue Wang, Jian Yang, Jiaheng Liu, Wanjun Zhong, Wangchunshu Zhou, Wenhao Huang, Ge Zhang Title: AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions Arxiv: http://arxiv.org/abs/2410.20424v2 Abstract: Data science tasks involving tabular data pre...

🤗 Paper Upvotes: 50 | Categories: cs. IR, cs. CL Title: CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation Authors: Yiruo Cheng, Kelong Mao, Ziliang Zhao, Guanting Dong, Hongjin Qian, Yongkang Wu, Tetsuya Sakai, Ji-Rong Wen, Zhicheng Dou Arxiv: http://arxiv.org/abs/2410.23090v1 Abstract: Retrieval-Augmented Generation (RAG) has become a powerful paradigm for enhancing...

🤗 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