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PODCAST

Daily Paper Cast

Jingwen Liang, Gengyu Wang

We update every weekday to discuss highest-voted papers from Huggingface Daily Paper (https://huggingface.co/papers). Both the podcast scripts and audio are generated by AI. Feedback and suggestions are welcome! Email us: dailypapercast.ai@gmail.com Creator: Jingwen Liang, 3D ML, https://www.linkedin.com/in/jingwen-liang/ Gengyu Wang, LLM ML, http://wanggengyu.com Listen on: Spotify: https://open.spotify.com/show/21nrhmdaA8qoBiH8q03NXL Apple Podcast:

science

All Episodes

25:23

CLEAR: Conv-Like Linearization Revs Pre-Trained...

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 13 | cs.CV Authors: Songhua Liu, Zhenxiong Tan, Xinchao Wang Title: CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up Arxiv: http://arxiv.org/abs/2412.16112v1 Abstract: Diffusion Transformers (DiT) have become a leading architecture in image generation. However, the quadratic complexity of attention mechanisms, which are responsible for

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23:23

Taming Multimodal Joint Training for High-Quality...

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 12 | cs.CV, cs.LG, cs.SD, eess.AS Authors: Ho Kei Cheng, Masato Ishii, Akio Hayakawa, Takashi Shibuya, Alexander Schwing, Yuki Mitsufuji Title: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis Arxiv: http://arxiv.org/abs/2412.15322v1 Abstract: We propose to synthesize high-quality and synchronized audio, given video and optional text

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28:03

Toward Robust Hyper-Detailed Image Captioning: A...

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 9 | cs.CV Authors: Saehyung Lee, Seunghyun Yoon, Trung Bui, Jing Shi, Sungroh Yoon Title: Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage Arxiv: http://arxiv.org/abs/2412.15484v1 Abstract: Multimodal large language models (MLLMs) excel at generating highly detailed captions but often produce

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22:10

Sequence Matters: Harnessing Video Models in 3D...

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 6 | cs.CV, 68U10, 68T10, I.4.5; I.2.10 Authors: Hyun-kyu Ko, Dongheok Park, Youngin Park, Byeonghyeon Lee, Juhee Han, Eunbyung Park Title: Sequence Matters: Harnessing Video Models in 3D Super-Resolution Arxiv: http://arxiv.org/abs/2412.11525v3 Abstract: 3D super-resolution aims to reconstruct high-fidelity 3D models from low-resolution (LR) multi-view images. Early

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25:04

TRecViT: A Recurrent Video Transformer

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 5 | cs.CV, cs.LG Authors: Viorica Pătrăucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, João Carreira, Razvan Pascanu Title: TRecViT: A Recurrent Video Transformer Arxiv: http://arxiv.org/abs/2412.14294v1 Abstract: We propose a novel block for video

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23:01

MixLLM: LLM Quantization with Global Mixed-precision...

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 4 | cs.LG Authors: Zhen Zheng, Xiaonan Song, Chuanjie Liu Title: MixLLM: LLM Quantization with Global Mixed-precision between Output-features and Highly-efficient System Design Arxiv: http://arxiv.org/abs/2412.14590v1 Abstract: Quantization has become one of the most effective methodologies to compress LLMs into smaller size. However, the existing quantization

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23:19

Multi-LLM Text Summarization

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 3 | cs.CL Authors: Jiangnan Fang, Cheng-Tse Liu, Jieun Kim, Yash Bhedaru, Ethan Liu, Nikhil Singh, Nedim Lipka, Puneet Mathur, Nesreen K. Ahmed, Franck Dernoncourt, Ryan A. Rossi, Hanieh Deilamsalehy Title: Multi-LLM Text Summarization Arxiv: http://arxiv.org/abs/2412.15487v1 Abstract: In this work, we propose a Multi-LLM summarization framework, and investigate two

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25:31

Qwen2.5 Technical Report

Daily Paper Cast ·

2024/12/21

🤗 Upvotes: 236 | cs.CL Authors: Qwen, :, An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoran Wei, Huan Lin, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Yang, Jiaxi Yang, Jingren Zhou, Junyang Lin, Kai Dang, Keming Lu, Keqin Bao, Kexin Yang, Le Yu, Mei Li, Mingfeng Xue, Pei Zhang, Qin Zhu, Rui Men, Runji Lin, Tianhao Li, Tingyu Xia, Xingzhang Ren, Xuancheng Ren, Yang Fan, Yang Su,

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23:02

MegaPairs: Massive Data Synthesis For Universal...

Daily Paper Cast ·

2024/12/21

🤗 Upvotes: 44 | cs.CV, cs.CL Authors: Junjie Zhou, Zheng Liu, Ze Liu, Shitao Xiao, Yueze Wang, Bo Zhao, Chen Jason Zhang, Defu Lian, Yongping Xiong Title: MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval Arxiv: http://arxiv.org/abs/2412.14475v1 Abstract: Despite the rapidly growing demand for multimodal retrieval, progress in this field remains severely

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23:11

LongBench v2: Towards Deeper Understanding and...

Daily Paper Cast ·

2024/12/21

🤗 Upvotes: 23 | cs.CL, cs.AI Authors: Yushi Bai, Shangqing Tu, Jiajie Zhang, Hao Peng, Xiaozhi Wang, Xin Lv, Shulin Cao, Jiazheng Xu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li Title: LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks Arxiv: http://arxiv.org/abs/2412.15204v1 Abstract: This paper introduces LongBench v2, a benchmark

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24:20

How to Synthesize Text Data without Model Collapse?

Daily Paper Cast ·

2024/12/21

🤗 Upvotes: 19 | cs.CL, cs.AI, cs.LG Authors: Xuekai Zhu, Daixuan Cheng, Hengli Li, Kaiyan Zhang, Ermo Hua, Xingtai Lv, Ning Ding, Zhouhan Lin, Zilong Zheng, Bowen Zhou Title: How to Synthesize Text Data without Model Collapse? Arxiv: http://arxiv.org/abs/2412.14689v1 Abstract: Model collapse in synthetic data indicates that iterative training on self-generated data leads to a

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19:57

Flowing from Words to Pixels: A Framework for...

Daily Paper Cast ·

2024/12/21

🤗 Upvotes: 17 | cs.CV Authors: Qihao Liu, Xi Yin, Alan Yuille, Andrew Brown, Mannat Singh Title: Flowing from Words to Pixels: A Framework for Cross-Modality Evolution Arxiv: http://arxiv.org/abs/2412.15213v1 Abstract: Diffusion models, and their generalization, flow matching, have had a remarkable impact on the field of media generation. Here, the conventional approach is to

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20:44

Affordance-Aware Object Insertion via Mask-Aware Dual...

Daily Paper Cast ·

2024/12/21

🤗 Upvotes: 13 | cs.CV Authors: Jixuan He, Wanhua Li, Ye Liu, Junsik Kim, Donglai Wei, Hanspeter Pfister Title: Affordance-Aware Object Insertion via Mask-Aware Dual Diffusion Arxiv: http://arxiv.org/abs/2412.14462v1 Abstract: As a common image editing operation, image composition involves integrating foreground objects into background scenes. In this paper, we expand the

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21:08

LeviTor: 3D Trajectory Oriented Image-to-Video Synthesis

Daily Paper Cast ·

2024/12/21

🤗 Upvotes: 12 | cs.CV Authors: Hanlin Wang, Hao Ouyang, Qiuyu Wang, Wen Wang, Ka Leong Cheng, Qifeng Chen, Yujun Shen, Limin Wang Title: LeviTor: 3D Trajectory Oriented Image-to-Video Synthesis Arxiv: http://arxiv.org/abs/2412.15214v1 Abstract: The intuitive nature of drag-based interaction has led to its growing adoption for controlling object trajectories in image-to-video

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23:08

DI-PCG: Diffusion-based Efficient Inverse Procedural...

Daily Paper Cast ·

2024/12/21

🤗 Upvotes: 8 | cs.CV, cs.AI, cs.GR Authors: Wang Zhao, Yan-Pei Cao, Jiale Xu, Yuejiang Dong, Ying Shan Title: DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation Arxiv: http://arxiv.org/abs/2412.15200v1 Abstract: Procedural Content Generation (PCG) is powerful in creating high-quality 3D contents, yet controlling it to

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24:09

AceMath: Advancing Frontier Math Reasoning with...

Daily Paper Cast ·

2024/12/21

🤗 Upvotes: 7 | cs.CL, cs.AI, cs.LG Authors: Zihan Liu, Yang Chen, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping Title: AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling Arxiv: http://arxiv.org/abs/2412.15084v1 Abstract: In this paper, we introduce AceMath, a suite of frontier math models that excel in solving complex math problems, along with highly

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21:59

No More Adam: Learning Rate Scaling at Initialization...

Daily Paper Cast ·

2024/12/20

🤗 Upvotes: 177 | cs.LG, cs.AIAuthors: Minghao Xu, Lichuan Xiang, Xu Cai, Hongkai Wen Title: No More Adam: Learning Rate Scaling at Initialization is All You Need Arxiv: http://arxiv.org/abs/2412.11768v2 Abstract: In this work, we question the necessity of adaptive gradient methods for training deep neural networks. SGD-SaI is a simple yet effective enhancement to stochastic

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21:56

Smarter, Better, Faster, Longer: A Modern...

Daily Paper Cast ·

2024/12/20

🤗 Upvotes: 36 | cs.CL, cs.AI Authors: Benjamin Warner, Antoine Chaffin, Benjamin Clavié, Orion Weller, Oskar Hallström, Said Taghadouini, Alexis Gallagher, Raja Biswas, Faisal Ladhak, Tom Aarsen, Nathan Cooper, Griffin Adams, Jeremy Howard, Iacopo Poli Title: Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference Arxiv:

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24:45

TheAgentCompany: Benchmarking LLM Agents on...

Daily Paper Cast ·

2024/12/20

🤗 Upvotes: 30 | cs.CL Authors: Frank F. Xu, Yufan Song, Boxuan Li, Yuxuan Tang, Kritanjali Jain, Mengxue Bao, Zora Z. Wang, Xuhui Zhou, Zhitong Guo, Murong Cao, Mingyang Yang, Hao Yang Lu, Amaad Martin, Zhe Su, Leander Maben, Raj Mehta, Wayne Chi, Lawrence Jang, Yiqing Xie, Shuyan Zhou, Graham Neubig Title: TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks Arxiv:

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22:20

AniDoc: Animation Creation Made Easier

Daily Paper Cast ·

2024/12/20

🤗 Upvotes: 29 | cs.CV Authors: Yihao Meng, Hao Ouyang, Hanlin Wang, Qiuyu Wang, Wen Wang, Ka Leong Cheng, Zhiheng Liu, Yujun Shen, Huamin Qu Title: AniDoc: Animation Creation Made Easier Arxiv: http://arxiv.org/abs/2412.14173v1 Abstract: The production of 2D animation follows an industry-standard workflow, encompassing four essential stages: character design, keyframe animation,

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1,967 results

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