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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:

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All Episodes

22:16

Enhancing Financial Time-Series Forecasting with...

Daily Paper Cast ·

2025/02/13

🤗 Upvotes: 25 | cs.CL Authors: Mengxi Xiao, Zihao Jiang, Lingfei Qian, Zhengyu Chen, Yueru He, Yijing Xu, Yuecheng Jiang, Dong Li, Ruey-Ling Weng, Min Peng, Jimin Huang, Sophia Ananiadou, Qianqian Xie Title: Enhancing Financial Time-Series Forecasting with Retrieval-Augmented Large Language Models Arxiv: http://arxiv.org/abs/2502.05878v2 Abstract: Stock movement prediction, a

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21:42

CodeI/O: Condensing Reasoning Patterns via Code...

Daily Paper Cast ·

2025/02/13

🤗 Upvotes: 23 | cs.CL, cs.AI Authors: Junlong Li, Daya Guo, Dejian Yang, Runxin Xu, Yu Wu, Junxian He Title: CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Arxiv: http://arxiv.org/abs/2502.07316v2 Abstract: Reasoning is a fundamental capability of Large Language Models. While prior research predominantly focuses on enhancing narrow skills like math or

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21:00

Magic 1-For-1: Generating One Minute Video Clips...

Daily Paper Cast ·

2025/02/13

🤗 Upvotes: 20 | cs.CV Authors: Hongwei Yi, Shitong Shao, Tian Ye, Jiantong Zhao, Qingyu Yin, Michael Lingelbach, Li Yuan, Yonghong Tian, Enze Xie, Daquan Zhou Title: Magic 1-For-1: Generating One Minute Video Clips within One Minute Arxiv: http://arxiv.org/abs/2502.07701v1 Abstract: In this technical report, we present Magic 1-For-1 (Magic141), an efficient video generation

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25:47

LLMs Can Easily Learn to Reason from Demonstrations...

Daily Paper Cast ·

2025/02/13

🤗 Upvotes: 20 | cs.AI Authors: Dacheng Li, Shiyi Cao, Tyler Griggs, Shu Liu, Xiangxi Mo, Shishir G. Patil, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica Title: LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters! Arxiv: http://arxiv.org/abs/2502.07374v1 Abstract: Large reasoning models (LRMs) tackle complex reasoning problems by following

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22:06

Teaching Language Models to Critique via...

Daily Paper Cast ·

2025/02/13

🤗 Upvotes: 16 | cs.LG, cs.AI, cs.CL Authors: Zhihui Xie, Jie chen, Liyu Chen, Weichao Mao, Jingjing Xu, Lingpeng Kong Title: Teaching Language Models to Critique via Reinforcement Learning Arxiv: http://arxiv.org/abs/2502.03492v1 Abstract: Teaching large language models (LLMs) to critique and refine their outputs is crucial for building systems that can iteratively improve, yet

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22:54

Scaling Pre-training to One Hundred Billion Data for...

Daily Paper Cast ·

2025/02/13

🤗 Upvotes: 15 | cs.CV Authors: Xiao Wang, Ibrahim Alabdulmohsin, Daniel Salz, Zhe Li, Keran Rong, Xiaohua Zhai Title: Scaling Pre-training to One Hundred Billion Data for Vision Language Models Arxiv: http://arxiv.org/abs/2502.07617v1 Abstract: We provide an empirical investigation of the potential of pre-training vision-language models on an unprecedented scale: 100 billion

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20:31

Enhance-A-Video: Better Generated Video for Free

Daily Paper Cast ·

2025/02/13

🤗 Upvotes: 14 | cs.CV Authors: Yang Luo, Xuanlei Zhao, Mengzhao Chen, Kaipeng Zhang, Wenqi Shao, Kai Wang, Zhangyang Wang, Yang You Title: Enhance-A-Video: Better Generated Video for Free Arxiv: http://arxiv.org/abs/2502.07508v1 Abstract: DiT-based video generation has achieved remarkable results, but research into enhancing existing models remains relatively unexplored. In this

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22:33

Can 1B LLM Surpass 405B LLM? Rethinking...

Daily Paper Cast ·

2025/02/12

🤗 Upvotes: 71 | cs.CLAuthors: Runze Liu, Junqi Gao, Jian Zhao, Kaiyan Zhang, Xiu Li, Biqing Qi, Wanli Ouyang, Bowen Zhou Title: Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling Arxiv: http://arxiv.org/abs/2502.06703v1 Abstract: Test-Time Scaling (TTS) is an important method for improving the performance of Large Language Models (LLMs) by using

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22:00

SynthDetoxM: Modern LLMs are Few-Shot Parallel...

Daily Paper Cast ·

2025/02/12

🤗 Upvotes: 71 | cs.CL Authors: Daniil Moskovskiy, Nikita Sushko, Sergey Pletenev, Elena Tutubalina, Alexander Panchenko Title: SynthDetoxM: Modern LLMs are Few-Shot Parallel Detoxification Data Annotators Arxiv: http://arxiv.org/abs/2502.06394v1 Abstract: Existing approaches to multilingual text detoxification are hampered by the scarcity of parallel multilingual datasets. In

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23:27

Exploring the Limit of Outcome Reward for Learning...

Daily Paper Cast ·

2025/02/12

🤗 Upvotes: 36 | cs.CL, cs.LG Authors: Chengqi Lyu, Songyang Gao, Yuzhe Gu, Wenwei Zhang, Jianfei Gao, Kuikun Liu, Ziyi Wang, Shuaibin Li, Qian Zhao, Haian Huang, Weihan Cao, Jiangning Liu, Hongwei Liu, Junnan Liu, Songyang Zhang, Dahua Lin, Kai Chen Title: Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning Arxiv: http://arxiv.org/abs/2502.06781v1 Abstract:

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22:15

Training Language Models for Social Deduction with...

Daily Paper Cast ·

2025/02/12

🤗 Upvotes: 22 | cs.AI, cs.CL, cs.LG, cs.MA Authors: Bidipta Sarkar, Warren Xia, C. Karen Liu, Dorsa Sadigh Title: Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning Arxiv: http://arxiv.org/abs/2502.06060v1 Abstract: Communicating in natural language is a powerful tool in multi-agent settings, as it enables independent agents to share

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20:40

CODESIM: Multi-Agent Code Generation and Problem...

Daily Paper Cast ·

2025/02/12

🤗 Upvotes: 17 | cs.CL, cs.AI Authors: Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez Title: CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging Arxiv: http://arxiv.org/abs/2502.05664v1 Abstract: Large Language Models (LLMs) have made significant strides in code generation and problem solving. Current approaches

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25:31

LM2: Large Memory Models

Daily Paper Cast ·

2025/02/12

🤗 Upvotes: 16 | cs.CL, cs.AI Authors: Jikun Kang, Wenqi Wu, Filippos Christianos, Alex J. Chan, Fraser Greenlee, George Thomas, Marvin Purtorab, Andy Toulis Title: LM2: Large Memory Models Arxiv: http://arxiv.org/abs/2502.06049v1 Abstract: This paper introduces the Large Memory Model (LM2), a decoder-only Transformer architecture enhanced with an auxiliary memory module that

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22:38

Matryoshka Quantization

Daily Paper Cast ·

2025/02/12

🤗 Upvotes: 13 | cs.LG, cs.AI Authors: Pranav Nair, Puranjay Datta, Jeff Dean, Prateek Jain, Aditya Kusupati Title: Matryoshka Quantization Arxiv: http://arxiv.org/abs/2502.06786v1 Abstract: Quantizing model weights is critical for reducing the communication and inference costs of large models. However, quantizing models -- especially to low precisions like int4 or int2 --

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18:55

Show-o Turbo: Towards Accelerated Unified Multimodal...

Daily Paper Cast ·

2025/02/12

🤗 Upvotes: 13 | cs.CV, cs.AI Authors: Chenkai Xu, Xu Wang, Zhenyi Liao, Yishun Li, Tianqi Hou, Zhijie Deng Title: Show-o Turbo: Towards Accelerated Unified Multimodal Understanding and Generation Arxiv: http://arxiv.org/abs/2502.05415v1 Abstract: There has been increasing research interest in building unified multimodal understanding and generation models, among which Show-o

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21:05

Lossless Acceleration of Large Language Models with...

Daily Paper Cast ·

2025/02/12

🤗 Upvotes: 12 | cs.CL Authors: Sukmin Cho, Sangjin Choi, Taeho Hwang, Jeongyeon Seo, Soyeong Jeong, Huije Lee, Hoyun Song, Jong C. Park, Youngjin Kwon Title: Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding Arxiv: http://arxiv.org/abs/2502.05609v1 Abstract: Accelerating inference in Large Language Models

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21:25

ReasonFlux: Hierarchical LLM Reasoning via Scaling...

Daily Paper Cast ·

2025/02/12

🤗 Upvotes: 11 | cs.CL Authors: Ling Yang, Zhaochen Yu, Bin Cui, Mengdi Wang Title: ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates Arxiv: http://arxiv.org/abs/2502.06772v1 Abstract: We present that hierarchical LLM reasoning via scaling thought templates can effectively optimize the reasoning search space and outperform the mathematical reasoning

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20:26

VideoRoPE: What Makes for Good Video Rotary Position...

Daily Paper Cast ·

2025/02/11

🤗 Upvotes: 52 | cs.CV Authors: Xilin Wei, Xiaoran Liu, Yuhang Zang, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Jian Tong, Haodong Duan, Qipeng Guo, Jiaqi Wang, Xipeng Qiu, Dahua Lin Title: VideoRoPE: What Makes for Good Video Rotary Position Embedding? Arxiv: http://arxiv.org/abs/2502.05173v1 Abstract: While Rotary Position Embedding (RoPE) and its variants are widely adopted for their

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21:19

Fast Video Generation with Sliding Tile Attention

Daily Paper Cast ·

2025/02/11

🤗 Upvotes: 39 | cs.CV Authors: Peiyuan Zhang, Yongqi Chen, Runlong Su, Hangliang Ding, Ion Stoica, Zhenghong Liu, Hao Zhang Title: Fast Video Generation with Sliding Tile Attention Arxiv: http://arxiv.org/abs/2502.04507v1 Abstract: Diffusion Transformers (DiTs) with 3D full attention power state-of-the-art video generation, but suffer from prohibitive compute cost -- when

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22:19

Goku: Flow Based Video Generative Foundation Models

Daily Paper Cast ·

2025/02/11

🤗 Upvotes: 39 | cs.CV Authors: Shoufa Chen, Chongjian Ge, Yuqi Zhang, Yida Zhang, Fengda Zhu, Hao Yang, Hongxiang Hao, Hui Wu, Zhichao Lai, Yifei Hu, Ting-Che Lin, Shilong Zhang, Fu Li, Chuan Li, Xing Wang, Yanghua Peng, Peize Sun, Ping Luo, Yi Jiang, Zehuan Yuan, Bingyue Peng, Xiaobing Liu Title: Goku: Flow Based Video Generative Foundation Models Arxiv: http://arxiv.org/abs/2502.04896v2

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2,195 results

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