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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

23:24

TripoSG: High-Fidelity 3D Shape Synthesis using...

Daily Paper Cast ·

2025/02/15

🤗 Upvotes: 15 | cs.CV, cs.AI Authors: Yangguang Li, Zi-Xin Zou, Zexiang Liu, Dehu Wang, Yuan Liang, Zhipeng Yu, Xingchao Liu, Yuan-Chen Guo, Ding Liang, Wanli Ouyang, Yan-Pei Cao Title: TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models Arxiv: http://arxiv.org/abs/2502.06608v1 Abstract: Recent advancements in diffusion techniques have propelled

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22:34

Fino1: On the Transferability of Reasoning Enhanced...

Daily Paper Cast ·

2025/02/14

🤗 Upvotes: 40 | cs.CL Authors: Lingfei Qian, Weipeng Zhou, Yan Wang, Xueqing Peng, Jimin Huang, Qianqian Xie Title: Fino1: On the Transferability of Reasoning Enhanced LLMs to Finance Arxiv: http://arxiv.org/abs/2502.08127v1 Abstract: Recent advancements in large language models (LLMs) have shown strong general reasoning abilities, yet their effectiveness in financial reasoning

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18:53

TextAtlas5M: A Large-scale Dataset for Dense Text...

Daily Paper Cast ·

2025/02/14

🤗 Upvotes: 35 | cs.CV Authors: Alex Jinpeng Wang, Dongxing Mao, Jiawei Zhang, Weiming Han, Zhuobai Dong, Linjie Li, Yiqi Lin, Zhengyuan Yang, Libo Qin, Fuwei Zhang, Lijuan Wang, Min Li Title: TextAtlas5M: A Large-scale Dataset for Dense Text Image Generation Arxiv: http://arxiv.org/abs/2502.07870v1 Abstract: Text-conditioned image generation has gained significant attention in

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19:53

BenchMAX: A Comprehensive Multilingual Evaluation...

Daily Paper Cast ·

2025/02/14

🤗 Upvotes: 35 | cs.CL Authors: Xu Huang, Wenhao Zhu, Hanxu Hu, Conghui He, Lei Li, Shujian Huang, Fei Yuan Title: BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models Arxiv: http://arxiv.org/abs/2502.07346v1 Abstract: Previous multilingual benchmarks focus primarily on simple understanding tasks, but for large language models(LLMs), we emphasize

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23:46

CineMaster: A 3D-Aware and Controllable Framework for...

Daily Paper Cast ·

2025/02/14

🤗 Upvotes: 29 | cs.CV Authors: Qinghe Wang, Yawen Luo, Xiaoyu Shi, Xu Jia, Huchuan Lu, Tianfan Xue, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai Title: CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation Arxiv: http://arxiv.org/abs/2502.08639v1 Abstract: In this work, we present CineMaster, a novel framework for 3D-aware and controllable

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21:32

Distillation Scaling Laws

Daily Paper Cast ·

2025/02/14

🤗 Upvotes: 26 | cs.LG, cs.AI, cs.CL, stat.ML Authors: Dan Busbridge, Amitis Shidani, Floris Weers, Jason Ramapuram, Etai Littwin, Russ Webb Title: Distillation Scaling Laws Arxiv: http://arxiv.org/abs/2502.08606v1 Abstract: We provide a distillation scaling law that estimates distilled model performance based on a compute budget and its allocation between the student and

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20:35

TransMLA: Multi-Head Latent Attention Is All You Need

Daily Paper Cast ·

2025/02/14

🤗 Upvotes: 25 | cs.LG, cs.AI Authors: Fanxu Meng, Zengwei Yao, Muhan Zhang Title: TransMLA: Multi-Head Latent Attention Is All You Need Arxiv: http://arxiv.org/abs/2502.07864v2 Abstract: Modern large language models (LLMs) often encounter communication bottlenecks on current hardware, rather than purely computational constraints. Multi-head Latent Attention (MLA) tackles this

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20:01

WorldGUI: Dynamic Testing for Comprehensive Desktop...

Daily Paper Cast ·

2025/02/14

🤗 Upvotes: 21 | cs.AI, cs.MA Authors: Henry Hengyuan Zhao, Difei Gao, Mike Zheng Shou Title: WorldGUI: Dynamic Testing for Comprehensive Desktop GUI Automation Arxiv: http://arxiv.org/abs/2502.08047v1 Abstract: Current GUI agents have achieved outstanding performance in GUI element grounding. However, planning remains highly challenging, especially due to sensitivity to the

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23:22

LASP-2: Rethinking Sequence Parallelism for Linear...

Daily Paper Cast ·

2025/02/14

🤗 Upvotes: 19 | cs.LG, cs.AI, cs.CL Authors: Weigao Sun, Disen Lan, Yiran Zhong, Xiaoye Qu, Yu Cheng Title: LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid Arxiv: http://arxiv.org/abs/2502.07563v1 Abstract: Linear sequence modeling approaches, such as linear attention, provide advantages like linear-time training and constant-memory inference over

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21:25

Ignore the KL Penalty! Boosting Exploration on...

Daily Paper Cast ·

2025/02/14

🤗 Upvotes: 11 | cs.CL, cs.LG Authors: Jean Vassoyan, Nathanaël Beau, Roman Plaud Title: Ignore the KL Penalty! Boosting Exploration on Critical Tokens to Enhance RL Fine-Tuning Arxiv: http://arxiv.org/abs/2502.06533v1 Abstract: The ability to achieve long-term goals is a key challenge in the current development of large language models (LLMs). To address this, pre-trained LLMs

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21:10

Expect the Unexpected: FailSafe Long Context QA for...

Daily Paper Cast ·

2025/02/13

🤗 Upvotes: 105 | cs.CLAuthors: Kiran Kamble, Melisa Russak, Dmytro Mozolevskyi, Muayad Ali, Mateusz Russak, Waseem AlShikh Title: Expect the Unexpected: FailSafe Long Context QA for Finance Arxiv: http://arxiv.org/abs/2502.06329v1 Abstract: We propose a new long-context financial benchmark, FailSafeQA, designed to test the robustness and context-awareness of LLMs against six

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21:08

Competitive Programming with Large Reasoning Models

Daily Paper Cast ·

2025/02/13

🤗 Upvotes: 42 | cs.LG, cs.AI, cs.CL Authors: OpenAI, :, Ahmed El-Kishky, Alexander Wei, Andre Saraiva, Borys Minaev, Daniel Selsam, David Dohan, Francis Song, Hunter Lightman, Ignasi Clavera, Jakub Pachocki, Jerry Tworek, Lorenz Kuhn, Lukasz Kaiser, Mark Chen, Max Schwarzer, Mostafa Rohaninejad, Nat McAleese, o3 contributors, Oleg Mürk, Rhythm Garg, Rui Shu, Szymon Sidor, Vineet Kosaraju, Wenda Zhou Title: Competitive

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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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1,967 results

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