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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

22:24

Multiagent Finetuning: Self Improvement with Diverse...

Daily Paper Cast ·

2025/01/14

🤗 Upvotes: 8 | cs.CL, cs.AI, cs.LG Authors: Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch Title: Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains Arxiv: http://arxiv.org/abs/2501.05707v1 Abstract: Large language models (LLMs) have achieved remarkable performance in recent years but are fundamentally limited

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20:12

The GAN is dead; long live the GAN! A Modern GAN...

Daily Paper Cast ·

2025/01/11

🤗 Upvotes: 27 | cs.LG, cs.CVAuthors: Yiwen Huang, Aaron Gokaslan, Volodymyr Kuleshov, James Tompkin Title: The GAN is dead; long live the GAN! A Modern GAN Baseline Arxiv: http://arxiv.org/abs/2501.05441v1 Abstract: There is a widely-spread claim that GANs are difficult to train, and GAN architectures in the literature are littered with empirical tricks. We provide evidence

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21:47

An Empirical Study of Autoregressive Pre-training...

Daily Paper Cast ·

2025/01/11

🤗 Upvotes: 17 | cs.CV, cs.AI Authors: Jathushan Rajasegaran, Ilija Radosavovic, Rahul Ravishankar, Yossi Gandelsman, Christoph Feichtenhofer, Jitendra Malik Title: An Empirical Study of Autoregressive Pre-training from Videos Arxiv: http://arxiv.org/abs/2501.05453v1 Abstract: We empirically study autoregressive pre-training from videos. To perform our study, we construct a

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21:45

Are VLMs Ready for Autonomous Driving? An Empirical...

Daily Paper Cast ·

2025/01/11

🤗 Upvotes: 10 | cs.CV, cs.RO Authors: Shaoyuan Xie, Lingdong Kong, Yuhao Dong, Chonghao Sima, Wenwei Zhang, Qi Alfred Chen, Ziwei Liu, Liang Pan Title: Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives Arxiv: http://arxiv.org/abs/2501.04003v1 Abstract: Recent advancements in Vision-Language Models (VLMs) have sparked

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24:10

Entropy-Guided Attention for Private LLMs

Daily Paper Cast ·

2025/01/11

🤗 Upvotes: 6 | cs.LG, cs.CR Authors: Nandan Kumar Jha, Brandon Reagen Title: Entropy-Guided Attention for Private LLMs Arxiv: http://arxiv.org/abs/2501.03489v2 Abstract: The pervasiveness of proprietary language models has raised critical privacy concerns, necessitating advancements in private inference (PI), where computations are performed directly on encrypted data without

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19:15

On Computational Limits and Provably Efficient...

Daily Paper Cast ·

2025/01/11

🤗 Upvotes: 5 | cs.LG, cs.AI, cs.CC, cs.CV Authors: Yekun Ke, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song Title: On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis Arxiv: http://arxiv.org/abs/2501.04377v1 Abstract: Recently, Visual Autoregressive ($\mathsf{VAR}$) Models introduced a

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22:09

Centurio: On Drivers of Multilingual Ability of Large...

Daily Paper Cast ·

2025/01/11

🤗 Upvotes: 5 | cs.CL, cs.CV Authors: Gregor Geigle, Florian Schneider, Carolin Holtermann, Chris Biemann, Radu Timofte, Anne Lauscher, Goran Glavaš Title: Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model Arxiv: http://arxiv.org/abs/2501.05122v1 Abstract: Most Large Vision-Language Models (LVLMs) to date are trained predominantly on English data, which

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21:42

SWE-Fixer: Training Open-Source LLMs for Effective...

Daily Paper Cast ·

2025/01/11

🤗 Upvotes: 4 | cs.CL Authors: Chengxing Xie, Bowen Li, Chang Gao, He Du, Wai Lam, Difan Zou, Kai Chen Title: SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution Arxiv: http://arxiv.org/abs/2501.05040v1 Abstract: Large Language Models (LLMs) have demonstrated remarkable proficiency across a variety of complex tasks. One significant application

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26:35

Building Foundations for Natural Language Processing...

Daily Paper Cast ·

2025/01/11

🤗 Upvotes: 3 | cs.CL Authors: Şaziye Betül Özateş, Tarık Emre Tıraş, Ece Elif Adak, Berat Doğan, Fatih Burak Karagöz, Efe Eren Genç, Esma F. Bilgin Taşdemir Title: Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models Arxiv: http://arxiv.org/abs/2501.04828v1 Abstract: This paper introduces foundational resources and models for natural

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27:07

rStar-Math: Small LLMs Can Master Math Reasoning with...

Daily Paper Cast ·

2025/01/10

🤗 Upvotes: 116 | cs.CLAuthors: Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun, Yi Zhu, Fan Yang, Mao Yang Title: rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking Arxiv: http://arxiv.org/abs/2501.04519v1 Abstract: We present rStar-Math to demonstrate that small language models (SLMs) can rival or even surpass the math reasoning

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24:54

Towards System 2 Reasoning in LLMs: Learning How to...

Daily Paper Cast ·

2025/01/10

🤗 Upvotes: 47 | cs.AI, cs.CL Authors: Violet Xiang, Charlie Snell, Kanishk Gandhi, Alon Albalak, Anikait Singh, Chase Blagden, Duy Phung, Rafael Rafailov, Nathan Lile, Dakota Mahan, Louis Castricato, Jan-Philipp Franken, Nick Haber, Chelsea Finn Title: Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought Arxiv: http://arxiv.org/abs/2501.04682v1 Abstract:

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23:38

URSA: Understanding and Verifying Chain-of-thought...

Daily Paper Cast ·

2025/01/10

🤗 Upvotes: 38 | cs.CL, cs.AI, cs.LG Authors: Ruilin Luo, Zhuofan Zheng, Yifan Wang, Yiyao Yu, Xinzhe Ni, Zicheng Lin, Jin Zeng, Yujiu Yang Title: URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics Arxiv: http://arxiv.org/abs/2501.04686v1 Abstract: Chain-of-thought (CoT) reasoning has been widely applied in the mathematical reasoning of Large

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23:32

Agent Laboratory: Using LLM Agents as Research...

Daily Paper Cast ·

2025/01/10

🤗 Upvotes: 38 | cs.HC, cs.AI, cs.CL, cs.LG Authors: Samuel Schmidgall, Yusheng Su, Ze Wang, Ximeng Sun, Jialian Wu, Xiaodong Yu, Jiang Liu, Zicheng Liu, Emad Barsoum Title: Agent Laboratory: Using LLM Agents as Research Assistants Arxiv: http://arxiv.org/abs/2501.04227v1 Abstract: Historically, scientific discovery has been a lengthy and costly process, demanding substantial

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25:14

LLM4SR: A Survey on Large Language Models for...

Daily Paper Cast ·

2025/01/10

🤗 Upvotes: 21 | cs.CL, cs.DL Authors: Ziming Luo, Zonglin Yang, Zexin Xu, Wei Yang, Xinya Du Title: LLM4SR: A Survey on Large Language Models for Scientific Research Arxiv: http://arxiv.org/abs/2501.04306v1 Abstract: In recent years, the rapid advancement of Large Language Models (LLMs) has transformed the landscape of scientific research, offering unprecedented support across

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21:01

InfiGUIAgent: A Multimodal Generalist GUI Agent with...

Daily Paper Cast ·

2025/01/10

🤗 Upvotes: 16 | cs.AI, cs.CL, cs.HC Authors: Yuhang Liu, Pengxiang Li, Zishu Wei, Congkai Xie, Xueyu Hu, Xinchen Xu, Shengyu Zhang, Xiaotian Han, Hongxia Yang, Fei Wu Title: InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection Arxiv: http://arxiv.org/abs/2501.04575v1 Abstract: Graphical User Interface (GUI) Agents, powered by multimodal large

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22:59

SPAR3D: Stable Point-Aware Reconstruction of 3D...

Daily Paper Cast ·

2025/01/10

🤗 Upvotes: 12 | cs.CV, cs.GR Authors: Zixuan Huang, Mark Boss, Aaryaman Vasishta, James M. Rehg, Varun Jampani Title: SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images Arxiv: http://arxiv.org/abs/2501.04689v1 Abstract: We study the problem of single-image 3D object reconstruction. Recent works have diverged into two directions: regression-based modeling

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22:10

GeAR: Generation Augmented Retrieval

Daily Paper Cast ·

2025/01/10

🤗 Upvotes: 12 | cs.IR, cs.CL Authors: Haoyu Liu, Shaohan Huang, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Weiwei Deng, Feng Sun, Furu Wei, Qi Zhang Title: GeAR: Generation Augmented Retrieval Arxiv: http://arxiv.org/abs/2501.02772v1 Abstract: Document retrieval techniques form the foundation for the development of large-scale information systems. The prevailing methodology is to

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24:00

Chirpy3D: Continuous Part Latents for Creative 3D...

Daily Paper Cast ·

2025/01/10

🤗 Upvotes: 10 | cs.CV, cs.GR Authors: Kam Woh Ng, Jing Yang, Jia Wei Sii, Jiankang Deng, Chee Seng Chan, Yi-Zhe Song, Tao Xiang, Xiatian Zhu Title: Chirpy3D: Continuous Part Latents for Creative 3D Bird Generation Arxiv: http://arxiv.org/abs/2501.04144v1 Abstract: In this paper, we push the boundaries of fine-grained 3D generation into truly creative territory. Current methods

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22:36

DPO Kernels: A Semantically-Aware, Kernel-Enhanced,...

Daily Paper Cast ·

2025/01/10

🤗 Upvotes: 5 | cs.LG, cs.AI, cs.CL, 68T45 Authors: Amitava Das, Suranjana Trivedy, Danush Khanna, Rajarshi Roy, Gurpreet Singh, Basab Ghosh, Yaswanth Narsupalli, Vinija Jain, Vasu Sharma, Aishwarya Naresh Reganti, Aman Chadha Title: DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization Arxiv: http://arxiv.org/abs/2501.03271v2

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21:46

REINFORCE++: A Simple and Efficient Approach for...

Daily Paper Cast ·

2025/01/09

🤗 Upvotes: 51 | cs.CL, cs.LGAuthors: Jian Hu Title: REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models Arxiv: http://arxiv.org/abs/2501.03262v1 Abstract: Reinforcement Learning from Human Feedback (RLHF) has emerged as a critical approach for aligning large language models with human preferences, witnessing rapid algorithmic evolution through

en

2,195 results

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