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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

19:51

UltraIF: Advancing Instruction Following from the Wild

Daily Paper Cast ·

2025/02/08

🤗 Upvotes: 15 | cs.CL, cs.AI Authors: Kaikai An, Li Sheng, Ganqu Cui, Shuzheng Si, Ning Ding, Yu Cheng, Baobao Chang Title: UltraIF: Advancing Instruction Following from the Wild Arxiv: http://arxiv.org/abs/2502.04153v1 Abstract: Instruction-following made modern large language models (LLMs) helpful assistants. However, the key to taming LLMs on complex instructions remains

en

30:24

Great Models Think Alike and this Undermines AI...

Daily Paper Cast ·

2025/02/08

🤗 Upvotes: 14 | cs.LG, cs.AI, cs.CL Authors: Shashwat Goel, Joschka Struber, Ilze Amanda Auzina, Karuna K Chandra, Ponnurangam Kumaraguru, Douwe Kiela, Ameya Prabhu, Matthias Bethge, Jonas Geiping Title: Great Models Think Alike and this Undermines AI Oversight Arxiv: http://arxiv.org/abs/2502.04313v1 Abstract: As Language Model (LM) capabilities advance, evaluating and

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22:33

Gold-medalist Performance in Solving Olympiad...

Daily Paper Cast ·

2025/02/08

🤗 Upvotes: 14 | cs.AI, cs.LG Authors: Yuri Chervonyi, Trieu H. Trinh, Miroslav Olšák, Xiaomeng Yang, Hoang Nguyen, Marcelo Menegali, Junehyuk Jung, Vikas Verma, Quoc V. Le, Thang Luong Title: Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2 Arxiv: http://arxiv.org/abs/2502.03544v1 Abstract: We present AlphaGeometry2, a significantly improved version of

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20:43

Ola: Pushing the Frontiers of Omni-Modal Language...

Daily Paper Cast ·

2025/02/08

🤗 Upvotes: 14 | cs.CV, cs.CL, cs.MM, cs.SD, eess.AS, eess.IV Authors: Zuyan Liu, Yuhao Dong, Jiahui Wang, Ziwei Liu, Winston Hu, Jiwen Lu, Yongming Rao Title: Ola: Pushing the Frontiers of Omni-Modal Language Model with Progressive Modality Alignment Arxiv: http://arxiv.org/abs/2502.04328v1 Abstract: Recent advances in large language models, particularly following GPT-4o, have

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20:44

MotionLab: Unified Human Motion Generation and...

Daily Paper Cast ·

2025/02/08

🤗 Upvotes: 13 | cs.CV Authors: Ziyan Guo, Zeyu Hu, Na Zhao, De Wen Soh Title: MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Arxiv: http://arxiv.org/abs/2502.02358v3 Abstract: Human motion generation and editing are key components of computer graphics and vision. However, current approaches in this field tend to offer isolated

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23:02

MAGA: MAssive Genre-Audience Reformulation to...

Daily Paper Cast ·

2025/02/08

🤗 Upvotes: 13 | cs.CL Authors: Xintong Hao, Ke Shen, Chenggang Li Title: MAGA: MAssive Genre-Audience Reformulation to Pretraining Corpus Expansion Arxiv: http://arxiv.org/abs/2502.04235v1 Abstract: Despite the remarkable capabilities of large language models across various tasks, their continued scaling faces a critical challenge: the scarcity of high-quality pretraining data

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20:37

ScoreFlow: Mastering LLM Agent Workflows via...

Daily Paper Cast ·

2025/02/08

🤗 Upvotes: 12 | cs.CL Authors: Yinjie Wang, Ling Yang, Guohao Li, Mengdi Wang, Bryon Aragam Title: ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Arxiv: http://arxiv.org/abs/2502.04306v1 Abstract: Recent research has leveraged large language model multi-agent systems for complex problem-solving while trying to reduce the manual effort required

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22:31

Llasa: Scaling Train-Time and Inference-Time Compute...

Daily Paper Cast ·

2025/02/08

🤗 Upvotes: 10 | eess.AS, cs.AI, cs.CL, cs.MM, cs.SD Authors: Zhen Ye, Xinfa Zhu, Chi-Min Chan, Xinsheng Wang, Xu Tan, Jiahe Lei, Yi Peng, Haohe Liu, Yizhu Jin, Zheqi DAI, Hongzhan Lin, Jianyi Chen, Xingjian Du, Liumeng Xue, Yunlin Chen, Zhifei Li, Lei Xie, Qiuqiang Kong, Yike Guo, Wei Xue Title: Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis Arxiv:

en

21:44

SmolLM2: When Smol Goes Big -- Data-Centric Training...

Daily Paper Cast ·

2025/02/07

🤗 Upvotes: 90 | cs.CLAuthors: Loubna Ben Allal, Anton Lozhkov, Elie Bakouch, Gabriel Martín Blázquez, Guilherme Penedo, Lewis Tunstall, Andrés Marafioti, Hynek Kydlíček, Agustín Piqueres Lajarín, Vaibhav Srivastav, Joshua Lochner, Caleb Fahlgren, Xuan-Son Nguyen, Clémentine Fourrier, Ben Burtenshaw, Hugo Larcher, Haojun Zhao, Cyril Zakka, Mathieu Morlon, Colin Raffel, Leandro von Werra, Thomas Wolf Title: SmolLM2: When Smol

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23:16

TwinMarket: A Scalable Behavioral and Social...

Daily Paper Cast ·

2025/02/07

🤗 Upvotes: 27 | cs.CE, cs.CY Authors: Yuzhe Yang, Yifei Zhang, Minghao Wu, Kaidi Zhang, Yunmiao Zhang, Honghai Yu, Yan Hu, Benyou Wang Title: TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets Arxiv: http://arxiv.org/abs/2502.01506v2 Abstract: The study of social emergence has long been a central focus in social science. Traditional modeling

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20:57

Demystifying Long Chain-of-Thought Reasoning in LLMs

Daily Paper Cast ·

2025/02/07

🤗 Upvotes: 26 | cs.CL, cs.LG Authors: Edward Yeo, Yuxuan Tong, Morry Niu, Graham Neubig, Xiang Yue Title: Demystifying Long Chain-of-Thought Reasoning in LLMs Arxiv: http://arxiv.org/abs/2502.03373v1 Abstract: Scaling inference compute enhances reasoning in large language models (LLMs), with long chains-of-thought (CoTs) enabling strategies like backtracking and error

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23:37

LIMO: Less is More for Reasoning

Daily Paper Cast ·

2025/02/07

🤗 Upvotes: 24 | cs.CL, cs.AI Authors: Yixin Ye, Zhen Huang, Yang Xiao, Ethan Chern, Shijie Xia, Pengfei Liu Title: LIMO: Less is More for Reasoning Arxiv: http://arxiv.org/abs/2502.03387v1 Abstract: We present a fundamental discovery that challenges our understanding of how complex reasoning emerges in large language models. While conventional wisdom suggests that sophisticated

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21:44

Boosting Multimodal Reasoning with MCTS-Automated...

Daily Paper Cast ·

2025/02/07

🤗 Upvotes: 10 | cs.CL Authors: Jinyang Wu, Mingkuan Feng, Shuai Zhang, Ruihan Jin, Feihu Che, Zengqi Wen, Jianhua Tao Title: Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking Arxiv: http://arxiv.org/abs/2502.02339v1 Abstract: Multimodal large language models (MLLMs) exhibit impressive capabilities but still face challenges in complex visual reasoning. While

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25:33

LayerTracer: Cognitive-Aligned Layered SVG Synthesis...

Daily Paper Cast ·

2025/02/07

🤗 Upvotes: 7 | cs.CV Authors: Yiren Song, Danze Chen, Mike Zheng Shou Title: LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer Arxiv: http://arxiv.org/abs/2502.01105v1 Abstract: Generating cognitive-aligned layered SVGs remains challenging due to existing methods' tendencies toward either oversimplified single-layer outputs or optimization-induced

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21:01

On Teacher Hacking in Language Model Distillation

Daily Paper Cast ·

2025/02/07

🤗 Upvotes: 6 | cs.LG, cs.AI, cs.CL, stat.ML Authors: Daniil Tiapkin, Daniele Calandriello, Johan Ferret, Sarah Perrin, Nino Vieillard, Alexandre Ramé, Mathieu Blondel Title: On Teacher Hacking in Language Model Distillation Arxiv: http://arxiv.org/abs/2502.02671v1 Abstract: Post-training of language models (LMs) increasingly relies on the following two stages: (i) knowledge

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24:05

A Probabilistic Inference Approach to Inference-Time...

Daily Paper Cast ·

2025/02/07

🤗 Upvotes: 5 | cs.LG, cs.AI Authors: Isha Puri, Shivchander Sudalairaj, Guangxuan Xu, Kai Xu, Akash Srivastava Title: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods Arxiv: http://arxiv.org/abs/2502.01618v2 Abstract: Large language models (LLMs) have achieved significant performance gains via scaling up model sizes

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20:08

Jailbreaking with Universal Multi-Prompts

Daily Paper Cast ·

2025/02/07

🤗 Upvotes: 4 | cs.CL, cs.AI, cs.CR, cs.LG Authors: Yu-Ling Hsu, Hsuan Su, Shang-Tse Chen Title: Jailbreaking with Universal Multi-Prompts Arxiv: http://arxiv.org/abs/2502.01154v1 Abstract: Large language models (LLMs) have seen rapid development in recent years, revolutionizing various applications and significantly enhancing convenience and productivity. However, alongside

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19:27

VideoJAM: Joint Appearance-Motion Representations for...

Daily Paper Cast ·

2025/02/06

🤗 Upvotes: 29 | cs.CVAuthors: Hila Chefer, Uriel Singer, Amit Zohar, Yuval Kirstain, Adam Polyak, Yaniv Taigman, Lior Wolf, Shelly Sheynin Title: VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Arxiv: http://arxiv.org/abs/2502.02492v1 Abstract: Despite tremendous recent progress, generative video models still struggle to capture

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19:48

Inverse Bridge Matching Distillation

Daily Paper Cast ·

2025/02/06

🤗 Upvotes: 22 | cs.LG, cs.CV Authors: Nikita Gushchin, David Li, Daniil Selikhanovych, Evgeny Burnaev, Dmitry Baranchuk, Alexander Korotin Title: Inverse Bridge Matching Distillation Arxiv: http://arxiv.org/abs/2502.01362v1 Abstract: Learning diffusion bridge models is easy; making them fast and practical is an art. Diffusion bridge models (DBMs) are a promising extension of

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20:06

ACECODER: Acing Coder RL via Automated Test-Case...

Daily Paper Cast ·

2025/02/06

🤗 Upvotes: 16 | cs.SE, cs.AI, cs.CL Authors: Huaye Zeng, Dongfu Jiang, Haozhe Wang, Ping Nie, Xiaotong Chen, Wenhu Chen Title: ACECODER: Acing Coder RL via Automated Test-Case Synthesis Arxiv: http://arxiv.org/abs/2502.01718v1 Abstract: Most progress in recent coder models has been driven by supervised fine-tuning (SFT), while the potential of reinforcement learning (RL) remains

en

1,967 results

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