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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

22:41

CLIMB: CLustering-based Iterative Data Mixture...

Daily Paper Cast ·

2025/04/19

🤗 Upvotes: 69 | cs.CLAuthors: Shizhe Diao, Yu Yang, Yonggan Fu, Xin Dong, Dan Su, Markus Kliegl, Zijia Chen, Peter Belcak, Yoshi Suhara, Hongxu Yin, Mostofa Patwary, Yingyan, Lin, Jan Kautz, Pavlo Molchanov Title: CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training Arxiv: http://arxiv.org/abs/2504.13161v1 Abstract: Pre-training datasets

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18:20

Antidistillation Sampling

Daily Paper Cast ·

2025/04/19

🤗 Upvotes: 52 | cs.AI, cs.CL Authors: Yash Savani, Asher Trockman, Zhili Feng, Avi Schwarzschild, Alexander Robey, Marc Finzi, J. Zico Kolter Title: Antidistillation Sampling Arxiv: http://arxiv.org/abs/2504.13146v1 Abstract: Frontier models that generate extended reasoning traces inadvertently produce rich token sequences that can facilitate model distillation. Recognizing this

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20:18

Generate, but Verify: Reducing Hallucination in...

Daily Paper Cast ·

2025/04/19

🤗 Upvotes: 28 | cs.CV Authors: Tsung-Han Wu, Heekyung Lee, Jiaxin Ge, Joseph E. Gonzalez, Trevor Darrell, David M. Chan Title: Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling Arxiv: http://arxiv.org/abs/2504.13169v1 Abstract: Vision-Language Models (VLMs) excel at visual understanding but often suffer from visual

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24:12

Packing Input Frame Context in Next-Frame Prediction...

Daily Paper Cast ·

2025/04/19

🤗 Upvotes: 24 | cs.CV Authors: Lvmin Zhang, Maneesh Agrawala Title: Packing Input Frame Context in Next-Frame Prediction Models for Video Generation Arxiv: http://arxiv.org/abs/2504.12626v1 Abstract: We present a neural network structure, FramePack, to train next-frame (or next-frame-section) prediction models for video generation. The FramePack compresses input frames to make

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22:27

WORLDMEM: Long-term Consistent World Simulation with...

Daily Paper Cast ·

2025/04/19

🤗 Upvotes: 23 | cs.CV Authors: Zeqi Xiao, Yushi Lan, Yifan Zhou, Wenqi Ouyang, Shuai Yang, Yanhong Zeng, Xingang Pan Title: WORLDMEM: Long-term Consistent World Simulation with Memory Arxiv: http://arxiv.org/abs/2504.12369v1 Abstract: World simulation has gained increasing popularity due to its ability to model virtual environments and predict the consequences of actions

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23:36

A Strategic Coordination Framework of Small LLMs...

Daily Paper Cast ·

2025/04/19

🤗 Upvotes: 23 | cs.CL, cs.AI, cs.LG Authors: Xin Gao, Qizhi Pei, Zinan Tang, Yu Li, Honglin Lin, Jiang Wu, Conghui He, Lijun Wu Title: A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis Arxiv: http://arxiv.org/abs/2504.12322v1 Abstract: While data synthesis and distillation are promising strategies to enhance small language models, current

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22:18

ColorBench: Can VLMs See and Understand the Colorful...

Daily Paper Cast ·

2025/04/18

🤗 Upvotes: 35 | cs.CV, cs.AI, cs.CL, cs.LGAuthors: Yijun Liang, Ming Li, Chenrui Fan, Ziyue Li, Dang Nguyen, Kwesi Cobbina, Shweta Bhardwaj, Jiuhai Chen, Fuxiao Liu, Tianyi Zhou Title: ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness Arxiv: http://arxiv.org/abs/2504.10514v1 Abstract: Color

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19:43

BitNet b1.58 2B4T Technical Report

Daily Paper Cast ·

2025/04/18

🤗 Upvotes: 35 | cs.CL, cs.LG Authors: Shuming Ma, Hongyu Wang, Shaohan Huang, Xingxing Zhang, Ying Hu, Ting Song, Yan Xia, Furu Wei Title: BitNet b1.58 2B4T Technical Report Arxiv: http://arxiv.org/abs/2504.12285v1 Abstract: We introduce BitNet b1.58 2B4T, the first open-source, native 1-bit Large Language Model (LLM) at the 2-billion parameter scale. Trained on a corpus of 4

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23:19

ReTool: Reinforcement Learning for Strategic Tool Use...

Daily Paper Cast ·

2025/04/18

🤗 Upvotes: 27 | cs.CL, cs.AI Authors: Jiazhan Feng, Shijue Huang, Xingwei Qu, Ge Zhang, Yujia Qin, Baoquan Zhong, Chengquan Jiang, Jinxin Chi, Wanjun Zhong Title: ReTool: Reinforcement Learning for Strategic Tool Use in LLMs Arxiv: http://arxiv.org/abs/2504.11536v2 Abstract: While reasoning models (e.g., DeepSeek R1) trained with reinforcement learning (RL), excel in textual

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21:56

xVerify: Efficient Answer Verifier for Reasoning...

Daily Paper Cast ·

2025/04/17

🤗 Upvotes: 63 | cs.CLAuthors: Ding Chen, Qingchen Yu, Pengyuan Wang, Wentao Zhang, Bo Tang, Feiyu Xiong, Xinchi Li, Minchuan Yang, Zhiyu Li Title: xVerify: Efficient Answer Verifier for Reasoning Model Evaluations Arxiv: http://arxiv.org/abs/2504.10481v1 Abstract: With the release of the o1 model by OpenAI, reasoning models adopting slow thinking strategies have gradually

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20:14

Genius: A Generalizable and Purely Unsupervised...

Daily Paper Cast ·

2025/04/17

🤗 Upvotes: 41 | cs.CL, cs.AI, cs.LG Authors: Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Qiushi Sun, Kanzhi Cheng, Junxian He, Jun Liu, Zhiyong Wu Title: Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning Arxiv: http://arxiv.org/abs/2504.08672v1 Abstract: Advancing LLM reasoning skills has captivated wide interest. However, current

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22:09

How Instruction and Reasoning Data shape...

Daily Paper Cast ·

2025/04/17

🤗 Upvotes: 30 | cs.LG, cs.AI, cs.CL Authors: Ming Li, Yanhong Li, Ziyue Li, Tianyi Zhou Title: How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients Arxiv: http://arxiv.org/abs/2504.10766v1 Abstract: As the post-training of large language models (LLMs) advances from instruction-following to complex reasoning tasks,

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19:59

Heimdall: test-time scaling on the generative...

Daily Paper Cast ·

2025/04/17

🤗 Upvotes: 28 | cs.AI, I.2.7 Authors: Wenlei Shi, Xing Jin Title: Heimdall: test-time scaling on the generative verification Arxiv: http://arxiv.org/abs/2504.10337v2 Abstract: An AI system can create and maintain knowledge only to the extent that it can verify that knowledge itself. Recent work on long Chain-of-Thought reasoning has demonstrated great potential of LLMs on

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20:48

Pixel-SAIL: Single Transformer For Pixel-Grounded...

Daily Paper Cast ·

2025/04/17

🤗 Upvotes: 23 | cs.CV Authors: Tao Zhang, Xiangtai Li, Zilong Huang, Yanwei Li, Weixian Lei, Xueqing Deng, Shihao Chen, Shunping Ji, Jiashi Feng Title: Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding Arxiv: http://arxiv.org/abs/2504.10465v1 Abstract: Multimodal Large Language Models (MLLMs) achieve remarkable performance for fine-grained pixel-level understanding

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22:23

TextArena

Daily Paper Cast ·

2025/04/17

🤗 Upvotes: 21 | cs.CL, cs.AI, cs.LG, cs.MA Authors: Leon Guertler, Bobby Cheng, Simon Yu, Bo Liu, Leshem Choshen, Cheston Tan Title: TextArena Arxiv: http://arxiv.org/abs/2504.11442v1 Abstract: TextArena is an open-source collection of competitive text-based games for training and evaluation of agentic behavior in Large Language Models (LLMs). It spans 57+ unique environments

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22:48

InternVL3: Exploring Advanced Training and Test-Time...

Daily Paper Cast ·

2025/04/16

🤗 Upvotes: 172 | cs.CVAuthors: Jinguo Zhu, Weiyun Wang, Zhe Chen, Zhaoyang Liu, Shenglong Ye, Lixin Gu, Yuchen Duan, Hao Tian, Weijie Su, Jie Shao, Zhangwei Gao, Erfei Cui, Yue Cao, Yangzhou Liu, Xingguang Wei, Hongjie Zhang, Haomin Wang, Weiye Xu, Hao Li, Jiahao Wang, Dengnian Chen, Songze Li, Yinan He, Tan Jiang, Jiapeng Luo, Yi Wang, Conghui He, Botian Shi, Xingcheng Zhang, Wenqi Shao, Junjun He, Yingtong Xiong, Wenwen Qu, Peng Sun, Penglong Jiao,

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23:55

PRIMA.CPP: Speeding Up 70B-Scale LLM Inference on...

Daily Paper Cast ·

2025/04/16

🤗 Upvotes: 95 | cs.DC, cs.AI, 68T50, I.2.7; I.2.11 Authors: Zonghang Li, Tao Li, Wenjiao Feng, Mohsen Guizani, Hongfang Yu Title: PRIMA.CPP: Speeding Up 70B-Scale LLM Inference on Low-Resource Everyday Home Clusters Arxiv: http://arxiv.org/abs/2504.08791v1 Abstract: Emergency of DeepSeek R1 and QwQ 32B have broken through performance barriers for running frontier large language

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20:43

VL-Rethinker: Incentivizing Self-Reflection of...

Daily Paper Cast ·

2025/04/16

🤗 Upvotes: 36 | cs.LG, cs.AI Authors: Haozhe Wang, Chao Qu, Zuming Huang, Wei Chu, Fangzhen Lin, Wenhu Chen Title: VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning Arxiv: http://arxiv.org/abs/2504.08837v1 Abstract: Recently, slow-thinking systems like GPT-o1 and DeepSeek-R1 have demonstrated great potential in solving challenging

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20:26

FUSION: Fully Integration of Vision-Language...

Daily Paper Cast ·

2025/04/16

🤗 Upvotes: 35 | cs.CV Authors: Zheng Liu, Mengjie Liu, Jingzhou Chen, Jingwei Xu, Bin Cui, Conghui He, Wentao Zhang Title: FUSION: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding Arxiv: http://arxiv.org/abs/2504.09925v1 Abstract: We introduce FUSION, a family of multimodal large language models (MLLMs) with a fully vision-language

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20:08

Iterative Self-Training for Code Generation via...

Daily Paper Cast ·

2025/04/16

🤗 Upvotes: 29 | cs.CL, cs.IR, cs.SE Authors: Nikita Sorokin, Ivan Sedykh, Valentin Malykh Title: Iterative Self-Training for Code Generation via Reinforced Re-Ranking Arxiv: http://arxiv.org/abs/2504.09643v1 Abstract: Generating high-quality code that solves complex programming tasks is challenging, especially with current decoder-based models that produce highly stochastic

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2,195 results

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