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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

22:15

The Bitter Lesson Learned from 2,000+ Multilingual...

Daily Paper Cast ·

2025/04/24

🤗 Upvotes: 51 | cs.CL Authors: Minghao Wu, Weixuan Wang, Sinuo Liu, Huifeng Yin, Xintong Wang, Yu Zhao, Chenyang Lyu, Longyue Wang, Weihua Luo, Kaifu Zhang Title: The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks Arxiv: http://arxiv.org/abs/2504.15521v1 Abstract: As large language models (LLMs) continue to advance in linguistic capabilities, robust multilingual

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24:12

Describe Anything: Detailed Localized Image and Video...

Daily Paper Cast ·

2025/04/24

🤗 Upvotes: 42 | cs.CV, cs.AI Authors: Long Lian, Yifan Ding, Yunhao Ge, Sifei Liu, Hanzi Mao, Boyi Li, Marco Pavone, Ming-Yu Liu, Trevor Darrell, Adam Yala, Yin Cui Title: Describe Anything: Detailed Localized Image and Video Captioning Arxiv: http://arxiv.org/abs/2504.16072v1 Abstract: Generating detailed and accurate descriptions for specific regions in images and videos

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21:02

Learning Adaptive Parallel Reasoning with Language...

Daily Paper Cast ·

2025/04/24

🤗 Upvotes: 35 | cs.AI, cs.CL Authors: Jiayi Pan, Xiuyu Li, Long Lian, Charlie Snell, Yifei Zhou, Adam Yala, Trevor Darrell, Kurt Keutzer, Alane Suhr Title: Learning Adaptive Parallel Reasoning with Language Models Arxiv: http://arxiv.org/abs/2504.15466v1 Abstract: Scaling inference-time computation has substantially improved the reasoning capabilities of language models

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22:05

Learning to Reason under Off-Policy Guidance

Daily Paper Cast ·

2025/04/23

🤗 Upvotes: 59 | cs.LG, cs.AI, cs.CLAuthors: Jianhao Yan, Yafu Li, Zican Hu, Zhi Wang, Ganqu Cui, Xiaoye Qu, Yu Cheng, Yue Zhang Title: Learning to Reason under Off-Policy Guidance Arxiv: http://arxiv.org/abs/2504.14945v2 Abstract: Recent advances in large reasoning models (LRMs) demonstrate that sophisticated behaviors such as multi-step reasoning and self-reflection can emerge

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20:26

Eagle 2.5: Boosting Long-Context Post-Training for...

Daily Paper Cast ·

2025/04/23

🤗 Upvotes: 50 | cs.CV Authors: Guo Chen, Zhiqi Li, Shihao Wang, Jindong Jiang, Yicheng Liu, Lidong Lu, De-An Huang, Wonmin Byeon, Matthieu Le, Tuomas Rintamaki, Tyler Poon, Max Ehrlich, Tuomas Rintamaki, Tyler Poon, Tong Lu, Limin Wang, Bryan Catanzaro, Jan Kautz, Andrew Tao, Zhiding Yu, Guilin Liu Title: Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models Arxiv:

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18:14

FlowReasoner: Reinforcing Query-Level Meta-Agents

Daily Paper Cast ·

2025/04/23

🤗 Upvotes: 36 | cs.AI Authors: Hongcheng Gao, Yue Liu, Yufei He, Longxu Dou, Chao Du, Zhijie Deng, Bryan Hooi, Min Lin, Tianyu Pang Title: FlowReasoner: Reinforcing Query-Level Meta-Agents Arxiv: http://arxiv.org/abs/2504.15257v1 Abstract: This paper proposes a query-level meta-agent named FlowReasoner to automate the design of query-level multi-agent systems, i.e., one system

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23:56

ToolRL: Reward is All Tool Learning Needs

Daily Paper Cast ·

2025/04/23

🤗 Upvotes: 33 | cs.LG, cs.AI, cs.CL Authors: Cheng Qian, Emre Can Acikgoz, Qi He, Hongru Wang, Xiusi Chen, Dilek Hakkani-Tür, Gokhan Tur, Heng Ji Title: ToolRL: Reward is All Tool Learning Needs Arxiv: http://arxiv.org/abs/2504.13958v1 Abstract: Current Large Language Models (LLMs) often undergo supervised fine-tuning (SFT) to acquire tool use capabilities. However, SFT

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20:58

X-Teaming: Multi-Turn Jailbreaks and Defenses with...

Daily Paper Cast ·

2025/04/23

🤗 Upvotes: 25 | cs.CR, cs.AI, cs.CL, cs.LG, cs.MA Authors: Salman Rahman, Liwei Jiang, James Shiffer, Genglin Liu, Sheriff Issaka, Md Rizwan Parvez, Hamid Palangi, Kai-Wei Chang, Yejin Choi, Saadia Gabriel Title: X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents Arxiv: http://arxiv.org/abs/2504.13203v1 Abstract: Multi-turn interactions with language models

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23:17

StyleMe3D: Stylization with Disentangled Priors by...

Daily Paper Cast ·

2025/04/23

🤗 Upvotes: 21 | cs.CV Authors: Cailin Zhuang, Yaoqi Hu, Xuanyang Zhang, Wei Cheng, Jiacheng Bao, Shengqi Liu, Yiying Yang, Xianfang Zeng, Gang Yu, Ming Li Title: StyleMe3D: Stylization with Disentangled Priors by Multiple Encoders on 3D Gaussians Arxiv: http://arxiv.org/abs/2504.15281v1 Abstract: 3D Gaussian Splatting (3DGS) excels in photorealistic scene reconstruction but

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21:48

Does Reinforcement Learning Really Incentivize...

Daily Paper Cast ·

2025/04/22

🤗 Upvotes: 64 | cs.AI, cs.CL, cs.CV Authors: Yang Yue, Zhiqi Chen, Rui Lu, Andrew Zhao, Zhaokai Wang, Yang Yue, Shiji Song, Gao Huang Title: Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? Arxiv: http://arxiv.org/abs/2504.13837v1 Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has recently demonstrated notable

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19:22

MIG: Automatic Data Selection for Instruction Tuning...

Daily Paper Cast ·

2025/04/22

🤗 Upvotes: 31 | cs.CL, cs.AI Authors: Yicheng Chen, Yining Li, Kai Hu, Zerun Ma, Haochen Ye, Kai Chen Title: MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Arxiv: http://arxiv.org/abs/2504.13835v1 Abstract: Data quality and diversity are key to the construction of effective instruction-tuning datasets. % With the increasing

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20:42

NodeRAG: Structuring Graph-based RAG with...

Daily Paper Cast ·

2025/04/22

🤗 Upvotes: 30 | cs.AI Authors: Tianyang Xu, Haojie Zheng, Chengze Li, Haoxiang Chen, Yixin Liu, Ruoxi Chen, Lichao Sun Title: NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes Arxiv: http://arxiv.org/abs/2504.11544v1 Abstract: Retrieval-augmented generation (RAG) empowers large language models to access external and private corpus, enabling factually consistent

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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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1,967 results

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