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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

24:12

DeepSearch: Overcome the Bottleneck of Reinforcement...

Daily Paper Cast ·

2025/10/03

🤗 Upvotes: 100 | cs.AI, cs.CLAuthors: Fang Wu, Weihao Xuan, Heli Qi, Ximing Lu, Aaron Tu, Li Erran Li, Yejin Choi Title: DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search Arxiv: http://arxiv.org/abs/2509.25454v2 Abstract: Although RLVR has become an essential component for developing advanced reasoning skills in

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25:53

GEM: A Gym for Agentic LLMs

Daily Paper Cast ·

2025/10/03

🤗 Upvotes: 53 | cs.LG, cs.AI, cs.CL Authors: Zichen Liu, Anya Sims, Keyu Duan, Changyu Chen, Simon Yu, Xiangxin Zhou, Haotian Xu, Shaopan Xiong, Bo Liu, Chenmien Tan, Chuen Yang Beh, Weixun Wang, Hao Zhu, Weiyan Shi, Diyi Yang, Michael Shieh, Yee Whye Teh, Wee Sun Lee, Min Lin Title: GEM: A Gym for Agentic LLMs Arxiv: http://arxiv.org/abs/2510.01051v1 Abstract: The training

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26:50

VLA-RFT: Vision-Language-Action Reinforcement...

Daily Paper Cast ·

2025/10/03

🤗 Upvotes: 52 | cs.RO, cs.CV Authors: Hengtao Li, Pengxiang Ding, Runze Suo, Yihao Wang, Zirui Ge, Dongyuan Zang, Kexian Yu, Mingyang Sun, Hongyin Zhang, Donglin Wang, Weihua Su Title: VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators Arxiv: http://arxiv.org/abs/2510.00406v1 Abstract: Vision-Language-Action (VLA) models enable

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24:50

Knapsack RL: Unlocking Exploration of LLMs via...

Daily Paper Cast ·

2025/10/03

🤗 Upvotes: 32 | cs.LG, cs.AI, cs.CL Authors: Ziniu Li, Congliang Chen, Tianyun Yang, Tian Ding, Ruoyu Sun, Ge Zhang, Wenhao Huang, Zhi-Quan Luo Title: Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation Arxiv: http://arxiv.org/abs/2509.25849v1 Abstract: Large Language Models (LLMs) can self-improve through reinforcement learning, where they generate

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20:19

PIPer: On-Device Environment Setup via Online...

Daily Paper Cast ·

2025/10/03

🤗 Upvotes: 26 | cs.SE, cs.AI, cs.LG Authors: Alexander Kovrigin, Aleksandra Eliseeva, Konstantin Grotov, Egor Bogomolov, Yaroslav Zharov Title: PIPer: On-Device Environment Setup via Online Reinforcement Learning Arxiv: http://arxiv.org/abs/2509.25455v1 Abstract: Environment setup-the process of configuring the system to work with a specific software project-represents a

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24:05

SINQ: Sinkhorn-Normalized Quantization for...

Daily Paper Cast ·

2025/10/03

🤗 Upvotes: 25 | cs.LG Authors: Lorenz K. Müller, Philippe Bich, Jiawei Zhuang, Ahmet Çelik, Luca Benfenati, Lukas Cavigelli Title: SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights Arxiv: http://arxiv.org/abs/2509.22944v2 Abstract: Post-training quantization has emerged as the most widely used strategy for deploying large language models at

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25:16

ACON: Optimizing Context Compression for Long-horizon...

Daily Paper Cast ·

2025/10/03

🤗 Upvotes: 21 | cs.AI, cs.CL Authors: Minki Kang, Wei-Ning Chen, Dongge Han, Huseyin A. Inan, Lukas Wutschitz, Yanzhi Chen, Robert Sim, Saravan Rajmohan Title: ACON: Optimizing Context Compression for Long-horizon LLM Agents Arxiv: http://arxiv.org/abs/2510.00615v1 Abstract: Large language models (LLMs) are increasingly deployed as agents in dynamic, real-world environments,

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25:16

MCPMark: A Benchmark for Stress-Testing Realistic and...

Daily Paper Cast ·

2025/10/02

🤗 Upvotes: 124 | cs.CL, cs.AIAuthors: Zijian Wu, Xiangyan Liu, Xinyuan Zhang, Lingjun Chen, Fanqing Meng, Lingxiao Du, Yiran Zhao, Fanshi Zhang, Yaoqi Ye, Jiawei Wang, Zirui Wang, Jinjie Ni, Yufan Yang, Arvin Xu, Michael Qizhe Shieh Title: MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use Arxiv: http://arxiv.org/abs/2509.24002v1 Abstract: MCP

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23:40

The Dragon Hatchling: The Missing Link between the...

Daily Paper Cast ·

2025/10/02

🤗 Upvotes: 106 | cs.NE, cs.AI, cs.LG, stat.ML Authors: Adrian Kosowski, Przemysław Uznański, Jan Chorowski, Zuzanna Stamirowska, Michał Bartoszkiewicz Title: The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain Arxiv: http://arxiv.org/abs/2509.26507v1 Abstract: The relationship between computing systems and the brain has served as motivation for

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29:09

Vision-Zero: Scalable VLM Self-Improvement via...

Daily Paper Cast ·

2025/10/02

🤗 Upvotes: 103 | cs.CV, cs.AI Authors: Qinsi Wang, Bo Liu, Tianyi Zhou, Jing Shi, Yueqian Lin, Yiran Chen, Hai Helen Li, Kun Wan, Wentian Zhao Title: Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play Arxiv: http://arxiv.org/abs/2509.25541v1 Abstract: Although reinforcement learning (RL) can effectively enhance the reasoning capabilities of

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20:04

Winning the Pruning Gamble: A Unified Approach to...

Daily Paper Cast ·

2025/10/02

🤗 Upvotes: 57 | cs.CL Authors: Shaobo Wang, Jiaming Wang, Jiajun Zhang, Cong Wang, Yue Min, Zichen Wen, Fei Huang, Huiqiang Jiang, Junyang Lin, Dayiheng Liu, Linfeng Zhang Title: Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning Arxiv: http://arxiv.org/abs/2509.23873v1 Abstract: As supervised fine-tuning (SFT)

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24:43

TruthRL: Incentivizing Truthful LLMs via...

Daily Paper Cast ·

2025/10/02

🤗 Upvotes: 45 | cs.CL, cs.AI, cs.LG Authors: Zhepei Wei, Xiao Yang, Kai Sun, Jiaqi Wang, Rulin Shao, Sean Chen, Mohammad Kachuee, Teja Gollapudi, Tony Liao, Nicolas Scheffer, Rakesh Wanga, Anuj Kumar, Yu Meng, Wen-tau Yih, Xin Luna Dong Title: TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning Arxiv: http://arxiv.org/abs/2509.25760v1 Abstract: While large language

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27:25

Learning to See Before Seeing: Demystifying LLM...

Daily Paper Cast ·

2025/10/02

🤗 Upvotes: 36 | cs.LG, cs.AI, cs.CV, cs.MM Authors: Junlin Han, Shengbang Tong, David Fan, Yufan Ren, Koustuv Sinha, Philip Torr, Filippos Kokkinos Title: Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training Arxiv: http://arxiv.org/abs/2509.26625v1 Abstract: Large Language Models (LLMs), despite being trained on text alone, surprisingly

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22:22

OceanGym: A Benchmark Environment for Underwater...

Daily Paper Cast ·

2025/10/02

🤗 Upvotes: 30 | cs.CL, cs.AI, cs.CV, cs.LG, cs.RO Authors: Yida Xue, Mingjun Mao, Xiangyuan Ru, Yuqi Zhu, Baochang Ren, Shuofei Qiao, Mengru Wang, Shumin Deng, Xinyu An, Ningyu Zhang, Ying Chen, Huajun Chen Title: OceanGym: A Benchmark Environment for Underwater Embodied Agents Arxiv: http://arxiv.org/abs/2509.26536v1 Abstract: We introduce OceanGym, the first comprehensive

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24:35

More Thought, Less Accuracy? On the Dual Nature of...

Daily Paper Cast ·

2025/10/02

🤗 Upvotes: 29 | cs.CV, cs.AI Authors: Xinyu Tian, Shu Zou, Zhaoyuan Yang, Mengqi He, Fabian Waschkowski, Lukas Wesemann, Peter Tu, Jing Zhang Title: More Thought, Less Accuracy? On the Dual Nature of Reasoning in Vision-Language Models Arxiv: http://arxiv.org/abs/2509.25848v1 Abstract: Reasoning has emerged as a pivotal capability in Large Language Models (LLMs). Through

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23:19

Thinking-Free Policy Initialization Makes Distilled...

Daily Paper Cast ·

2025/10/02

🤗 Upvotes: 26 | cs.LG, cs.CL Authors: Xin Xu, Cliveb AI, Kai Yang, Tianhao Chen, Yang Wang, Saiyong Yang, Can Yang Title: Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners Arxiv: http://arxiv.org/abs/2509.26226v1 Abstract: Reinforcement Learning with Verifiable Reward (RLVR) effectively solves complex tasks but demands

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25:33

DC-VideoGen: Efficient Video Generation with Deep...

Daily Paper Cast ·

2025/10/02

🤗 Upvotes: 26 | cs.CV, cs.AI Authors: Junyu Chen, Wenkun He, Yuchao Gu, Yuyang Zhao, Jincheng Yu, Junsong Chen, Dongyun Zou, Yujun Lin, Zhekai Zhang, Muyang Li, Haocheng Xi, Ligeng Zhu, Enze Xie, Song Han, Han Cai Title: DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder Arxiv: http://arxiv.org/abs/2509.25182v1 Abstract: We introduce DC-VideoGen, a

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24:35

SLA: Beyond Sparsity in Diffusion Transformers via...

Daily Paper Cast ·

2025/10/01

🤗 Upvotes: 98 | cs.LG, cs.AI, cs.CVAuthors: Jintao Zhang, Haoxu Wang, Kai Jiang, Shuo Yang, Kaiwen Zheng, Haocheng Xi, Ziteng Wang, Hongzhou Zhu, Min Zhao, Ion Stoica, Joseph E. Gonzalez, Jun Zhu, Jianfei Chen Title: SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention Arxiv: http://arxiv.org/abs/2509.24006v1 Abstract: In Diffusion Transformer

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21:00

StableToken: A Noise-Robust Semantic Speech Tokenizer...

Daily Paper Cast ·

2025/10/01

🤗 Upvotes: 58 | cs.CL Authors: Yuhan Song, Linhao Zhang, Chuhan Wu, Aiwei Liu, Wei Jia, Houfeng Wang, Xiao Zhou Title: StableToken: A Noise-Robust Semantic Speech Tokenizer for Resilient SpeechLLMs Arxiv: http://arxiv.org/abs/2509.22220v1 Abstract: Prevalent semantic speech tokenizers, designed to capture linguistic content, are surprisingly fragile. We find they are not robust

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26:13

Multiplayer Nash Preference Optimization

Daily Paper Cast ·

2025/10/01

🤗 Upvotes: 52 | cs.AI, cs.CL Authors: Fang Wu, Xu Huang, Weihao Xuan, Zhiwei Zhang, Yijia Xiao, Guancheng Wan, Xiaomin Li, Bing Hu, Peng Xia, Jure Leskovec, Yejin Choi Title: Multiplayer Nash Preference Optimization Arxiv: http://arxiv.org/abs/2509.23102v1 Abstract: Reinforcement learning from human feedback (RLHF) has emerged as the standard paradigm for aligning large language

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1,361 results

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