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Daily Paper Cast

Jingwen Liang, Gengyu Wangβ€’dailypapercast.transistor.fm
We publish 10 episodes every day to discuss 10 AI research papers. Both the podcast scripts and audio are generated by AI. The 10 papers are selected from the highest-voted ones on Huggingface Daily Paper (https://huggingface.co/papers). 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, NLP, http://wanggengyu.com Listen on: Spotify: https://open.spotify.com/show/21nrhmdaA8qoBiH8q03NXL Apple Podcast: https://podcasts.apple.com/us/podcast/daily-paper-cast/id1777620236 Cover Image by Kawen Kuang https://kawen.art
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Episodes

OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion

πŸ€— Upvotes: 45 | cs.CV Authors: Yunhan Yang, Yufan Zhou, Yuan-Chen Guo, Zi-Xin Zou, Yukun Huang, Ying-Tian Liu, Hao Xu, Ding Liang, Yan-Pei Cao, Xihui Liu Title: OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion Arxiv: http://arxiv.org/abs/2507.06165v1 Abstract: The creation of 3D assets with explicit, editable part structures is crucial for advancing interactive applications, yet most generative methods produce only monolithic shapes, limiting their utility. We...

Jul 10, 2025β€’24 minβ€’Ep. 951

How to Train Your LLM Web Agent: A Statistical Diagnosis

πŸ€— Upvotes: 40 | cs.AI, cs.LG, stat.ML Authors: Dheeraj Vattikonda, Santhoshi Ravichandran, Emiliano Penaloza, Hadi Nekoei, Megh Thakkar, Thibault Le Sellier de Chezelles, Nicolas Gontier, Miguel MuΓ±oz-MΓ‘rmol, Sahar Omidi Shayegan, Stefania Raimondo, Xue Liu, Alexandre Drouin, Laurent Charlin, Alexandre PichΓ©, Alexandre Lacoste, Massimo Caccia Title: How to Train Your LLM Web Agent: A Statistical Diagnosis Arxiv: http://arxiv.org/abs/2507.04103v1 Abstract: LLM-based web agents have recently made...

Jul 10, 2025β€’23 minβ€’Ep. 950

StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling

πŸ€— Upvotes: 35 | cs.RO, cs.CV Authors: Meng Wei, Chenyang Wan, Xiqian Yu, Tai Wang, Yuqiang Yang, Xiaohan Mao, Chenming Zhu, Wenzhe Cai, Hanqing Wang, Yilun Chen, Xihui Liu, Jiangmiao Pang Title: StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling Arxiv: http://arxiv.org/abs/2507.05240v1 Abstract: Vision-and-Language Navigation (VLN) in real-world settings requires agents to process continuous visual streams and generate actions with low latency grounded in language...

Jul 10, 2025β€’23 minβ€’Ep. 949

CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization

πŸ€— Upvotes: 35 | cs.CL Authors: Zhongyuan Peng, Yifan Yao, Kaijing Ma, Shuyue Guo, Yizhe Li, Yichi Zhang, Chenchen Zhang, Yifan Zhang, Zhouliang Yu, Luming Li, Minghao Liu, Yihang Xia, Jiawei Shen, Yuchen Wu, Yixin Cao, Zhaoxiang Zhang, Wenhao Huang, Jiaheng Liu, Ge Zhang Title: CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization Arxiv: http://arxiv.org/abs/2507.06181v1 Abstract: Translating natural language mathematical statements into formal, executable code is a fu...

Jul 10, 2025β€’24 minβ€’Ep. 948

RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents

πŸ€— Upvotes: 27 | cs.CL, cs.AI, cs.CY Authors: Peisong Wang, Ruotian Ma, Bang Zhang, Xingyu Chen, Zhiwei He, Kang Luo, Qingsong Lv, Qingxuan Jiang, Zheng Xie, Shanyi Wang, Yuan Li, Fanghua Ye, Jian Li, Yifan Yang, Zhaopeng Tu, Xiaolong Li Title: RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents Arxiv: http://arxiv.org/abs/2507.03112v1 Abstract: Large language models (LLMs) excel at logical and algorithmic reasoning, yet their emotional intelligence (EQ) still lag...

Jul 10, 2025β€’21 minβ€’Ep. 947

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos

πŸ€— Upvotes: 24 | cs.CV, cs.AI Authors: Rongsheng Wang, Junying Chen, Ke Ji, Zhenyang Cai, Shunian Chen, Yunjin Yang, Benyou Wang Title: MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Arxiv: http://arxiv.org/abs/2507.05675v1 Abstract: Recent advances in video generation have shown remarkable progress in open-domain settings, yet medical video generation remains largely underexplored. Medical videos are critical for applications such as clinical training,...

Jul 10, 2025β€’19 minβ€’Ep. 946

MemOS: A Memory OS for AI System

πŸ€— Upvotes: 83 | cs.CL Authors: Zhiyu Li, Shichao Song, Chenyang Xi, Hanyu Wang, Chen Tang, Simin Niu, Ding Chen, Jiawei Yang, Chunyu Li, Qingchen Yu, Jihao Zhao, Yezhaohui Wang, Peng Liu, Zehao Lin, Pengyuan Wang, Jiahao Huo, Tianyi Chen, Kai Chen, Kehang Li, Zhen Tao, Junpeng Ren, Huayi Lai, Hao Wu, Bo Tang, Zhenren Wang, Zhaoxin Fan, Ningyu Zhang, Linfeng Zhang, Junchi Yan, Mingchuan Yang, Tong Xu, Wei Xu, Huajun Chen, Haofeng Wang, Hongkang Yang, Wentao Zhang, Zhi-Qin John Xu, Siheng Chen, F...

Jul 09, 2025β€’22 minβ€’Ep. 945

Should We Still Pretrain Encoders with Masked Language Modeling?

πŸ€— Upvotes: 63 | cs.CL Authors: Hippolyte Gisserot-Boukhlef, Nicolas Boizard, Manuel Faysse, Duarte M. Alves, Emmanuel Malherbe, AndrΓ© F. T. Martins, CΓ©line Hudelot, Pierre Colombo Title: Should We Still Pretrain Encoders with Masked Language Modeling? Arxiv: http://arxiv.org/abs/2507.00994v2 Abstract: Learning high-quality text representations is fundamental to a wide range of NLP tasks. While encoder pretraining has traditionally relied on Masked Language Modeling (MLM), recent evidence sugges...

Jul 09, 2025β€’23 minβ€’Ep. 944

Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving

πŸ€— Upvotes: 36 | cs.CL, cs.AI Authors: Xiangru Tang, Tianrui Qin, Tianhao Peng, Ziyang Zhou, Daniel Shao, Tingting Du, Xinming Wei, Peng Xia, Fang Wu, He Zhu, Ge Zhang, Jiaheng Liu, Xingyao Wang, Sirui Hong, Chenglin Wu, Hao Cheng, Chi Wang, Wangchunshu Zhou Title: Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving Arxiv: http://arxiv.org/abs/2507.06229v1 Abstract: As language agents tackle increasingly complex tasks, they struggle with effective error correction and experi...

Jul 09, 2025β€’21 minβ€’Ep. 943

4DSloMo: 4D Reconstruction for High Speed Scene with Asynchronous Capture

πŸ€— Upvotes: 33 | cs.CV Authors: Yutian Chen, Shi Guo, Tianshuo Yang, Lihe Ding, Xiuyuan Yu, Jinwei Gu, Tianfan Xue Title: 4DSloMo: 4D Reconstruction for High Speed Scene with Asynchronous Capture Arxiv: http://arxiv.org/abs/2507.05163v1 Abstract: Reconstructing fast-dynamic scenes from multi-view videos is crucial for high-speed motion analysis and realistic 4D reconstruction. However, the majority of 4D capture systems are limited to frame rates below 30 FPS (frames per second), and a direct 4D...

Jul 09, 2025β€’20 minβ€’Ep. 942

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge

πŸ€— Upvotes: 30 | cs.CV, cs.RO Authors: Wenyao Zhang, Hongsi Liu, Zekun Qi, Yunnan Wang, XinQiang Yu, Jiazhao Zhang, Runpei Dong, Jiawei He, He Wang, Zhizheng Zhang, Li Yi, Wenjun Zeng, Xin Jin Title: DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge Arxiv: http://arxiv.org/abs/2507.04447v1 Abstract: Recent advances in vision-language-action (VLA) models have shown promise in integrating image generation with action prediction to improve generalization and reason...

Jul 09, 2025β€’23 minβ€’Ep. 941

Pre-Trained Policy Discriminators are General Reward Models

πŸ€— Upvotes: 28 | cs.CL, cs.LG Authors: Shihan Dou, Shichun Liu, Yuming Yang, Yicheng Zou, Yunhua Zhou, Shuhao Xing, Chenhao Huang, Qiming Ge, Demin Song, Haijun Lv, Songyang Gao, Chengqi Lv, Enyu Zhou, Honglin Guo, Zhiheng Xi, Wenwei Zhang, Qipeng Guo, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Tao Gui, Kai Chen Title: Pre-Trained Policy Discriminators are General Reward Models Arxiv: http://arxiv.org/abs/2507.05197v1 Abstract: We offer a novel perspective on reward modeling by formulating it as a po...

Jul 09, 2025β€’24 minβ€’Ep. 940

BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset

πŸ€— Upvotes: 22 | cs.CL, cs.AI Authors: Zhiheng Xi, Guanyu Li, Yutao Fan, Honglin Guo, Yufang Liu, Xiaoran Fan, Jiaqi Liu, Jingchao Ding, Wangmeng Zuo, Zhenfei Yin, Lei Bai, Tao Ji, Tao Gui, Qi Zhang, Philip Torr, Xuanjing Huang Title: BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset Arxiv: http://arxiv.org/abs/2507.03483v2 Abstract: In this paper, we introduce BMMR, a large-scale bilingual, multimodal, multi-disciplinary reasoning dataset for the community to develop a...

Jul 09, 2025β€’20 minβ€’Ep. 939

WebSailor: Navigating Super-human Reasoning for Web Agent

πŸ€— Upvotes: 56 | cs.CL, cs.AI Authors: Kuan Li, Zhongwang Zhang, Huifeng Yin, Liwen Zhang, Litu Ou, Jialong Wu, Wenbiao Yin, Baixuan Li, Zhengwei Tao, Xinyu Wang, Weizhou Shen, Junkai Zhang, Dingchu Zhang, Xixi Wu, Yong Jiang, Ming Yan, Pengjun Xie, Fei Huang, Jingren Zhou Title: WebSailor: Navigating Super-human Reasoning for Web Agent Arxiv: http://arxiv.org/abs/2507.02592v1 Abstract: Transcending human cognitive limitations represents a critical frontier in LLM training. Proprietary agentic s...

Jul 05, 2025β€’22 minβ€’Ep. 938

LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion

πŸ€— Upvotes: 45 | cs.CV Authors: Fangfu Liu, Hao Li, Jiawei Chi, Hanyang Wang, Minghui Yang, Fudong Wang, Yueqi Duan Title: LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion Arxiv: http://arxiv.org/abs/2507.02813v1 Abstract: Recovering 3D structures with open-vocabulary scene understanding from 2D images is a fundamental but daunting task. Recent developments have achieved this by performing per-scene optimization with embedded language information. Ho...

Jul 05, 2025β€’22 minβ€’Ep. 937

Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback

πŸ€— Upvotes: 33 | cs.CV Authors: Nina Konovalova, Maxim Nikolaev, Andrey Kuznetsov, Aibek Alanov Title: Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Arxiv: http://arxiv.org/abs/2507.02321v1 Abstract: Despite significant progress in text-to-image diffusion models, achieving precise spatial control over generated outputs remains challenging. ControlNet addresses this by introducing an auxiliary conditioning module, while ControlNet++ further refines align...

Jul 05, 2025β€’19 minβ€’Ep. 936

IntFold: A Controllable Foundation Model for General and Specialized Biomolecular Structure Prediction

πŸ€— Upvotes: 32 | q-bio.BM Authors: The IntFold Team, Leon Qiao, Wayne Bai, He Yan, Gary Liu, Nova Xi, Xiang Zhang Title: IntFold: A Controllable Foundation Model for General and Specialized Biomolecular Structure Prediction Arxiv: http://arxiv.org/abs/2507.02025v1 Abstract: We introduce IntFold, a controllable foundation model for both general and specialized biomolecular structure prediction. IntFold demonstrates predictive accuracy comparable to the state-of-the-art AlphaFold3, while utilizing...

Jul 05, 2025β€’22 minβ€’Ep. 935

Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy

πŸ€— Upvotes: 31 | cs.CL, cs.AI, cs.LG Authors: Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, Jujie He, Jiacai Liu, Chaojie Wang, Rui Yan, Wei Shen, Fuxiang Zhang, Jiacheng Xu, Yang Liu, Yahui Zhou Title: Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy Arxiv: http://arxiv.org/abs/2507.01352v2 Abstract: Despite the critical role of reward models (RMs) in reinforcement learning from human feedback (RLHF), current state-of-the-art open RMs perform poorly on most existing evaluati...

Jul 05, 2025β€’21 minβ€’Ep. 934

Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers

πŸ€— Upvotes: 27 | cs.CV Authors: Zhaochen Su, Peng Xia, Hangyu Guo, Zhenhua Liu, Yan Ma, Xiaoye Qu, Jiaqi Liu, Yanshu Li, Kaide Zeng, Zhengyuan Yang, Linjie Li, Yu Cheng, Heng Ji, Junxian He, Yi R. Fung Title: Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers Arxiv: http://arxiv.org/abs/2506.23918v3 Abstract: Recent progress in multimodal reasoning has been significantly advanced by textual Chain-of-Thought (CoT), a paradigm where models conduct reasoning w...

Jul 05, 2025β€’20 minβ€’Ep. 933

Kwai Keye-VL Technical Report

πŸ€— Upvotes: 97 | cs.CV Authors: Kwai Keye Team, Biao Yang, Bin Wen, Changyi Liu, Chenglong Chu, Chengru Song, Chongling Rao, Chuan Yi, Da Li, Dunju Zang, Fan Yang, Guorui Zhou, Hao Peng, Haojie Ding, Jiaming Huang, Jiangxia Cao, Jiankang Chen, Jingyun Hua, Jin Ouyang, Kaibing Chen, Kaiyu Jiang, Kaiyu Tang, Kun Gai, Shengnan Zhang, Siyang Mao, Sui Huang, Tianke Zhang, Tingting Gao, Wei Chen, Wei Yuan, Xiangyu Wu, Xiao Hu, Xingyu Lu, Yang Zhou, Yi-Fan Zhang, Yiping Yang, Yulong Chen, Zhenhua Wu, Z...

Jul 04, 2025β€’23 minβ€’Ep. 932

LongAnimation: Long Animation Generation with Dynamic Global-Local Memory

πŸ€— Upvotes: 61 | cs.CV Authors: Nan Chen, Mengqi Huang, Yihao Meng, Zhendong Mao Title: LongAnimation: Long Animation Generation with Dynamic Global-Local Memory Arxiv: http://arxiv.org/abs/2507.01945v1 Abstract: Animation colorization is a crucial part of real animation industry production. Long animation colorization has high labor costs. Therefore, automated long animation colorization based on the video generation model has significant research value. Existing studies are limited to short-te...

Jul 04, 2025β€’22 minβ€’Ep. 931

Depth Anything at Any Condition

πŸ€— Upvotes: 35 | cs.CV, cs.AI Authors: Boyuan Sun, Modi Jin, Bowen Yin, Qibin Hou Title: Depth Anything at Any Condition Arxiv: http://arxiv.org/abs/2507.01634v1 Abstract: We present Depth Anything at Any Condition (DepthAnything-AC), a foundation monocular depth estimation (MDE) model capable of handling diverse environmental conditions. Previous foundation MDE models achieve impressive performance across general scenes but not perform well in complex open-world environments that involve challe...

Jul 04, 2025β€’25 minβ€’Ep. 930

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective

πŸ€— Upvotes: 24 | cs.RO Authors: Yifan Zhong, Fengshuo Bai, Shaofei Cai, Xuchuan Huang, Zhang Chen, Xiaowei Zhang, Yuanfei Wang, Shaoyang Guo, Tianrui Guan, Ka Nam Lui, Zhiquan Qi, Yitao Liang, Yuanpei Chen, Yaodong Yang Title: A Survey on Vision-Language-Action Models: An Action Tokenization Perspective Arxiv: http://arxiv.org/abs/2507.01925v1 Abstract: The remarkable advancements of vision and language foundation models in multimodal understanding, reasoning, and generation has sparked growing ...

Jul 04, 2025β€’24 minβ€’Ep. 929

GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

πŸ€— Upvotes: 141 | cs.CV, cs.AI, cs.LG Authors: GLM-V Team, :, Wenyi Hong, Wenmeng Yu, Xiaotao Gu, Guo Wang, Guobing Gan, Haomiao Tang, Jiale Cheng, Ji Qi, Junhui Ji, Lihang Pan, Shuaiqi Duan, Weihan Wang, Yan Wang, Yean Cheng, Zehai He, Zhe Su, Zhen Yang, Ziyang Pan, Aohan Zeng, Baoxu Wang, Boyan Shi, Changyu Pang, Chenhui Zhang, Da Yin, Fan Yang, Guoqing Chen, Jiazheng Xu, Jiali Chen, Jing Chen, Jinhao Chen, Jinghao Lin, Jinjiang Wang, Junjie Chen, Leqi Lei, Letian Gong, Leyi Pan, Mingzhi Zhang...

Jul 03, 2025β€’25 minβ€’Ep. 928

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning

πŸ€— Upvotes: 35 | cs.AI, cs.CL Authors: Maggie Huan, Yuetai Li, Tuney Zheng, Xiaoyu Xu, Seungone Kim, Minxin Du, Radha Poovendran, Graham Neubig, Xiang Yue Title: Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning Arxiv: http://arxiv.org/abs/2507.00432v1 Abstract: Math reasoning has become the poster child of progress in large language models (LLMs), with new models rapidly surpassing human-level performance on benchmarks like MATH and AIME. But a...

Jul 03, 2025β€’22 minβ€’Ep. 927

SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Tasks

πŸ€— Upvotes: 33 | cs.CL, cs.AI Authors: Yilun Zhao, Kaiyan Zhang, Tiansheng Hu, Sihong Wu, Ronan Le Bras, Taira Anderson, Jonathan Bragg, Joseph Chee Chang, Jesse Dodge, Matt Latzke, Yixin Liu, Charles McGrady, Xiangru Tang, Zihang Wang, Chen Zhao, Hannaneh Hajishirzi, Doug Downey, Arman Cohan Title: SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Tasks Arxiv: http://arxiv.org/abs/2507.01001v1 Abstract: We present SciArena, an open and collaborative platform f...

Jul 03, 2025β€’19 minβ€’Ep. 926

MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings

πŸ€— Upvotes: 30 | cs.CV, cs.AI, cs.CL Authors: Haonan Chen, Hong Liu, Yuping Luo, Liang Wang, Nan Yang, Furu Wei, Zhicheng Dou Title: MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings Arxiv: http://arxiv.org/abs/2506.23115v1 Abstract: Multimodal embedding models, built upon causal Vision Language Models (VLMs), have shown promise in various tasks. However, current approaches face three key limitations: the use of causal attention in VLM backbones is subo...

Jul 03, 2025β€’21 minβ€’Ep. 925

Radial Attention: $O(n\log n)$ Sparse Attention with Energy Decay for Long Video Generation

πŸ€— Upvotes: 29 | cs.CV, cs.AI, cs.LG Authors: Xingyang Li, Muyang Li, Tianle Cai, Haocheng Xi, Shuo Yang, Yujun Lin, Lvmin Zhang, Songlin Yang, Jinbo Hu, Kelly Peng, Maneesh Agrawala, Ion Stoica, Kurt Keutzer, Song Han Title: Radial Attention: $O(n\log n)$ Sparse Attention with Energy Decay for Long Video Generation Arxiv: http://arxiv.org/abs/2506.19852v1 Abstract: Recent advances in diffusion models have enabled high-quality video generation, but the additional temporal dimension significantly...

Jul 03, 2025β€’21 minβ€’Ep. 924

Ovis-U1 Technical Report

πŸ€— Upvotes: 51 | cs.CV, cs.AI Authors: Guo-Hua Wang, Shanshan Zhao, Xinjie Zhang, Liangfu Cao, Pengxin Zhan, Lunhao Duan, Shiyin Lu, Minghao Fu, Xiaohao Chen, Jianshan Zhao, Yang Li, Qing-Guo Chen Title: Ovis-U1 Technical Report Arxiv: http://arxiv.org/abs/2506.23044v2 Abstract: In this report, we introduce Ovis-U1, a 3-billion-parameter unified model that integrates multimodal understanding, text-to-image generation, and image editing capabilities. Building on the foundation of the Ovis series,...

Jul 02, 2025β€’22 minβ€’Ep. 923

SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning

πŸ€— Upvotes: 27 | cs.AI, cs.CL, cs.LG Authors: Bo Liu, Leon Guertler, Simon Yu, Zichen Liu, Penghui Qi, Daniel Balcells, Mickel Liu, Cheston Tan, Weiyan Shi, Min Lin, Wee Sun Lee, Natasha Jaques Title: SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning Arxiv: http://arxiv.org/abs/2506.24119v2 Abstract: Recent advances in reinforcement learning have shown that language models can develop sophisticated reasoning through training on tasks wit...

Jul 02, 2025β€’21 minβ€’Ep. 922
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