Jingwen Liang, Gengyu Wang

Daily Paper Cast

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.comCreator:Jingwen Liang, 3D ML, https://www.linkedin.com/in/jingwen-liang/Gengyu Wang, LLM ML, http://wanggengyu.comListen on: Spotify: https://open.spotify.com/show/21nrhmdaA8qoBiH8q03NXLApple Podcast: https://podcasts.apple.com/us/podcast/daily-paper-cast/id1777620236Cover Image by Kawen Kuang https://kawen.art

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Forfatter

Jingwen Liang, Gengyu Wang

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Science

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dailypapercast.transistor.fm

Seneste episode

14. okt. 2026

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Episoder

Beyond Spatio-Temporal Priors: A Generalizable Approach for Dense Correspondence Matching 09.10.2026

🤗 Upvotes: 24 | cs. CV, cs. LG Authors: Luping Liu, Bingyi Kang, Yifan Wang, Dong Xu Title: Beyond Spatio-Temporal Priors: A Generalizable Approach for Dense Correspondence Matching Arxiv: http://arxiv.org/abs/2610.12421v1 Abstract: Dense correspondence matching has historically been bounded by simplifying spatio-temporal priors, such as smooth motion and rigid geometry. While effective for class...

STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization 08.10.2026

🤗 Upvotes: 84 | cs. CL, cs. AI, cs. LG Authors: Bingchen Yao, Haobo Xu, Haokun Lin, Yichen Wu, Ziyu Guo, Renrui Zhang, Zhichao Lu, Zhenan Sun, Ying Wei Title: STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization Arxiv: http://arxiv.org/abs/2609.38169v1 Abstract: Linear attention replaces growing KV caches with fixed-size recurrent states, yet these persistent states...

Long-WAM: Scaling the Context of World-Action Models 08.10.2026

🤗 Upvotes: 78 | cs. RO, cs. AI, cs. CV Authors: Wei Huang, Bohan Zhang, Chenzhi Liu, Isabella Liu, Shuai Yang, Weian Mao, Luozhou Wang, Yicheng Xiao, Weifeng Lin, Qixin Hu, Bryan Chu, Sifei Liu, Linxi Fan, Xiaojuan Qi, Song Han, Yukang Chen Title: Long-WAM: Scaling the Context of World-Action Models Arxiv: http://arxiv.org/abs/2610.10528v1 Abstract: Real-time robot control demands enough visual h...

nanoMuse: An Open-Source Personal Agent for Every Device You Own 08.10.2026

🤗 Upvotes: 67 | cs. AI Authors: Guangyi Liu, Yong Liu, Jiangning Zhang Title: nanoMuse: An Open-Source Personal Agent for Every Device You Own Arxiv: http://arxiv.org/abs/2610.08699v1 Abstract: Assistants from 2011 answered and waited, and agents from 2023 did a task and stopped. In September 2026 Meta's Muse showed an agent for one person, with accounts, devices, memory and a conversation that l...

Recursive Game Creator: An Agentic Product-Level Experience-Oriented Game Harness 08.10.2026

🤗 Upvotes: 61 | cs. AI, cs. MA, cs. SE Authors: Jiajun Chen, Haoyu Wu, Mingda Jia, Xihui Liu Title: Recursive Game Creator: An Agentic Product-Level Experience-Oriented Game Harness Arxiv: http://arxiv.org/abs/2610.08621v1 Abstract: Recent game design agents have made substantial progress in generating playable games. However, program correctness does not ensure an enjoyable experience for player...

Questioning the Questions: Sustaining Self-Evolution in Reasoning Models 08.10.2026

🤗 Upvotes: 57 | cs. LG, cs. AI, cs. CL Authors: Jinyuan Li, Chengsong Huang, Langlin Huang, Donghong Cai, Shiping Gao, Yuyi Yang, Jiaxin Huang Title: Questioning the Questions: Sustaining Self-Evolution in Reasoning Models Arxiv: http://arxiv.org/abs/2610.04299v2 Abstract: Self-evolving reasoning models learn from their own generated questions, yet repeated self-training can lead to performance c...

DecepEval: A Benchmark for Evaluating Deception in LLM Agents 08.10.2026

🤗 Upvotes: 55 | cs. LG Authors: Yiming Xu, Hongyue Yu, Beihua Yang, Zihan Chen, Yixin Liu, Zhen Peng, Bin Shi, Bo Dong, Chao Shen, Irwin King, Qinghua Zheng Title: DecepEval: A Benchmark for Evaluating Deception in LLM Agents Arxiv: http://arxiv.org/abs/2610.07967v1 Abstract: As large language model (LLM) agents become increasingly autonomous, they may pursue task performance through deception, r...

GRACE: Generation-aware latent compression for efficient video generation 08.10.2026

🤗 Upvotes: 55 | cs. CV Authors: Jiyoung Kim, Paul Hyunbin Cho, Jisu Nam, Donghoon Lee, Hyunsung Go, Yeonkyeong Lee, Hansaem Kim, Seungryong Kim Title: GRACE: Generation-aware latent compression for efficient video generation Arxiv: http://arxiv.org/abs/2610.10524v1 Abstract: Highly compressed video autoencoders offer an effective way to accelerate video diffusion models, as the Diffusion Transfor...

VepAgent: Bridging Causal-Transition via Tool-Augmented Reinforcement Learning for Video Event Prediction 08.10.2026

🤗 Upvotes: 51 | cs. CV Authors: Qiutong Chen, Yuchan Guo, Zhenlong Yuan, Haobo Yang, Fangfang Lin, Xinyi Long, Yin Wang, Zijian Song, Rui Lan, Shi Qiu, Boyuan Pan, Yang Luo, Yuyin Zhou Title: VepAgent: Bridging Causal-Transition via Tool-Augmented Reinforcement Learning for Video Event Prediction Arxiv: http://arxiv.org/abs/2610.06293v1 Abstract: Multimodal Large Language Models (MLLMs) have demo...

SGF+: Decoupling Gradient Flows for Autoregressive Video Generation 08.10.2026

🤗 Upvotes: 46 | cs. CV Authors: Zihan Su, Junhao Zhuang, Yaowei Li, Siwen Lu, Haoran Li, Lingen Li, Haoyu Wu, Weiyang Jin, Songchun Zhang, Haoyang Huang, Chun Yuan, Zeyue Xue, Nan Duan Title: SGF+: Decoupling Gradient Flows for Autoregressive Video Generation Arxiv: http://arxiv.org/abs/2610.10429v1 Abstract: Autoregressive video generation requires denoising the current frames while writing thei...

UniWAM: Unified World-Action Model 08.10.2026

🤗 Upvotes: 43 | cs. RO Authors: Wenxuan Song, Jiayi Chen, Jingbo Wang, Shuai Zhou, Xicheng Gong, Zehua Fan, Ziyang Zhou, Junwu E, Haodong Yan, Fuhao Li, Qize Yu, Xu Huang, Pengwei Wang, Wen Chen, Shunbo Zhou, Haoang Li Title: UniWAM: Unified World-Action Model Arxiv: http://arxiv.org/abs/2610.02054v2 Abstract: Vision-language-action models benefit from the understanding and reasoning capabilities...

Rethinking Cross-Tokenizer On-Policy Distillation: From Alignment Coverage to Supervision Reliability 07.10.2026

🤗 Upvotes: 77 | cs. CL, cs. AI Authors: Bingxi Hou, Guochao Jiang, Guofeng Quan, Weiqing Li, Wenfeng Feng, Guohua Liu, Yuewei Zhang Title: Rethinking Cross-Tokenizer On-Policy Distillation: From Alignment Coverage to Supervision Reliability Arxiv: http://arxiv.org/abs/2610.08448v1 Abstract: On-Policy Distillation (OPD) trains a student on its own generations using teacher feedback. With different...

DuoMatching: Joint-Marginal Distribution Matching for Few-Step Video Generation 07.10.2026

🤗 Upvotes: 52 | cs. CV Authors: Jiahao Zhan, Yan Wang, Yongrui Ma, Qunliang Xing, Ruchang Yao, Runtao Liu, Shijie Zhao, Tianfan Xue Title: DuoMatching: Joint-Marginal Distribution Matching for Few-Step Video Generation Arxiv: http://arxiv.org/abs/2610.03543v1 Abstract: Streaming video generation has benefited from distribution matching distillation (DMD), which matches the joint distribution of v...

TRACE: Rollout-Guided Quantization-Aware Training for FP4 Reinforcement Learning of MoE Language Models 07.10.2026

🤗 Upvotes: 33 | cs. LG, cs. CL Authors: Xin Wang, Hao Yu, Zhengyang Zhuge, Bochao Mao, Zheng Li, Junda Feng, Yuyan Luo, Yi Zhang, Yizhong Cao, Mi Zhang, Dayiheng Liu, Jianwei Zhang Title: TRACE: Rollout-Guided Quantization-Aware Training for FP4 Reinforcement Learning of MoE Language Models Arxiv: http://arxiv.org/abs/2610.07767v1 Abstract: Reinforcement learning (RL) for post-training large lang...

EVISKILL: Grounding Skill Evolution in Replayable Evidence 07.10.2026

🤗 Upvotes: 30 | cs. AI Authors: Yan Zhou, Yili Wang, Yiwei Dai, Qinggang Zhang, Xin Wang Title: EVISKILL: Grounding Skill Evolution in Replayable Evidence Arxiv: http://arxiv.org/abs/2610.05030v1 Abstract: Continual skill evolution enables LLM agents to accumulate and refine reusable procedural knowledge from interaction experience without updating model parameters. Its effectiveness depends on d...

From Evidence to Action: How Tool-Using Agents Fail 07.10.2026

🤗 Upvotes: 27 | cs. CL, cs. AI Authors: Hongzhan Lin, Shidong Cao, Ziyang Luo, Wenhao Chai, Mong-Li Lee, Wynne Hsu Title: From Evidence to Action: How Tool-Using Agents Fail Arxiv: http://arxiv.org/abs/2610.07753v1 Abstract: Tool-using agents make consequential changes to external state, yet correct outcomes do not guarantee that their actions were supported by evidence established beforehand. We...

AutoSciBench: Autonomous Benchmark Generation for Evaluating Scientific Agents 07.10.2026

🤗 Upvotes: 22 | cs. AI Authors: Dongki Kim, Namkyeong Lee, Surag Nair, Carl Edwards, Xiner Li, Edward De Brouwer, Jenna Lynn Collier, Sung Ju Hwang, Gabriele Scalia, Ehsan Hajiramezanali Title: AutoSciBench: Autonomous Benchmark Generation for Evaluating Scientific Agents Arxiv: http://arxiv.org/abs/2610.05140v1 Abstract: As agents rapidly evolve, existing benchmarks can become saturated, limitin...

Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation 06.10.2026

🤗 Upvotes: 83 | cs. CV, cs. AI, cs. LG, cs. MM Authors: Team Kandinsky, Julia Agafonova, Bulat Akhmatov, Mikhail Aksyutin, Grigorii Alekseenko, Anastasia Aliaskina, Olga Androsova, Vladimir Arkhipkin, Anna Averchenkova, Alexander Belykh, Serafima Bocharova, Sofiya Bogakovskaya, Anton Bukashkin, Mark Bulygin, Kirill Buzygin, Irina Cheremnykh, Kirill Chernyshev, Mikhail Chernyshov, Vladimir Chernyy...

ALoDLM: Adaptively Looped Diffusion Language Models 06.10.2026

🤗 Upvotes: 37 | cs. AI, cs. LG Authors: Liancheng Fang, Zhuowei Li, Youngeun Kim, Tianchen Zhao, Rajat Koner, Jiaye Wu, Linghan Xu, Xuanbai Chen, Xiang Xu, Zheng Zhang, Jakub Zablocki, Nishant Sankaran, Yifan Xing Title: ALoDLM: Adaptively Looped Diffusion Language Models Arxiv: http://arxiv.org/abs/2610.04198v1 Abstract: Diffusion language models (DLMs) enable fast generation by predicting multi...

Adaptive Reward Routing: Dynamic Multi-Reward Optimization for Joint Audio-Video Diffusion via Forward-Process RL 02.10.2026

🤗 Upvotes: 112 | cs. CV Authors: Songlin Yang, Xiaotong Zhao, Jiacheng Zhang, Zhe Wang, Toyota Li, Eric Liu, Alan Zhao, Anyi Rao Title: Adaptive Reward Routing: Dynamic Multi-Reward Optimization for Joint Audio-Video Diffusion via Forward-Process RL Arxiv: http://arxiv.org/abs/2609.37200v1 Abstract: Multi-reward guided reinforcement learning (i.e., RL) offers a promising way to improve joint audi...

Beyond Memory: Harnessing Long-Horizon Agents with Explicit Belief States 02.10.2026

🤗 Upvotes: 58 | cs. AI Authors: Yu Luo, Jiamin Jiang, Yimin Zuo, Xidao Wen, Rongchen Gao, Yongqian Sun, Shenglin Zhang, Guiyang Liu, Cheng Zhang, Fang Situ, Qi Zhou, Dan Pei Title: Beyond Memory: Harnessing Long-Horizon Agents with Explicit Belief States Arxiv: http://arxiv.org/abs/2610.01415v1 Abstract: Large language model (LLM) agents can now undertake increasingly complex tasks, but the way t...

Hierarchical Continuous Diffusion Language Models 02.10.2026

🤗 Upvotes: 49 | cs. CL, cs. AI, cs. LG Authors: Hui Ren, Zihan Li, Chang Liu, Huidong Liu, Alexander Schwing Title: Hierarchical Continuous Diffusion Language Models Arxiv: http://arxiv.org/abs/2610.02193v1 Abstract: Discrete diffusion language models offer a compelling alternative to autoregressive generation for tasks demanding bidirectional reasoning and global constraint satisfaction. Yet the...

Agent Priors-guided Policy Learning 02.10.2026

🤗 Upvotes: 44 | cs. RO Authors: Puming Jiang, Tianrun Hu, Haozhe Du, Yibo Li, Zhiwei Xue, Xinhu Li, Harold Soh Title: Agent Priors-guided Policy Learning Arxiv: http://arxiv.org/abs/2609.35690v1 Abstract: Robots that learn from a few demonstrations often require two forms of generalization. Compositional generalization recombines skills to solve new tasks, and skill generalization lets the learne...

World Observer: Joint Actor-Observer Generation for Persistent World Modeling 02.10.2026

🤗 Upvotes: 37 | cs. CV Authors: Hyunwook Choi, Dahyun Chung, Hyunsung Kim, Siyoon Jin, Jinhyeok Choi, Junyoung Seo, Seungryong Kim Title: World Observer: Joint Actor-Observer Generation for Persistent World Modeling Arxiv: http://arxiv.org/abs/2610.02162v1 Abstract: How can a world model continuously observe regions beyond the actor's current view? Video world models simulate how an environment e...

ActiveSaddler: Automated Curriculum Learning for Agent Harness Optimization 02.10.2026

🤗 Upvotes: 32 | cs. AI, cs. CL, cs. LG, cs. MA, cs. SE Authors: Sungho Park, Wonjoong Kim, Jue Zhang, Wook-Shin Han, Pengfei Gao, Chanyoung Park, Yongqiang Yao, Rao Fu, Elsie Nallipogu, Qingwei Lin, Victor Rühle Title: ActiveSaddler: Automated Curriculum Learning for Agent Harness Optimization Arxiv: http://arxiv.org/abs/2610.00906v1 Abstract: Automated harness optimization can substantially impr...

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