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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

20:56

You Do Not Fully Utilize Transformer's Representation...

Daily Paper Cast ·

2025/02/20

🤗 Upvotes: 25 | cs.LG, cs.CL Authors: Gleb Gerasimov, Yaroslav Aksenov, Nikita Balagansky, Viacheslav Sinii, Daniil Gavrilov Title: You Do Not Fully Utilize Transformer's Representation Capacity Arxiv: http://arxiv.org/abs/2502.09245v1 Abstract: In contrast to RNNs, which compress previous tokens into a single hidden state, Transformers can attend to all previous tokens

en

23:03

Native Sparse Attention: Hardware-Aligned and...

Daily Paper Cast ·

2025/02/19

🤗 Upvotes: 68 | cs.CL, cs.AI, cs.LGAuthors: Jingyang Yuan, Huazuo Gao, Damai Dai, Junyu Luo, Liang Zhao, Zhengyan Zhang, Zhenda Xie, Y. X. Wei, Lean Wang, Zhiping Xiao, Yuqing Wang, Chong Ruan, Ming Zhang, Wenfeng Liang, Wangding Zeng Title: Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention Arxiv: http://arxiv.org/abs/2502.11089v1 Abstract:

en

24:40

Learning Getting-Up Policies for Real-World Humanoid...

Daily Paper Cast ·

2025/02/19

🤗 Upvotes: 32 | cs.RO, cs.LG Authors: Xialin He, Runpei Dong, Zixuan Chen, Saurabh Gupta Title: Learning Getting-Up Policies for Real-World Humanoid Robots Arxiv: http://arxiv.org/abs/2502.12152v1 Abstract: Automatic fall recovery is a crucial prerequisite before humanoid robots can be reliably deployed. Hand-designing controllers for getting up is difficult because of the

en

21:53

SWE-Lancer: Can Frontier LLMs Earn $1 Million from...

Daily Paper Cast ·

2025/02/19

🤗 Upvotes: 27 | cs.LG, cs.SE Authors: Samuel Miserendino, Michele Wang, Tejal Patwardhan, Johannes Heidecke Title: SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering? Arxiv: http://arxiv.org/abs/2502.12115v1 Abstract: We introduce SWE-Lancer, a benchmark of over 1,400 freelance software engineering tasks from Upwork, valued at \$1

en

21:23

CRANE: Reasoning with constrained LLM generation

Daily Paper Cast ·

2025/02/19

🤗 Upvotes: 17 | cs.PL, cs.LG Authors: Debangshu Banerjee, Tarun Suresh, Shubham Ugare, Sasa Misailovic, Gagandeep Singh Title: CRANE: Reasoning with constrained LLM generation Arxiv: http://arxiv.org/abs/2502.09061v1 Abstract: Code generation, symbolic math reasoning, and other tasks require LLMs to produce outputs that are both syntactically and semantically correct

en

24:39

How Do LLMs Acquire New Knowledge? A Knowledge...

Daily Paper Cast ·

2025/02/19

🤗 Upvotes: 16 | cs.LG, cs.AI, cs.CL, cs.CV, cs.HC Authors: Yixin Ou, Yunzhi Yao, Ningyu Zhang, Hui Jin, Jiacheng Sun, Shumin Deng, Zhenguo Li, Huajun Chen Title: How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training Arxiv: http://arxiv.org/abs/2502.11196v1 Abstract: Despite exceptional capabilities in knowledge-intensive tasks, Large

en

20:01

HermesFlow: Seamlessly Closing the Gap in Multimodal...

Daily Paper Cast ·

2025/02/19

🤗 Upvotes: 15 | cs.CV Authors: Ling Yang, Xinchen Zhang, Ye Tian, Chenming Shang, Minghao Xu, Wentao Zhang, Bin Cui Title: HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation Arxiv: http://arxiv.org/abs/2502.12148v1 Abstract: The remarkable success of the autoregressive paradigm has made significant advancement in Multimodal Large Language Models

en

22:23

I Think, Therefore I Diffuse: Enabling Multimodal...

Daily Paper Cast ·

2025/02/19

🤗 Upvotes: 14 | cs.LG, cs.AI Authors: Zhenxing Mi, Kuan-Chieh Wang, Guocheng Qian, Hanrong Ye, Runtao Liu, Sergey Tulyakov, Kfir Aberman, Dan Xu Title: I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models Arxiv: http://arxiv.org/abs/2502.10458v1 Abstract: This paper presents ThinkDiff, a novel alignment paradigm that empowers text-to-image

en

23:50

SURGE: On the Potential of Large Language Models as...

Daily Paper Cast ·

2025/02/19

🤗 Upvotes: 11 | cs.LG, cs.CL Authors: Bohan Lyu, Siqiao Huang, Zichen Liang Title: SURGE: On the Potential of Large Language Models as General-Purpose Surrogate Code Executors Arxiv: http://arxiv.org/abs/2502.11167v1 Abstract: Large language models (LLMs) have demonstrated remarkable capabilities in code-related tasks, such as code understanding and code generation. However, an

en

22:49

Region-Adaptive Sampling for Diffusion Transformers

Daily Paper Cast ·

2025/02/18

🤗 Upvotes: 46 | cs.CV, cs.AI Authors: Ziming Liu, Yifan Yang, Chengruidong Zhang, Yiqi Zhang, Lili Qiu, Yang You, Yuqing Yang Title: Region-Adaptive Sampling for Diffusion Transformers Arxiv: http://arxiv.org/abs/2502.10389v1 Abstract: Diffusion models (DMs) have become the leading choice for generative tasks across diverse domains. However, their reliance on multiple sequential

en

18:51

Large Language Diffusion Models

Daily Paper Cast ·

2025/02/18

🤗 Upvotes: 44 | cs.CL, cs.LG Authors: Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li Title: Large Language Diffusion Models Arxiv: http://arxiv.org/abs/2502.09992v1 Abstract: Autoregressive models (ARMs) are widely regarded as the cornerstone of large language models (LLMs). We challenge this notion by

en

27:29

The Danger of Overthinking: Examining the...

Daily Paper Cast ·

2025/02/18

🤗 Upvotes: 41 | cs.AI Authors: Alejandro Cuadron, Dacheng Li, Wenjie Ma, Xingyao Wang, Yichuan Wang, Siyuan Zhuang, Shu Liu, Luis Gaspar Schroeder, Tian Xia, Huanzhi Mao, Nicholas Thumiger, Aditya Desai, Ion Stoica, Ana Klimovic, Graham Neubig, Joseph E. Gonzalez Title: The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks Arxiv: http://arxiv.org/abs/2502.08235v1

en

23:13

Step-Video-T2V Technical Report: The Practice,...

Daily Paper Cast ·

2025/02/18

🤗 Upvotes: 38 | cs.CV, cs.CL Authors: Guoqing Ma, Haoyang Huang, Kun Yan, Liangyu Chen, Nan Duan, Shengming Yin, Changyi Wan, Ranchen Ming, Xiaoniu Song, Xing Chen, Yu Zhou, Deshan Sun, Deyu Zhou, Jian Zhou, Kaijun Tan, Kang An, Mei Chen, Wei Ji, Qiling Wu, Wen Sun, Xin Han, Yanan Wei, Zheng Ge, Aojie Li, Bin Wang, Bizhu Huang, Bo Wang, Brian Li, Changxing Miao, Chen Xu, Chenfei Wu, Chenguang Yu, Dapeng Shi, Dingyuan Hu, Enle Liu, Gang Yu, Ge Yang,

en

22:33

ZeroBench: An Impossible Visual Benchmark for...

Daily Paper Cast ·

2025/02/18

🤗 Upvotes: 27 | cs.CV Authors: Jonathan Roberts, Mohammad Reza Taesiri, Ansh Sharma, Akash Gupta, Samuel Roberts, Ioana Croitoru, Simion-Vlad Bogolin, Jialu Tang, Florian Langer, Vyas Raina, Vatsal Raina, Hanyi Xiong, Vishaal Udandarao, Jingyi Lu, Shiyang Chen, Sam Purkis, Tianshuo Yan, Wenye Lin, Gyungin Shin, Qiaochu Yang, Anh Totti Nguyen, Kai Han, Samuel Albanie Title: ZeroBench: An Impossible Visual Benchmark for

en

23:35

MM-RLHF: The Next Step Forward in Multimodal LLM...

Daily Paper Cast ·

2025/02/18

🤗 Upvotes: 22 | cs.CL, cs.CV Authors: Yi-Fan Zhang, Tao Yu, Haochen Tian, Chaoyou Fu, Peiyan Li, Jianshu Zeng, Wulin Xie, Yang Shi, Huanyu Zhang, Junkang Wu, Xue Wang, Yibo Hu, Bin Wen, Fan Yang, Zhang Zhang, Tingting Gao, Di Zhang, Liang Wang, Rong Jin, Tieniu Tan Title: MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Arxiv: http://arxiv.org/abs/2502.10391v1 Abstract:

en

23:22

ImageRAG: Dynamic Image Retrieval for...

Daily Paper Cast ·

2025/02/18

🤗 Upvotes: 12 | cs.CV, cs.GR Authors: Rotem Shalev-Arkushin, Rinon Gal, Amit H. Bermano, Ohad Fried Title: ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generation Arxiv: http://arxiv.org/abs/2502.09411v1 Abstract: Diffusion models enable high-quality and diverse visual content synthesis. However, they struggle to generate rare or unseen concepts. To address this

en

22:54

Diverse Inference and Verification for Advanced...

Daily Paper Cast ·

2025/02/18

🤗 Upvotes: 11 | cs.AI Authors: Iddo Drori, Gaston Longhitano, Mao Mao, Seunghwan Hyun, Yuke Zhang, Sungjun Park, Zachary Meeks, Xin-Yu Zhang, Ben Segev, Howard Yong, Nakul Verma, Avi Shporer, Alon Amit, Madeleine Udell Title: Diverse Inference and Verification for Advanced Reasoning Arxiv: http://arxiv.org/abs/2502.09955v1 Abstract: Reasoning LLMs such as OpenAI o1, o3 and

en

21:50

Precise Parameter Localization for Textual Generation...

Daily Paper Cast ·

2025/02/18

🤗 Upvotes: 10 | cs.CV Authors: Łukasz Staniszewski, Bartosz Cywiński, Franziska Boenisch, Kamil Deja, Adam Dziedzic Title: Precise Parameter Localization for Textual Generation in Diffusion Models Arxiv: http://arxiv.org/abs/2502.09935v1 Abstract: Novel diffusion models can synthesize photo-realistic images with integrated high-quality text. Surprisingly, we demonstrate through

en

17:24

DarwinLM: Evolutionary Structured Pruning of Large...

Daily Paper Cast ·

2025/02/18

🤗 Upvotes: 9 | cs.LG, cs.CL Authors: Shengkun Tang, Oliver Sieberling, Eldar Kurtic, Zhiqiang Shen, Dan Alistarh Title: DarwinLM: Evolutionary Structured Pruning of Large Language Models Arxiv: http://arxiv.org/abs/2502.07780v1 Abstract: Large Language Models (LLMs) have achieved significant success across various NLP tasks. However, their massive computational costs limit their

en

21:13

InfiniteHiP: Extending Language Model Context Up to 3...

Daily Paper Cast ·

2025/02/15

🤗 Upvotes: 62 | cs.CL, cs.LGAuthors: Heejun Lee, Geon Park, Jaduk Suh, Sung Ju Hwang Title: InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU Arxiv: http://arxiv.org/abs/2502.08910v1 Abstract: In modern large language models (LLMs), handling very long context lengths presents significant challenges as it causes slower inference speeds and

en

2,195 results

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