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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

22:13

DiTCtrl: Exploring Attention Control in Multi-Modal...

Daily Paper Cast ·

2024/12/26

🤗 Upvotes: 10 | cs.CV, cs.AI, cs.MM Authors: Minghong Cai, Xiaodong Cun, Xiaoyu Li, Wenze Liu, Zhaoyang Zhang, Yong Zhang, Ying Shan, Xiangyu Yue Title: DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation Arxiv: http://arxiv.org/abs/2412.18597v1 Abstract: Sora-like video generation models have achieved

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24:19

In Case You Missed It: ARC 'Challenge' Is Not That...

Daily Paper Cast ·

2024/12/26

🤗 Upvotes: 8 | cs.CL, cs.AI Authors: Łukasz Borchmann Title: In Case You Missed It: ARC 'Challenge' Is Not That Challenging Arxiv: http://arxiv.org/abs/2412.17758v1 Abstract: ARC Challenge appears more difficult than ARC Easy for modern LLMs primarily due to an evaluation setup that prevents direct comparison of answer choices rather than inherent complexity. Although some

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20:56

ReMoE: Fully Differentiable Mixture-of-Experts with...

Daily Paper Cast ·

2024/12/26

🤗 Upvotes: 8 | cs.LG Authors: Ziteng Wang, Jianfei Chen, Jun Zhu Title: ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing Arxiv: http://arxiv.org/abs/2412.14711v1 Abstract: Sparsely activated Mixture-of-Experts (MoE) models are widely adopted to scale up model capacity without increasing the computation budget. However, vanilla TopK routers are trained in a

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22:17

SKETCH: Structured Knowledge Enhanced Text...

Daily Paper Cast ·

2024/12/26

🤗 Upvotes: 6 | cs.CL Authors: Aakash Mahalingam, Vinesh Kumar Gande, Aman Chadha, Vinija Jain, Divya Chaudhary Title: SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval Arxiv: http://arxiv.org/abs/2412.15443v1 Abstract: Retrieval-Augmented Generation (RAG) systems have become pivotal in leveraging vast corpora to generate informed and contextually

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26:24

PartGen: Part-level 3D Generation and Reconstruction...

Daily Paper Cast ·

2024/12/26

🤗 Upvotes: 5 | cs.CV Authors: Minghao Chen, Roman Shapovalov, Iro Laina, Tom Monnier, Jianyuan Wang, David Novotny, Andrea Vedaldi Title: PartGen: Part-level 3D Generation and Reconstruction with Multi-View Diffusion Models Arxiv: http://arxiv.org/abs/2412.18608v1 Abstract: Text- or image-to-3D generators and 3D scanners can now produce 3D assets with high-quality shapes and

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22:35

MotiF: Making Text Count in Image Animation with...

Daily Paper Cast ·

2024/12/26

🤗 Upvotes: 3 | cs.CV, cs.AI Authors: Shijie Wang, Samaneh Azadi, Rohit Girdhar, Saketh Rambhatla, Chen Sun, Xi Yin Title: MotiF: Making Text Count in Image Animation with Motion Focal Loss Arxiv: http://arxiv.org/abs/2412.16153v1 Abstract: Text-Image-to-Video (TI2V) generation aims to generate a video from an image following a text description, which is also referred to as

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25:29

Bridging the Data Provenance Gap Across Text, Speech...

Daily Paper Cast ·

2024/12/26

🤗 Upvotes: 3 | cs.AI, cs.CL, cs.CY, cs.LG, cs.MM Authors: Shayne Longpre, Nikhil Singh, Manuel Cherep, Kushagra Tiwary, Joanna Materzynska, William Brannon, Robert Mahari, Manan Dey, Mohammed Hamdy, Nayan Saxena, Ahmad Mustafa Anis, Emad A. Alghamdi, Vu Minh Chien, Naana Obeng-Marnu, Da Yin, Kun Qian, Yizhi Li, Minnie Liang, An Dinh, Shrestha Mohanty, Deividas Mataciunas, Tobin South, Jianguo Zhang, Ariel N. Lee, Campbell S. Lund, Christopher Klamm,

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21:39

RobustFT: Robust Supervised Fine-tuning for Large...

Daily Paper Cast ·

2024/12/25

🤗 Upvotes: 64 | cs.CL, cs.AIAuthors: Junyu Luo, Xiao Luo, Kaize Ding, Jingyang Yuan, Zhiping Xiao, Ming Zhang Title: RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response Arxiv: http://arxiv.org/abs/2412.14922v1 Abstract: Supervised fine-tuning (SFT) plays a crucial role in adapting large language models (LLMs) to specific domains or tasks

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20:41

B-STaR: Monitoring and Balancing Exploration and...

Daily Paper Cast ·

2024/12/25

🤗 Upvotes: 29 | cs.AI, cs.CL, cs.LG Authors: Weihao Zeng, Yuzhen Huang, Lulu Zhao, Yijun Wang, Zifei Shan, Junxian He Title: B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners Arxiv: http://arxiv.org/abs/2412.17256v1 Abstract: In the absence of extensive human-annotated data for complex reasoning tasks, self-improvement -- where models are

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24:00

Distilled Decoding 1: One-step Sampling of Image...

Daily Paper Cast ·

2024/12/25

🤗 Upvotes: 26 | cs.CV, cs.LG Authors: Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin Title: Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching Arxiv: http://arxiv.org/abs/2412.17153v2 Abstract: Autoregressive (AR) models have achieved state-of-the-art performance in text and image generation but suffer from slow generation due to the

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21:08

Diving into Self-Evolving Training for Multimodal...

Daily Paper Cast ·

2024/12/25

🤗 Upvotes: 23 | cs.CL, cs.AI, cs.CV, cs.LG Authors: Wei Liu, Junlong Li, Xiwen Zhang, Fan Zhou, Yu Cheng, Junxian He Title: Diving into Self-Evolving Training for Multimodal Reasoning Arxiv: http://arxiv.org/abs/2412.17451v1 Abstract: Reasoning ability is essential for Large Multimodal Models (LMMs). In the absence of multimodal chain-of-thought annotated data, self-evolving

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22:28

Deliberation in Latent Space via Differentiable Cache...

Daily Paper Cast ·

2024/12/25

🤗 Upvotes: 16 | cs.CL, cs.AI, cs.LG Authors: Luyang Liu, Jonas Pfeiffer, Jiaxing Wu, Jun Xie, Arthur Szlam Title: Deliberation in Latent Space via Differentiable Cache Augmentation Arxiv: http://arxiv.org/abs/2412.17747v1 Abstract: Techniques enabling large language models (LLMs) to "think more" by generating and attending to intermediate reasoning steps have shown promise in

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25:08

Large Motion Video Autoencoding with Cross-modal...

Daily Paper Cast ·

2024/12/25

🤗 Upvotes: 15 | cs.CV Authors: Yazhou Xing, Yang Fei, Yingqing He, Jingye Chen, Jiaxin Xie, Xiaowei Chi, Qifeng Chen Title: Large Motion Video Autoencoding with Cross-modal Video VAE Arxiv: http://arxiv.org/abs/2412.17805v1 Abstract: Learning a robust video Variational Autoencoder (VAE) is essential for reducing video redundancy and facilitating efficient video generation

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25:01

OpenAI o1 System Card

Daily Paper Cast ·

2024/12/25

🤗 Upvotes: 12 | cs.AI Authors: OpenAI, :, Aaron Jaech, Adam Kalai, Adam Lerer, Adam Richardson, Ahmed El-Kishky, Aiden Low, Alec Helyar, Aleksander Madry, Alex Beutel, Alex Carney, Alex Iftimie, Alex Karpenko, Alex Tachard Passos, Alexander Neitz, Alexander Prokofiev, Alexander Wei, Allison Tam, Ally Bennett, Ananya Kumar, Andre Saraiva, Andrea Vallone, Andrew Duberstein, Andrew Kondrich, Andrey Mishchenko, Andy Applebaum, Angela Jiang, Ashvin Nair,

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23:40

Revisiting In-Context Learning with Long Context...

Daily Paper Cast ·

2024/12/25

🤗 Upvotes: 12 | cs.CL, cs.AI, cs.LG Authors: Jinheon Baek, Sun Jae Lee, Prakhar Gupta, Geunseob, Oh, Siddharth Dalmia, Prateek Kolhar Title: Revisiting In-Context Learning with Long Context Language Models Arxiv: http://arxiv.org/abs/2412.16926v1 Abstract: In-Context Learning (ICL) is a technique by which language models make predictions based on examples provided in their input

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21:12

Outcome-Refining Process Supervision for Code Generation

Daily Paper Cast ·

2024/12/25

🤗 Upvotes: 11 | cs.CL, cs.AI, cs.LG, cs.SE Authors: Zhuohao Yu, Weizheng Gu, Yidong Wang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang Title: Outcome-Refining Process Supervision for Code Generation Arxiv: http://arxiv.org/abs/2412.15118v1 Abstract: Large Language Models have demonstrated remarkable capabilities in code generation, yet they often struggle with complex

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27:18

LearnLM: Improving Gemini for Learning

Daily Paper Cast ·

2024/12/25

🤗 Upvotes: 9 | cs.CY, cs.AI, cs.LG Authors: LearnLM Team, Abhinit Modi, Aditya Srikanth Veerubhotla, Aliya Rysbek, Andrea Huber, Brett Wiltshire, Brian Veprek, Daniel Gillick, Daniel Kasenberg, Derek Ahmed, Irina Jurenka, James Cohan, Jennifer She, Julia Wilkowski, Kaiz Alarakyia, Kevin McKee, Lisa Wang, Markus Kunesch, Mike Schaekermann, Miruna Pîslar, Nikhil Joshi, Parsa Mahmoudieh, Paul Jhun, Sara Wiltberger, Shakir Mohamed, Shashank Agarwal,

en

22:32

Parallelized Autoregressive Visual Generation

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 34 | cs.CV Authors: Yuqing Wang, Shuhuai Ren, Zhijie Lin, Yujin Han, Haoyuan Guo, Zhenheng Yang, Difan Zou, Jiashi Feng, Xihui Liu Title: Parallelized Autoregressive Visual Generation Arxiv: http://arxiv.org/abs/2412.15119v1 Abstract: Autoregressive models have emerged as a powerful approach for visual generation but suffer from slow inference speed due to their

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20:59

Offline Reinforcement Learning for LLM Multi-Step...

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 19 | cs.LG, cs.AI, cs.CL Authors: Huaijie Wang, Shibo Hao, Hanze Dong, Shenao Zhang, Yilin Bao, Ziran Yang, Yi Wu Title: Offline Reinforcement Learning for LLM Multi-Step Reasoning Arxiv: http://arxiv.org/abs/2412.16145v1 Abstract: Improving the multi-step reasoning ability of large language models (LLMs) with offline reinforcement learning (RL) is essential for

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22:00

SCOPE: Optimizing Key-Value Cache Compression in...

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 17 | cs.CL Authors: Jialong Wu, Zhenglin Wang, Linhai Zhang, Yilong Lai, Yulan He, Deyu Zhou Title: SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation Arxiv: http://arxiv.org/abs/2412.13649v1 Abstract: Key-Value (KV) cache has become a bottleneck of LLMs for long-context generation. Despite the numerous efforts in this area, the optimization for

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1,967 results

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