x

75% of people globally want unbiased news (Pew Research) but are concerned they're not getting that.

Get balanced coverage with Symby. See how stories are covered across diverse outlets and spot when one side covers a story the other skips.

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

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

en

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,

en

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

en

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

en

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

en

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

en

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

en

25:23

CLEAR: Conv-Like Linearization Revs Pre-Trained...

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 13 | cs.CV Authors: Songhua Liu, Zhenxiong Tan, Xinchao Wang Title: CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up Arxiv: http://arxiv.org/abs/2412.16112v1 Abstract: Diffusion Transformers (DiT) have become a leading architecture in image generation. However, the quadratic complexity of attention mechanisms, which are responsible for

en

23:23

Taming Multimodal Joint Training for High-Quality...

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 12 | cs.CV, cs.LG, cs.SD, eess.AS Authors: Ho Kei Cheng, Masato Ishii, Akio Hayakawa, Takashi Shibuya, Alexander Schwing, Yuki Mitsufuji Title: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis Arxiv: http://arxiv.org/abs/2412.15322v1 Abstract: We propose to synthesize high-quality and synchronized audio, given video and optional text

en

28:03

Toward Robust Hyper-Detailed Image Captioning: A...

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 9 | cs.CV Authors: Saehyung Lee, Seunghyun Yoon, Trung Bui, Jing Shi, Sungroh Yoon Title: Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage Arxiv: http://arxiv.org/abs/2412.15484v1 Abstract: Multimodal large language models (MLLMs) excel at generating highly detailed captions but often produce

en

22:10

Sequence Matters: Harnessing Video Models in 3D...

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 6 | cs.CV, 68U10, 68T10, I.4.5; I.2.10 Authors: Hyun-kyu Ko, Dongheok Park, Youngin Park, Byeonghyeon Lee, Juhee Han, Eunbyung Park Title: Sequence Matters: Harnessing Video Models in 3D Super-Resolution Arxiv: http://arxiv.org/abs/2412.11525v3 Abstract: 3D super-resolution aims to reconstruct high-fidelity 3D models from low-resolution (LR) multi-view images. Early

en

25:04

TRecViT: A Recurrent Video Transformer

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 5 | cs.CV, cs.LG Authors: Viorica Pătrăucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, João Carreira, Razvan Pascanu Title: TRecViT: A Recurrent Video Transformer Arxiv: http://arxiv.org/abs/2412.14294v1 Abstract: We propose a novel block for video

en

23:01

MixLLM: LLM Quantization with Global Mixed-precision...

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 4 | cs.LG Authors: Zhen Zheng, Xiaonan Song, Chuanjie Liu Title: MixLLM: LLM Quantization with Global Mixed-precision between Output-features and Highly-efficient System Design Arxiv: http://arxiv.org/abs/2412.14590v1 Abstract: Quantization has become one of the most effective methodologies to compress LLMs into smaller size. However, the existing quantization

en

23:19

Multi-LLM Text Summarization

Daily Paper Cast ·

2024/12/24

🤗 Upvotes: 3 | cs.CL Authors: Jiangnan Fang, Cheng-Tse Liu, Jieun Kim, Yash Bhedaru, Ethan Liu, Nikhil Singh, Nedim Lipka, Puneet Mathur, Nesreen K. Ahmed, Franck Dernoncourt, Ryan A. Rossi, Hanieh Deilamsalehy Title: Multi-LLM Text Summarization Arxiv: http://arxiv.org/abs/2412.15487v1 Abstract: In this work, we propose a Multi-LLM summarization framework, and investigate two

en

25:31

Qwen2.5 Technical Report

Daily Paper Cast ·

2024/12/21

🤗 Upvotes: 236 | cs.CL Authors: Qwen, :, An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoran Wei, Huan Lin, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Yang, Jiaxi Yang, Jingren Zhou, Junyang Lin, Kai Dang, Keming Lu, Keqin Bao, Kexin Yang, Le Yu, Mei Li, Mingfeng Xue, Pei Zhang, Qin Zhu, Rui Men, Runji Lin, Tianhao Li, Tingyu Xia, Xingzhang Ren, Xuancheng Ren, Yang Fan, Yang Su,

en

23:02

MegaPairs: Massive Data Synthesis For Universal...

Daily Paper Cast ·

2024/12/21

🤗 Upvotes: 44 | cs.CV, cs.CL Authors: Junjie Zhou, Zheng Liu, Ze Liu, Shitao Xiao, Yueze Wang, Bo Zhao, Chen Jason Zhang, Defu Lian, Yongping Xiong Title: MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval Arxiv: http://arxiv.org/abs/2412.14475v1 Abstract: Despite the rapidly growing demand for multimodal retrieval, progress in this field remains severely

en

23:11

LongBench v2: Towards Deeper Understanding and...

Daily Paper Cast ·

2024/12/21

🤗 Upvotes: 23 | cs.CL, cs.AI Authors: Yushi Bai, Shangqing Tu, Jiajie Zhang, Hao Peng, Xiaozhi Wang, Xin Lv, Shulin Cao, Jiazheng Xu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li Title: LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks Arxiv: http://arxiv.org/abs/2412.15204v1 Abstract: This paper introduces LongBench v2, a benchmark

en

24:20

How to Synthesize Text Data without Model Collapse?

Daily Paper Cast ·

2024/12/21

🤗 Upvotes: 19 | cs.CL, cs.AI, cs.LG Authors: Xuekai Zhu, Daixuan Cheng, Hengli Li, Kaiyan Zhang, Ermo Hua, Xingtai Lv, Ning Ding, Zhouhan Lin, Zilong Zheng, Bowen Zhou Title: How to Synthesize Text Data without Model Collapse? Arxiv: http://arxiv.org/abs/2412.14689v1 Abstract: Model collapse in synthetic data indicates that iterative training on self-generated data leads to a

en

19:57

Flowing from Words to Pixels: A Framework for...

Daily Paper Cast ·

2024/12/21

🤗 Upvotes: 17 | cs.CV Authors: Qihao Liu, Xi Yin, Alan Yuille, Andrew Brown, Mannat Singh Title: Flowing from Words to Pixels: A Framework for Cross-Modality Evolution Arxiv: http://arxiv.org/abs/2412.15213v1 Abstract: Diffusion models, and their generalization, flow matching, have had a remarkable impact on the field of media generation. Here, the conventional approach is to

en

2,195 results

Similar Podcasts

Realitätstheorie

Benjamin Ewers, Raoul-Amadeus Lorbeer

Live Like a Girl with Dr. Mindy Pelz

Dr. Mindy Pelz

Heliox: Where Evidence Meets Empathy 🇨🇦‬

by SC Zoomers

Science Fiction Radio Hour

solgoodmedia.com

Science Fiction Radio

solgoodmedia.com