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

25:28

Atla Selene Mini: A General Purpose Evaluation Model

Daily Paper Cast ·

2025/01/31

🤗 Upvotes: 24 | cs.CL, cs.AI Authors: Andrei Alexandru, Antonia Calvi, Henry Broomfield, Jackson Golden, Kyle Dai, Mathias Leys, Maurice Burger, Max Bartolo, Roman Engeler, Sashank Pisupati, Toby Drane, Young Sun Park Title: Atla Selene Mini: A General Purpose Evaluation Model Arxiv: http://arxiv.org/abs/2501.17195v1 Abstract: We introduce Atla Selene Mini, a state-of-the-art

en

28:39

Exploring the sustainable scaling of AI dilemma: A...

Daily Paper Cast ·

2025/01/31

🤗 Upvotes: 14 | cs.AI, cs.CY, cs.LG Authors: Clément Desroches, Martin Chauvin, Louis Ladan, Caroline Vateau, Simon Gosset, Philippe Cordier Title: Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Arxiv: http://arxiv.org/abs/2501.14334v2 Abstract: The rapid growth of artificial intelligence (AI), particularly Large

en

22:03

Early External Safety Testing of OpenAI's o3-mini:...

Daily Paper Cast ·

2025/01/31

🤗 Upvotes: 8 | cs.SE, cs.AI Authors: Aitor Arrieta, Miriam Ugarte, Pablo Valle, José Antonio Parejo, Sergio Segura Title: Early External Safety Testing of OpenAI's o3-mini: Insights from the Pre-Deployment Evaluation Arxiv: http://arxiv.org/abs/2501.17749v1 Abstract: Large Language Models (LLMs) have become an integral part of our daily lives. However, they impose certain risks,

en

22:14

Any2AnyTryon: Leveraging Adaptive Position Embeddings...

Daily Paper Cast ·

2025/01/31

🤗 Upvotes: 8 | cs.CV Authors: Hailong Guo, Bohan Zeng, Yiren Song, Wentao Zhang, Chuang Zhang, Jiaming Liu Title: Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks Arxiv: http://arxiv.org/abs/2501.15891v1 Abstract: Image-based virtual try-on (VTON) aims to generate a virtual try-on result by transferring an input garment onto a target

en

21:44

Virus: Harmful Fine-tuning Attack for Large Language...

Daily Paper Cast ·

2025/01/31

🤗 Upvotes: 6 | cs.CR, cs.AI, cs.CL, cs.LG Authors: Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu Title: Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation Arxiv: http://arxiv.org/abs/2501.17433v1 Abstract: Recent research shows that Large Language Models (LLMs) are vulnerable to harmful fine-tuning attacks -- models

en

19:42

People who frequently use ChatGPT for writing tasks...

Daily Paper Cast ·

2025/01/31

🤗 Upvotes: 6 | cs.CL, cs.AI Authors: Jenna Russell, Marzena Karpinska, Mohit Iyyer Title: People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text Arxiv: http://arxiv.org/abs/2501.15654v1 Abstract: In this paper, we study how well humans can detect text generated by commercial LLMs (GPT-4o, Claude, o1). We hire annotators to read

en

23:17

SFT Memorizes, RL Generalizes: A Comparative Study of...

Daily Paper Cast ·

2025/01/30

🤗 Upvotes: 29 | cs.AI, cs.CV, cs.LGAuthors: Tianzhe Chu, Yuexiang Zhai, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V. Le, Sergey Levine, Yi Ma Title: SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training Arxiv: http://arxiv.org/abs/2501.17161v1 Abstract: Supervised fine-tuning (SFT) and reinforcement learning (RL) are widely

en

22:09

Optimizing Large Language Model Training Using FP4...

Daily Paper Cast ·

2025/01/30

🤗 Upvotes: 15 | cs.LG, cs.CL Authors: Ruizhe Wang, Yeyun Gong, Xiao Liu, Guoshuai Zhao, Ziyue Yang, Baining Guo, Zhengjun Zha, Peng Cheng Title: Optimizing Large Language Model Training Using FP4 Quantization Arxiv: http://arxiv.org/abs/2501.17116v1 Abstract: The growing computational demands of training large language models (LLMs) necessitate more efficient methods. Quantized

en

23:00

DiffSplat: Repurposing Image Diffusion Models for...

Daily Paper Cast ·

2025/01/30

🤗 Upvotes: 11 | cs.CV Authors: Chenguo Lin, Panwang Pan, Bangbang Yang, Zeming Li, Yadong Mu Title: DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Arxiv: http://arxiv.org/abs/2501.16764v1 Abstract: Recent advancements in 3D content generation from text or a single image struggle with limited high-quality 3D datasets and inconsistency from 2D

en

23:23

Over-Tokenized Transformer: Vocabulary is Generally...

Daily Paper Cast ·

2025/01/30

🤗 Upvotes: 10 | cs.CL, cs.LG Authors: Hongzhi Huang, Defa Zhu, Banggu Wu, Yutao Zeng, Ya Wang, Qiyang Min, Xun Zhou Title: Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling Arxiv: http://arxiv.org/abs/2501.16975v1 Abstract: Tokenization is a fundamental component of large language models (LLMs), yet its influence on model scaling and performance is not fully

en

25:48

Open Problems in Mechanistic Interpretability

Daily Paper Cast ·

2025/01/30

🤗 Upvotes: 10 | cs.LG Authors: Lee Sharkey, Bilal Chughtai, Joshua Batson, Jack Lindsey, Jeff Wu, Lucius Bushnaq, Nicholas Goldowsky-Dill, Stefan Heimersheim, Alejandro Ortega, Joseph Bloom, Stella Biderman, Adria Garriga-Alonso, Arthur Conmy, Neel Nanda, Jessica Rumbelow, Martin Wattenberg, Nandi Schoots, Joseph Miller, Eric J. Michaud, Stephen Casper, Max Tegmark, William Saunders, David Bau, Eric Todd, Atticus Geiger, Mor Geva, Jesse Hoogland,

en

22:26

Low-Rank Adapters Meet Neural Architecture Search for...

Daily Paper Cast ·

2025/01/30

🤗 Upvotes: 5 | cs.LG, cs.AI, cs.CL Authors: J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain Title: Low-Rank Adapters Meet Neural Architecture Search for LLM Compression Arxiv: http://arxiv.org/abs/2501.16372v1 Abstract: The rapid expansion of Large Language Models (LLMs) has posed significant challenges regarding the computational resources required for fine-tuning and deployment

en

20:02

IndicMMLU-Pro: Benchmarking Indic Large Language...

Daily Paper Cast ·

2025/01/30

🤗 Upvotes: 4 | cs.CL, cs.AI Authors: Sankalp KJ, Ashutosh Kumar, Laxmaan Balaji, Nikunj Kotecha, Vinija Jain, Aman Chadha, Sreyoshi Bhaduri Title: IndicMMLU-Pro: Benchmarking Indic Large Language Models on Multi-Task Language Understanding Arxiv: http://arxiv.org/abs/2501.15747v2 Abstract: Known by more than 1.5 billion people in the Indian subcontinent, Indic languages present

en

20:44

Histoires Morales: A French Dataset for Assessing...

Daily Paper Cast ·

2025/01/30

🤗 Upvotes: 3 | cs.CL, cs.AI Authors: Thibaud Leteno, Irina Proskurina, Antoine Gourru, Julien Velcin, Charlotte Laclau, Guillaume Metzler, Christophe Gravier Title: Histoires Morales: A French Dataset for Assessing Moral Alignment Arxiv: http://arxiv.org/abs/2501.17117v1 Abstract: Aligning language models with human values is crucial, especially as they become more integrated

en

24:17

Qwen2.5-1M Technical Report

Daily Paper Cast ·

2025/01/29

🤗 Upvotes: 26 | cs.CLAuthors: An Yang, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoyan Huang, Jiandong Jiang, Jianhong Tu, Jianwei Zhang, Jingren Zhou, Junyang Lin, Kai Dang, Kexin Yang, Le Yu, Mei Li, Minmin Sun, Qin Zhu, Rui Men, Tao He, Weijia Xu, Wenbiao Yin, Wenyuan Yu, Xiafei Qiu, Xingzhang Ren, Xinlong Yang, Yong Li, Zhiying Xu, Zipeng Zhang Title: Qwen2.5-1M Technical Report Arxiv:

en

20:45

ARWKV: Pretrain is not what we need, an...

Daily Paper Cast ·

2025/01/29

🤗 Upvotes: 13 | cs.CL Authors: Lin Yueyu, Li Zhiyuan, Peter Yue, Liu Xiao Title: ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer Arxiv: http://arxiv.org/abs/2501.15570v1 Abstract: As is known, hybrid quadratic and subquadratic attention models in multi-head architectures have surpassed both Transformer and Linear RNN models , with

en

20:53

Towards General-Purpose Model-Free Reinforcement...

Daily Paper Cast ·

2025/01/29

🤗 Upvotes: 13 | cs.LG, cs.AI Authors: Scott Fujimoto, Pierluca D'Oro, Amy Zhang, Yuandong Tian, Michael Rabbat Title: Towards General-Purpose Model-Free Reinforcement Learning Arxiv: http://arxiv.org/abs/2501.16142v1 Abstract: Reinforcement learning (RL) promises a framework for near-universal problem-solving. In practice however, RL algorithms are often tailored to specific

en

22:02

Emilia: A Large-Scale, Extensive, Multilingual, and...

Daily Paper Cast ·

2025/01/29

🤗 Upvotes: 11 | cs.SD, cs.CL, eess.AS Authors: Haorui He, Zengqiang Shang, Chaoren Wang, Xuyuan Li, Yicheng Gu, Hua Hua, Liwei Liu, Chen Yang, Jiaqi Li, Peiyang Shi, Yuancheng Wang, Kai Chen, Pengyuan Zhang, Zhizheng Wu Title: Emilia: A Large-Scale, Extensive, Multilingual, and Diverse Dataset for Speech Generation Arxiv: http://arxiv.org/abs/2501.15907v1 Abstract: Recent

en

24:01

iFormer: Integrating ConvNet and Transformer for...

Daily Paper Cast ·

2025/01/29

🤗 Upvotes: 9 | cs.CV, cs.AI Authors: Chuanyang Zheng Title: iFormer: Integrating ConvNet and Transformer for Mobile Application Arxiv: http://arxiv.org/abs/2501.15369v1 Abstract: We present a new family of mobile hybrid vision networks, called iFormer, with a focus on optimizing latency and accuracy on mobile applications. iFormer effectively integrates the fast local

en

24:59

Are Vision Language Models Texture or Shape Biased...

Daily Paper Cast ·

2025/01/29

🤗 Upvotes: 7 | cs.CV, cs.AI, cs.LG, q-bio.NC Authors: Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Bianca Lamm, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper Title: Are Vision Language Models Texture or Shape Biased and Can We Steer Them? Arxiv: http://arxiv.org/abs/2403.09193v1 Abstract: Vision language models (VLMs) have drastically changed the computer

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