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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

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

23:04

CodeMonkeys: Scaling Test-Time Compute for Software...

Daily Paper Cast ·

2025/01/29

🤗 Upvotes: 5 | cs.LG Authors: Ryan Ehrlich, Bradley Brown, Jordan Juravsky, Ronald Clark, Christopher Ré, Azalia Mirhoseini Title: CodeMonkeys: Scaling Test-Time Compute for Software Engineering Arxiv: http://arxiv.org/abs/2501.14723v1 Abstract: Scaling test-time compute is a promising axis for improving LLM capabilities. However, test-time compute can be scaled in a variety of

en

21:21

Parameters vs FLOPs: Scaling Laws for Optimal...

Daily Paper Cast ·

2025/01/29

🤗 Upvotes: 4 | cs.LG, cs.AI Authors: Samira Abnar, Harshay Shah, Dan Busbridge, Alaaeldin Mohamed Elnouby Ali, Josh Susskind, Vimal Thilak Title: Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models Arxiv: http://arxiv.org/abs/2501.12370v2 Abstract: Scaling the capacity of language models has consistently proven to be a reliable approach

en

22:51

Humanity's Last Exam

Daily Paper Cast ·

2025/01/28

🤗 Upvotes: 33 | cs.LG, cs.AI, cs.CL Authors: Long Phan, Alice Gatti, Ziwen Han, Nathaniel Li, Josephina Hu, Hugh Zhang, Sean Shi, Michael Choi, Anish Agrawal, Arnav Chopra, Adam Khoja, Ryan Kim, Jason Hausenloy, Oliver Zhang, Mantas Mazeika, Daron Anderson, Tung Nguyen, Mobeen Mahmood, Fiona Feng, Steven Y. Feng, Haoran Zhao, Michael Yu, Varun Gangal, Chelsea Zou, Zihan Wang, Jessica P. Wang, Pawan Kumar, Oleksandr Pokutnyi, Robert Gerbicz, Serguei

en

23:23

Chain-of-Retrieval Augmented Generation

Daily Paper Cast ·

2025/01/28

🤗 Upvotes: 26 | cs.IR, cs.CL Authors: Liang Wang, Haonan Chen, Nan Yang, Xiaolong Huang, Zhicheng Dou, Furu Wei Title: Chain-of-Retrieval Augmented Generation Arxiv: http://arxiv.org/abs/2501.14342v1 Abstract: This paper introduces an approach for training o1-like RAG models that retrieve and reason over relevant information step by step before generating the final answer

en

22:20

Redundancy Principles for MLLMs Benchmarks

Daily Paper Cast ·

2025/01/28

🤗 Upvotes: 22 | cs.CL, cs.AI Authors: Zicheng Zhang, Xiangyu Zhao, Xinyu Fang, Chunyi Li, Xiaohong Liu, Xiongkuo Min, Haodong Duan, Kai Chen, Guangtao Zhai Title: Redundancy Principles for MLLMs Benchmarks Arxiv: http://arxiv.org/abs/2501.13953v1 Abstract: With the rapid iteration of Multi-modality Large Language Models (MLLMs) and the evolving demands of the field, the number

en

23:35

RealCritic: Towards Effectiveness-Driven Evaluation...

Daily Paper Cast ·

2025/01/28

🤗 Upvotes: 13 | cs.CL, cs.AI, cs.LG Authors: Zhengyang Tang, Ziniu Li, Zhenyang Xiao, Tian Ding, Ruoyu Sun, Benyou Wang, Dayiheng Liu, Fei Huang, Tianyu Liu, Bowen Yu, Junyang Lin Title: RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques Arxiv: http://arxiv.org/abs/2501.14492v1 Abstract: Critiques are important for enhancing the performance of Large

en

24:24

RL + Transformer = A General-Purpose Problem Solver

Daily Paper Cast ·

2025/01/28

🤗 Upvotes: 7 | cs.LG, cs.AI Authors: Micah Rentschler, Jesse Roberts Title: RL + Transformer = A General-Purpose Problem Solver Arxiv: http://arxiv.org/abs/2501.14176v1 Abstract: What if artificial intelligence could not only solve problems for which it was trained but also learn to teach itself to solve new problems (i.e., meta-learn)? In this study, we demonstrate that a

en

20:53

Relightable Full-Body Gaussian Codec Avatars

Daily Paper Cast ·

2025/01/28

🤗 Upvotes: 5 | cs.CV, cs.GR Authors: Shaofei Wang, Tomas Simon, Igor Santesteban, Timur Bagautdinov, Junxuan Li, Vasu Agrawal, Fabian Prada, Shoou-I Yu, Pace Nalbone, Matt Gramlich, Roman Lubachersky, Chenglei Wu, Javier Romero, Jason Saragih, Michael Zollhoefer, Andreas Geiger, Siyu Tang, Shunsuke Saito Title: Relightable Full-Body Gaussian Codec Avatars Arxiv: http://arxiv.org/abs/2501.14726v1

en

1,967 results

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