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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

18:12

QLASS: Boosting Language Agent Inference via Q-Guided...

Daily Paper Cast ·

2025/02/06

🤗 Upvotes: 12 | cs.LG, cs.AI Authors: Zongyu Lin, Yao Tang, Xingcheng Yao, Da Yin, Ziniu Hu, Yizhou Sun, Kai-Wei Chang Title: QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search Arxiv: http://arxiv.org/abs/2502.02584v1 Abstract: Language agents have become a promising solution to complex interactive tasks. One of the key ingredients to the success of language

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24:08

Satori: Reinforcement Learning with...

Daily Paper Cast ·

2025/02/06

🤗 Upvotes: 12 | cs.CL, cs.AI Authors: Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen, Wei Lu, Gregory Wornell, Subhro Das, David Cox, Chuang Gan Title: Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search Arxiv: http://arxiv.org/abs/2502.02508v1 Abstract: Large language models (LLMs) have

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23:34

Rethinking Mixture-of-Agents: Is Mixing Different...

Daily Paper Cast ·

2025/02/06

🤗 Upvotes: 7 | cs.CL, cs.LG Authors: Wenzhe Li, Yong Lin, Mengzhou Xia, Chi Jin Title: Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial? Arxiv: http://arxiv.org/abs/2502.00674v1 Abstract: Ensembling outputs from diverse sources is a straightforward yet effective approach to boost performance. Mixture-of-Agents (MoA) is one such popular ensemble

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24:59

COCONut-PanCap: Joint Panoptic Segmentation and...

Daily Paper Cast ·

2025/02/06

🤗 Upvotes: 7 | cs.CV Authors: Xueqing Deng, Qihang Yu, Ali Athar, Chenglin Yang, Linjie Yang, Xiaojie Jin, Xiaohui Shen, Liang-Chieh Chen Title: COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation Arxiv: http://arxiv.org/abs/2502.02589v1 Abstract: This paper introduces the COCONut-PanCap dataset, created to enhance

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20:11

The Differences Between Direct Alignment Algorithms...

Daily Paper Cast ·

2025/02/05

🤗 Upvotes: 84 | cs.LGAuthors: Alexey Gorbatovski, Boris Shaposhnikov, Viacheslav Sinii, Alexey Malakhov, Daniil Gavrilov Title: The Differences Between Direct Alignment Algorithms are a Blur Arxiv: http://arxiv.org/abs/2502.01237v1 Abstract: Direct Alignment Algorithms (DAAs) simplify language model alignment by replacing reinforcement learning (RL) and reward modeling (RM) in

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26:24

OmniHuman-1: Rethinking the Scaling-Up of One-Stage...

Daily Paper Cast ·

2025/02/05

🤗 Upvotes: 83 | cs.CV Authors: Gaojie Lin, Jianwen Jiang, Jiaqi Yang, Zerong Zheng, Chao Liang Title: OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models Arxiv: http://arxiv.org/abs/2502.01061v1 Abstract: End-to-end human animation, such as audio-driven talking human generation, has undergone notable advancements in the recent few years

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21:51

Process Reinforcement through Implicit Rewards

Daily Paper Cast ·

2025/02/05

🤗 Upvotes: 44 | cs.LG, cs.AI, cs.CL Authors: Ganqu Cui, Lifan Yuan, Zefan Wang, Hanbin Wang, Wendi Li, Bingxiang He, Yuchen Fan, Tianyu Yu, Qixin Xu, Weize Chen, Jiarui Yuan, Huayu Chen, Kaiyan Zhang, Xingtai Lv, Shuo Wang, Yuan Yao, Xu Han, Hao Peng, Yu Cheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou, Ning Ding Title: Process Reinforcement through Implicit Rewards Arxiv: http://arxiv.org/abs/2502.01456v1

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23:27

AlignVLM: Bridging Vision and Language Latent Spaces...

Daily Paper Cast ·

2025/02/05

🤗 Upvotes: 25 | cs.CL Authors: Ahmed Masry, Juan A. Rodriguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-André Noël, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam H. Laradji, David Vazquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar Title: AlignVLM: Bridging Vision and Language

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23:34

SafeRAG: Benchmarking Security in Retrieval-Augmented...

Daily Paper Cast ·

2025/02/05

🤗 Upvotes: 25 | cs.CR, cs.AI, cs.IR Authors: Xun Liang, Simin Niu, Zhiyu Li, Sensen Zhang, Hanyu Wang, Feiyu Xiong, Jason Zhaoxin Fan, Bo Tang, Shichao Song, Mengwei Wang, Jiawei Yang Title: SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model Arxiv: http://arxiv.org/abs/2501.18636v1 Abstract: The indexing-retrieval-generation paradigm of

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21:56

Preference Leakage: A Contamination Problem in...

Daily Paper Cast ·

2025/02/05

🤗 Upvotes: 25 | cs.LG, cs.AI, cs.CL Authors: Dawei Li, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang, Jiawei Han, Xiangliang Zhang, Wei Wang, Huan Liu Title: Preference Leakage: A Contamination Problem in LLM-as-a-judge Arxiv: http://arxiv.org/abs/2502.01534v1 Abstract: Large Language Models (LLMs) as judges and LLM-based data synthesis have emerged as two fundamental

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25:02

SliderSpace: Decomposing the Visual Capabilities of...

Daily Paper Cast ·

2025/02/05

🤗 Upvotes: 19 | cs.CV, cs.GR, cs.LG Authors: Rohit Gandikota, Zongze Wu, Richard Zhang, David Bau, Eli Shechtman, Nick Kolkin Title: SliderSpace: Decomposing the Visual Capabilities of Diffusion Models Arxiv: http://arxiv.org/abs/2502.01639v1 Abstract: We present SliderSpace, a framework for automatically decomposing the visual capabilities of diffusion models into controllable

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24:39

MM-IQ: Benchmarking Human-Like Abstraction and...

Daily Paper Cast ·

2025/02/05

🤗 Upvotes: 15 | cs.AI, cs.CV Authors: Huanqia Cai, Yijun Yang, Winston Hu Title: MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models Arxiv: http://arxiv.org/abs/2502.00698v1 Abstract: IQ testing has served as a foundational methodology for evaluating human cognitive capabilities, deliberately decoupling assessment from linguistic background, language

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20:32

AIN: The Arabic INclusive Large Multimodal Model

Daily Paper Cast ·

2025/02/05

🤗 Upvotes: 12 | cs.CV, cs.AI, cs.CL, cs.HC, cs.LG Authors: Ahmed Heakl, Sara Ghaboura, Omkar Thawkar, Fahad Shahbaz Khan, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan Title: AIN: The Arabic INclusive Large Multimodal Model Arxiv: http://arxiv.org/abs/2502.00094v1 Abstract: Amid the swift progress of large language models (LLMs) and their evolution into large multimodal

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22:36

s1: Simple test-time scaling

Daily Paper Cast ·

2025/02/04

🤗 Upvotes: 54 | cs.CL, cs.AI, cs.LG Authors: Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel Candès, Tatsunori Hashimoto Title: s1: Simple test-time scaling Arxiv: http://arxiv.org/abs/2501.19393v1 Abstract: Test-time scaling is a promising new approach to language modeling that uses extra

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21:49

Reward-Guided Speculative Decoding for Efficient LLM...

Daily Paper Cast ·

2025/02/04

🤗 Upvotes: 28 | cs.CL, cs.AI Authors: Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong Title: Reward-Guided Speculative Decoding for Efficient LLM Reasoning Arxiv: http://arxiv.org/abs/2501.19324v1 Abstract: We introduce Reward-Guided Speculative Decoding (RSD), a novel framework aimed at improving the efficiency of

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21:27

Self-supervised Quantized Representation for...

Daily Paper Cast ·

2025/02/04

🤗 Upvotes: 12 | cs.CL, cs.AI Authors: Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng Title: Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models Arxiv: http://arxiv.org/abs/2501.18119v1 Abstract: Due to the presence of the natural gap between Knowledge Graph (KG) structures

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20:07

PixelWorld: Towards Perceiving Everything as Pixels

Daily Paper Cast ·

2025/02/04

🤗 Upvotes: 10 | cs.CV, cs.CL Authors: Zhiheng Lyu, Xueguang Ma, Wenhu Chen Title: PixelWorld: Towards Perceiving Everything as Pixels Arxiv: http://arxiv.org/abs/2501.19339v1 Abstract: Existing foundation models typically process visual input as pixels and textual input as tokens, a paradigm that contrasts with human perception, where both modalities are processed in a unified

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20:19

DINO-WM: World Models on Pre-trained Visual Features...

Daily Paper Cast ·

2025/02/04

🤗 Upvotes: 8 | cs.RO, cs.AI Authors: Gaoyue Zhou, Hengkai Pan, Yann LeCun, Lerrel Pinto Title: DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning Arxiv: http://arxiv.org/abs/2411.04983v2 Abstract: The ability to predict future outcomes given control actions is fundamental for physical reasoning. However, such predictive models, often called world

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20:55

Constitutional Classifiers: Defending against...

Daily Paper Cast ·

2025/02/04

🤗 Upvotes: 6 | cs.CL, cs.AI, cs.CR, cs.LG Authors: Mrinank Sharma, Meg Tong, Jesse Mu, Jerry Wei, Jorrit Kruthoff, Scott Goodfriend, Euan Ong, Alwin Peng, Raj Agarwal, Cem Anil, Amanda Askell, Nathan Bailey, Joe Benton, Emma Bluemke, Samuel R. Bowman, Eric Christiansen, Hoagy Cunningham, Andy Dau, Anjali Gopal, Rob Gilson, Logan Graham, Logan Howard, Nimit Kalra, Taesung Lee, Kevin Lin, Peter Lofgren, Francesco Mosconi, Clare O'Hara, Catherine Olsson,

en

23:31

Scalable-Softmax Is Superior for Attention

Daily Paper Cast ·

2025/02/04

🤗 Upvotes: 6 | cs.CL, cs.AI, cs.LG Authors: Ken M. Nakanishi Title: Scalable-Softmax Is Superior for Attention Arxiv: http://arxiv.org/abs/2501.19399v1 Abstract: The maximum element of the vector output by the Softmax function approaches zero as the input vector size increases. Transformer-based language models rely on Softmax to compute attention scores, causing the attention

en

1,967 results

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