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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:

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All Episodes

21:44

Boosting Multimodal Reasoning with MCTS-Automated...

Daily Paper Cast ·

2025/02/07

🤗 Upvotes: 10 | cs.CL Authors: Jinyang Wu, Mingkuan Feng, Shuai Zhang, Ruihan Jin, Feihu Che, Zengqi Wen, Jianhua Tao Title: Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking Arxiv: http://arxiv.org/abs/2502.02339v1 Abstract: Multimodal large language models (MLLMs) exhibit impressive capabilities but still face challenges in complex visual reasoning. While

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25:33

LayerTracer: Cognitive-Aligned Layered SVG Synthesis...

Daily Paper Cast ·

2025/02/07

🤗 Upvotes: 7 | cs.CV Authors: Yiren Song, Danze Chen, Mike Zheng Shou Title: LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer Arxiv: http://arxiv.org/abs/2502.01105v1 Abstract: Generating cognitive-aligned layered SVGs remains challenging due to existing methods' tendencies toward either oversimplified single-layer outputs or optimization-induced

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21:01

On Teacher Hacking in Language Model Distillation

Daily Paper Cast ·

2025/02/07

🤗 Upvotes: 6 | cs.LG, cs.AI, cs.CL, stat.ML Authors: Daniil Tiapkin, Daniele Calandriello, Johan Ferret, Sarah Perrin, Nino Vieillard, Alexandre Ramé, Mathieu Blondel Title: On Teacher Hacking in Language Model Distillation Arxiv: http://arxiv.org/abs/2502.02671v1 Abstract: Post-training of language models (LMs) increasingly relies on the following two stages: (i) knowledge

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24:05

A Probabilistic Inference Approach to Inference-Time...

Daily Paper Cast ·

2025/02/07

🤗 Upvotes: 5 | cs.LG, cs.AI Authors: Isha Puri, Shivchander Sudalairaj, Guangxuan Xu, Kai Xu, Akash Srivastava Title: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods Arxiv: http://arxiv.org/abs/2502.01618v2 Abstract: Large language models (LLMs) have achieved significant performance gains via scaling up model sizes

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20:08

Jailbreaking with Universal Multi-Prompts

Daily Paper Cast ·

2025/02/07

🤗 Upvotes: 4 | cs.CL, cs.AI, cs.CR, cs.LG Authors: Yu-Ling Hsu, Hsuan Su, Shang-Tse Chen Title: Jailbreaking with Universal Multi-Prompts Arxiv: http://arxiv.org/abs/2502.01154v1 Abstract: Large language models (LLMs) have seen rapid development in recent years, revolutionizing various applications and significantly enhancing convenience and productivity. However, alongside

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19:27

VideoJAM: Joint Appearance-Motion Representations for...

Daily Paper Cast ·

2025/02/06

🤗 Upvotes: 29 | cs.CVAuthors: Hila Chefer, Uriel Singer, Amit Zohar, Yuval Kirstain, Adam Polyak, Yaniv Taigman, Lior Wolf, Shelly Sheynin Title: VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Arxiv: http://arxiv.org/abs/2502.02492v1 Abstract: Despite tremendous recent progress, generative video models still struggle to capture

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19:48

Inverse Bridge Matching Distillation

Daily Paper Cast ·

2025/02/06

🤗 Upvotes: 22 | cs.LG, cs.CV Authors: Nikita Gushchin, David Li, Daniil Selikhanovych, Evgeny Burnaev, Dmitry Baranchuk, Alexander Korotin Title: Inverse Bridge Matching Distillation Arxiv: http://arxiv.org/abs/2502.01362v1 Abstract: Learning diffusion bridge models is easy; making them fast and practical is an art. Diffusion bridge models (DBMs) are a promising extension of

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20:06

ACECODER: Acing Coder RL via Automated Test-Case...

Daily Paper Cast ·

2025/02/06

🤗 Upvotes: 16 | cs.SE, cs.AI, cs.CL Authors: Huaye Zeng, Dongfu Jiang, Haozhe Wang, Ping Nie, Xiaotong Chen, Wenhu Chen Title: ACECODER: Acing Coder RL via Automated Test-Case Synthesis Arxiv: http://arxiv.org/abs/2502.01718v1 Abstract: Most progress in recent coder models has been driven by supervised fine-tuning (SFT), while the potential of reinforcement learning (RL) remains

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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

en

2,195 results

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