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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

20:02

Small Models Struggle to Learn from Strong Reasoners

Daily Paper Cast ·

2025/02/21

🤗 Upvotes: 17 | cs.AI Authors: Yuetai Li, Xiang Yue, Zhangchen Xu, Fengqing Jiang, Luyao Niu, Bill Yuchen Lin, Bhaskar Ramasubramanian, Radha Poovendran Title: Small Models Struggle to Learn from Strong Reasoners Arxiv: http://arxiv.org/abs/2502.12143v1 Abstract: Large language models (LLMs) excel in complex reasoning tasks, and distilling their reasoning capabilities into

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22:30

Autellix: An Efficient Serving Engine for LLM Agents...

Daily Paper Cast ·

2025/02/21

🤗 Upvotes: 15 | cs.LG, cs.AI, cs.DC Authors: Michael Luo, Xiaoxiang Shi, Colin Cai, Tianjun Zhang, Justin Wong, Yichuan Wang, Chi Wang, Yanping Huang, Zhifeng Chen, Joseph E. Gonzalez, Ion Stoica Title: Autellix: An Efficient Serving Engine for LLM Agents as General Programs Arxiv: http://arxiv.org/abs/2502.13965v1 Abstract: Large language model (LLM) applications are evolving

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22:04

SearchRAG: Can Search Engines Be Helpful for...

Daily Paper Cast ·

2025/02/21

🤗 Upvotes: 10 | cs.CL, cs.AI, cs.IR, cs.IT, math.IT Authors: Yucheng Shi, Tianze Yang, Canyu Chen, Quanzheng Li, Tianming Liu, Xiang Li, Ninghao Liu Title: SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering? Arxiv: http://arxiv.org/abs/2502.13233v1 Abstract: Large Language Models (LLMs) have shown remarkable capabilities in general domains but

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21:52

Soundwave: Less is More for Speech-Text Alignment in...

Daily Paper Cast ·

2025/02/20

🤗 Upvotes: 65 | cs.CL, cs.AI, cs.SDAuthors: Yuhao Zhang, Zhiheng Liu, Fan Bu, Ruiyu Zhang, Benyou Wang, Haizhou Li Title: Soundwave: Less is More for Speech-Text Alignment in LLMs Arxiv: http://arxiv.org/abs/2502.12900v1 Abstract: Existing end-to-end speech large language models (LLMs) usually rely on large-scale annotated data for training, while data-efficient training has

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23:08

Cramming 1568 Tokens into a Single Vector and Back...

Daily Paper Cast ·

2025/02/20

🤗 Upvotes: 51 | cs.CL, cs.LG Authors: Yuri Kuratov, Mikhail Arkhipov, Aydar Bulatov, Mikhail Burtsev Title: Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity Arxiv: http://arxiv.org/abs/2502.13063v1 Abstract: A range of recent works addresses the problem of compression of sequence of tokens into a shorter sequence of

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18:43

Continuous Diffusion Model for Language Modeling

Daily Paper Cast ·

2025/02/20

🤗 Upvotes: 44 | cs.LG Authors: Jaehyeong Jo, Sung Ju Hwang Title: Continuous Diffusion Model for Language Modeling Arxiv: http://arxiv.org/abs/2502.11564v1 Abstract: Diffusion models have emerged as a promising alternative to autoregressive models in modeling discrete categorical data. Yet diffusion models that directly work on discrete data space do not fully exploit the power

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21:18

Phantom: Subject-consistent video generation via...

Daily Paper Cast ·

2025/02/20

🤗 Upvotes: 42 | cs.CV, cs.AI Authors: Lijie Liu, Tianxiang Ma, Bingchuan Li, Zhuowei Chen, Jiawei Liu, Qian He, Xinglong Wu Title: Phantom: Subject-consistent video generation via cross-modal alignment Arxiv: http://arxiv.org/abs/2502.11079v1 Abstract: The continuous development of foundational models for video generation is evolving into various applications, with

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22:39

Rethinking Diverse Human Preference Learning through...

Daily Paper Cast ·

2025/02/20

🤗 Upvotes: 33 | cs.AI, cs.CL Authors: Feng Luo, Rui Yang, Hao Sun, Chunyuan Deng, Jiarui Yao, Jingyan Shen, Huan Zhang, Hanjie Chen Title: Rethinking Diverse Human Preference Learning through Principal Component Analysis Arxiv: http://arxiv.org/abs/2502.13131v1 Abstract: Understanding human preferences is crucial for improving foundation models and building personalized AI

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23:02

Magma: A Foundation Model for Multimodal AI Agents

Daily Paper Cast ·

2025/02/20

🤗 Upvotes: 30 | cs.CV, cs.AI, cs.HC, cs.LG, cs.RO Authors: Jianwei Yang, Reuben Tan, Qianhui Wu, Ruijie Zheng, Baolin Peng, Yongyuan Liang, Yu Gu, Mu Cai, Seonghyeon Ye, Joel Jang, Yuquan Deng, Lars Liden, Jianfeng Gao Title: Magma: A Foundation Model for Multimodal AI Agents Arxiv: http://arxiv.org/abs/2502.13130v1 Abstract: We present Magma, a foundation model that serves

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21:52

Multimodal Mamba: Decoder-only Multimodal State Space...

Daily Paper Cast ·

2025/02/20

🤗 Upvotes: 29 | cs.CV Authors: Bencheng Liao, Hongyuan Tao, Qian Zhang, Tianheng Cheng, Yingyue Li, Haoran Yin, Wenyu Liu, Xinggang Wang Title: Multimodal Mamba: Decoder-only Multimodal State Space Model via Quadratic to Linear Distillation Arxiv: http://arxiv.org/abs/2502.13145v1 Abstract: Recent Multimodal Large Language Models (MLLMs) have achieved remarkable performance but

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21:29

SoFar: Language-Grounded Orientation Bridges Spatial...

Daily Paper Cast ·

2025/02/20

🤗 Upvotes: 27 | cs.RO, cs.AI, cs.CV Authors: Zekun Qi, Wenyao Zhang, Yufei Ding, Runpei Dong, Xinqiang Yu, Jingwen Li, Lingyun Xu, Baoyu Li, Xialin He, Guofan Fan, Jiazhao Zhang, Jiawei He, Jiayuan Gu, Xin Jin, Kaisheng Ma, Zhizheng Zhang, He Wang, Li Yi Title: SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation Arxiv: http://arxiv.org/abs/2502.13143v1

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20:32

SafeRoute: Adaptive Model Selection for Efficient and...

Daily Paper Cast ·

2025/02/20

🤗 Upvotes: 26 | cs.CL Authors: Seanie Lee, Dong Bok Lee, Dominik Wagner, Minki Kang, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang Title: SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models Arxiv: http://arxiv.org/abs/2502.12464v1 Abstract: Deploying large language models (LLMs) in real-world applications requires

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20:56

You Do Not Fully Utilize Transformer's Representation...

Daily Paper Cast ·

2025/02/20

🤗 Upvotes: 25 | cs.LG, cs.CL Authors: Gleb Gerasimov, Yaroslav Aksenov, Nikita Balagansky, Viacheslav Sinii, Daniil Gavrilov Title: You Do Not Fully Utilize Transformer's Representation Capacity Arxiv: http://arxiv.org/abs/2502.09245v1 Abstract: In contrast to RNNs, which compress previous tokens into a single hidden state, Transformers can attend to all previous tokens

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23:03

Native Sparse Attention: Hardware-Aligned and...

Daily Paper Cast ·

2025/02/19

🤗 Upvotes: 68 | cs.CL, cs.AI, cs.LGAuthors: Jingyang Yuan, Huazuo Gao, Damai Dai, Junyu Luo, Liang Zhao, Zhengyan Zhang, Zhenda Xie, Y. X. Wei, Lean Wang, Zhiping Xiao, Yuqing Wang, Chong Ruan, Ming Zhang, Wenfeng Liang, Wangding Zeng Title: Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention Arxiv: http://arxiv.org/abs/2502.11089v1 Abstract:

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24:40

Learning Getting-Up Policies for Real-World Humanoid...

Daily Paper Cast ·

2025/02/19

🤗 Upvotes: 32 | cs.RO, cs.LG Authors: Xialin He, Runpei Dong, Zixuan Chen, Saurabh Gupta Title: Learning Getting-Up Policies for Real-World Humanoid Robots Arxiv: http://arxiv.org/abs/2502.12152v1 Abstract: Automatic fall recovery is a crucial prerequisite before humanoid robots can be reliably deployed. Hand-designing controllers for getting up is difficult because of the

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21:53

SWE-Lancer: Can Frontier LLMs Earn $1 Million from...

Daily Paper Cast ·

2025/02/19

🤗 Upvotes: 27 | cs.LG, cs.SE Authors: Samuel Miserendino, Michele Wang, Tejal Patwardhan, Johannes Heidecke Title: SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering? Arxiv: http://arxiv.org/abs/2502.12115v1 Abstract: We introduce SWE-Lancer, a benchmark of over 1,400 freelance software engineering tasks from Upwork, valued at \$1

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21:23

CRANE: Reasoning with constrained LLM generation

Daily Paper Cast ·

2025/02/19

🤗 Upvotes: 17 | cs.PL, cs.LG Authors: Debangshu Banerjee, Tarun Suresh, Shubham Ugare, Sasa Misailovic, Gagandeep Singh Title: CRANE: Reasoning with constrained LLM generation Arxiv: http://arxiv.org/abs/2502.09061v1 Abstract: Code generation, symbolic math reasoning, and other tasks require LLMs to produce outputs that are both syntactically and semantically correct

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24:39

How Do LLMs Acquire New Knowledge? A Knowledge...

Daily Paper Cast ·

2025/02/19

🤗 Upvotes: 16 | cs.LG, cs.AI, cs.CL, cs.CV, cs.HC Authors: Yixin Ou, Yunzhi Yao, Ningyu Zhang, Hui Jin, Jiacheng Sun, Shumin Deng, Zhenguo Li, Huajun Chen Title: How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training Arxiv: http://arxiv.org/abs/2502.11196v1 Abstract: Despite exceptional capabilities in knowledge-intensive tasks, Large

en

20:01

HermesFlow: Seamlessly Closing the Gap in Multimodal...

Daily Paper Cast ·

2025/02/19

🤗 Upvotes: 15 | cs.CV Authors: Ling Yang, Xinchen Zhang, Ye Tian, Chenming Shang, Minghao Xu, Wentao Zhang, Bin Cui Title: HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation Arxiv: http://arxiv.org/abs/2502.12148v1 Abstract: The remarkable success of the autoregressive paradigm has made significant advancement in Multimodal Large Language Models

en

22:23

I Think, Therefore I Diffuse: Enabling Multimodal...

Daily Paper Cast ·

2025/02/19

🤗 Upvotes: 14 | cs.LG, cs.AI Authors: Zhenxing Mi, Kuan-Chieh Wang, Guocheng Qian, Hanrong Ye, Runtao Liu, Sergey Tulyakov, Kfir Aberman, Dan Xu Title: I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models Arxiv: http://arxiv.org/abs/2502.10458v1 Abstract: This paper presents ThinkDiff, a novel alignment paradigm that empowers text-to-image

en

1,967 results

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