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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

20:16

RefVNLI: Towards Scalable Evaluation of...

Daily Paper Cast ·

2025/04/26

🤗 Upvotes: 47 | cs.CV Authors: Aviv Slobodkin, Hagai Taitelbaum, Yonatan Bitton, Brian Gordon, Michal Sokolik, Nitzan Bitton Guetta, Almog Gueta, Royi Rassin, Itay Laish, Dani Lischinski, Idan Szpektor Title: RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation Arxiv: http://arxiv.org/abs/2504.17502v1 Abstract: Subject-driven text-to-image (T2I)

en

25:08

Breaking the Modality Barrier: Universal Embedding...

Daily Paper Cast ·

2025/04/26

🤗 Upvotes: 28 | cs.CV Authors: Tiancheng Gu, Kaicheng Yang, Ziyong Feng, Xingjun Wang, Yanzhao Zhang, Dingkun Long, Yingda Chen, Weidong Cai, Jiankang Deng Title: Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs Arxiv: http://arxiv.org/abs/2504.17432v1 Abstract: The Contrastive Language-Image Pre-training (CLIP) framework has become a widely used

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20:43

DreamID: High-Fidelity and Fast diffusion-based Face...

Daily Paper Cast ·

2025/04/25

🤗 Upvotes: 39 | cs.CV, cs.AIAuthors: Fulong Ye, Miao Hua, Pengze Zhang, Xinghui Li, Qichao Sun, Songtao Zhao, Qian He, Xinglong Wu Title: DreamID: High-Fidelity and Fast diffusion-based Face Swapping via Triplet ID Group Learning Arxiv: http://arxiv.org/abs/2504.14509v2 Abstract: In this paper, we introduce DreamID, a diffusion-based face swapping model that achieves high

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25:48

Trillion 7B Technical Report

Daily Paper Cast ·

2025/04/25

🤗 Upvotes: 27 | cs.CL, cs.AI, cs.LG Authors: Sungjun Han, Juyoung Suk, Suyeong An, Hyungguk Kim, Kyuseok Kim, Wonsuk Yang, Seungtaek Choi, Jamin Shin Title: Trillion 7B Technical Report Arxiv: http://arxiv.org/abs/2504.15431v1 Abstract: We introduce Trillion-7B, the most token-efficient Korean-centric multilingual LLM available. Our novel Cross-lingual Document Attention (XLDA)

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23:09

Tina: Tiny Reasoning Models via LoRA

Daily Paper Cast ·

2025/04/25

🤗 Upvotes: 27 | cs.CL, cs.LG Authors: Shangshang Wang, Julian Asilis, Ömer Faruk Akgül, Enes Burak Bilgin, Ollie Liu, Willie Neiswanger Title: Tina: Tiny Reasoning Models via LoRA Arxiv: http://arxiv.org/abs/2504.15777v1 Abstract: How cost-effectively can strong reasoning abilities be achieved in language models? Driven by this fundamental question, we present Tina, a family of

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21:00

I-Con: A Unifying Framework for Representation Learning

Daily Paper Cast ·

2025/04/25

🤗 Upvotes: 24 | cs.LG, cs.AI, cs.CV, cs.IT, math.IT Authors: Shaden Alshammari, John Hershey, Axel Feldmann, William T. Freeman, Mark Hamilton Title: I-Con: A Unifying Framework for Representation Learning Arxiv: http://arxiv.org/abs/2504.16929v1 Abstract: As the field of representation learning grows, there has been a proliferation of different loss functions to solve different

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20:02

Kuwain 1.5B: An Arabic SLM via Language Injection

Daily Paper Cast ·

2025/04/24

🤗 Upvotes: 94 | cs.CL, cs.AIAuthors: Khalil Hennara, Sara Chrouf, Mohamed Motaism Hamed, Zeina Aldallal, Omar Hadid, Safwan AlModhayan Title: Kuwain 1.5B: An Arabic SLM via Language Injection Arxiv: http://arxiv.org/abs/2504.15120v1 Abstract: Enhancing existing models with new knowledge is a crucial aspect of AI development. This paper introduces a novel method for integrating

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25:07

TTRL: Test-Time Reinforcement Learning

Daily Paper Cast ·

2025/04/24

🤗 Upvotes: 60 | cs.CL, cs.LG Authors: Yuxin Zuo, Kaiyan Zhang, Shang Qu, Li Sheng, Xuekai Zhu, Biqing Qi, Youbang Sun, Ganqu Cui, Ning Ding, Bowen Zhou Title: TTRL: Test-Time Reinforcement Learning Arxiv: http://arxiv.org/abs/2504.16084v1 Abstract: This paper investigates Reinforcement Learning (RL) on data without explicit labels for reasoning tasks in Large Language Models

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22:15

The Bitter Lesson Learned from 2,000+ Multilingual...

Daily Paper Cast ·

2025/04/24

🤗 Upvotes: 51 | cs.CL Authors: Minghao Wu, Weixuan Wang, Sinuo Liu, Huifeng Yin, Xintong Wang, Yu Zhao, Chenyang Lyu, Longyue Wang, Weihua Luo, Kaifu Zhang Title: The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks Arxiv: http://arxiv.org/abs/2504.15521v1 Abstract: As large language models (LLMs) continue to advance in linguistic capabilities, robust multilingual

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24:12

Describe Anything: Detailed Localized Image and Video...

Daily Paper Cast ·

2025/04/24

🤗 Upvotes: 42 | cs.CV, cs.AI Authors: Long Lian, Yifan Ding, Yunhao Ge, Sifei Liu, Hanzi Mao, Boyi Li, Marco Pavone, Ming-Yu Liu, Trevor Darrell, Adam Yala, Yin Cui Title: Describe Anything: Detailed Localized Image and Video Captioning Arxiv: http://arxiv.org/abs/2504.16072v1 Abstract: Generating detailed and accurate descriptions for specific regions in images and videos

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21:02

Learning Adaptive Parallel Reasoning with Language...

Daily Paper Cast ·

2025/04/24

🤗 Upvotes: 35 | cs.AI, cs.CL Authors: Jiayi Pan, Xiuyu Li, Long Lian, Charlie Snell, Yifei Zhou, Adam Yala, Trevor Darrell, Kurt Keutzer, Alane Suhr Title: Learning Adaptive Parallel Reasoning with Language Models Arxiv: http://arxiv.org/abs/2504.15466v1 Abstract: Scaling inference-time computation has substantially improved the reasoning capabilities of language models

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22:05

Learning to Reason under Off-Policy Guidance

Daily Paper Cast ·

2025/04/23

🤗 Upvotes: 59 | cs.LG, cs.AI, cs.CLAuthors: Jianhao Yan, Yafu Li, Zican Hu, Zhi Wang, Ganqu Cui, Xiaoye Qu, Yu Cheng, Yue Zhang Title: Learning to Reason under Off-Policy Guidance Arxiv: http://arxiv.org/abs/2504.14945v2 Abstract: Recent advances in large reasoning models (LRMs) demonstrate that sophisticated behaviors such as multi-step reasoning and self-reflection can emerge

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20:26

Eagle 2.5: Boosting Long-Context Post-Training for...

Daily Paper Cast ·

2025/04/23

🤗 Upvotes: 50 | cs.CV Authors: Guo Chen, Zhiqi Li, Shihao Wang, Jindong Jiang, Yicheng Liu, Lidong Lu, De-An Huang, Wonmin Byeon, Matthieu Le, Tuomas Rintamaki, Tyler Poon, Max Ehrlich, Tuomas Rintamaki, Tyler Poon, Tong Lu, Limin Wang, Bryan Catanzaro, Jan Kautz, Andrew Tao, Zhiding Yu, Guilin Liu Title: Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models Arxiv:

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18:14

FlowReasoner: Reinforcing Query-Level Meta-Agents

Daily Paper Cast ·

2025/04/23

🤗 Upvotes: 36 | cs.AI Authors: Hongcheng Gao, Yue Liu, Yufei He, Longxu Dou, Chao Du, Zhijie Deng, Bryan Hooi, Min Lin, Tianyu Pang Title: FlowReasoner: Reinforcing Query-Level Meta-Agents Arxiv: http://arxiv.org/abs/2504.15257v1 Abstract: This paper proposes a query-level meta-agent named FlowReasoner to automate the design of query-level multi-agent systems, i.e., one system

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23:56

ToolRL: Reward is All Tool Learning Needs

Daily Paper Cast ·

2025/04/23

🤗 Upvotes: 33 | cs.LG, cs.AI, cs.CL Authors: Cheng Qian, Emre Can Acikgoz, Qi He, Hongru Wang, Xiusi Chen, Dilek Hakkani-Tür, Gokhan Tur, Heng Ji Title: ToolRL: Reward is All Tool Learning Needs Arxiv: http://arxiv.org/abs/2504.13958v1 Abstract: Current Large Language Models (LLMs) often undergo supervised fine-tuning (SFT) to acquire tool use capabilities. However, SFT

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20:58

X-Teaming: Multi-Turn Jailbreaks and Defenses with...

Daily Paper Cast ·

2025/04/23

🤗 Upvotes: 25 | cs.CR, cs.AI, cs.CL, cs.LG, cs.MA Authors: Salman Rahman, Liwei Jiang, James Shiffer, Genglin Liu, Sheriff Issaka, Md Rizwan Parvez, Hamid Palangi, Kai-Wei Chang, Yejin Choi, Saadia Gabriel Title: X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents Arxiv: http://arxiv.org/abs/2504.13203v1 Abstract: Multi-turn interactions with language models

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23:17

StyleMe3D: Stylization with Disentangled Priors by...

Daily Paper Cast ·

2025/04/23

🤗 Upvotes: 21 | cs.CV Authors: Cailin Zhuang, Yaoqi Hu, Xuanyang Zhang, Wei Cheng, Jiacheng Bao, Shengqi Liu, Yiying Yang, Xianfang Zeng, Gang Yu, Ming Li Title: StyleMe3D: Stylization with Disentangled Priors by Multiple Encoders on 3D Gaussians Arxiv: http://arxiv.org/abs/2504.15281v1 Abstract: 3D Gaussian Splatting (3DGS) excels in photorealistic scene reconstruction but

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21:48

Does Reinforcement Learning Really Incentivize...

Daily Paper Cast ·

2025/04/22

🤗 Upvotes: 64 | cs.AI, cs.CL, cs.CV Authors: Yang Yue, Zhiqi Chen, Rui Lu, Andrew Zhao, Zhaokai Wang, Yang Yue, Shiji Song, Gao Huang Title: Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? Arxiv: http://arxiv.org/abs/2504.13837v1 Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has recently demonstrated notable

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19:22

MIG: Automatic Data Selection for Instruction Tuning...

Daily Paper Cast ·

2025/04/22

🤗 Upvotes: 31 | cs.CL, cs.AI Authors: Yicheng Chen, Yining Li, Kai Hu, Zerun Ma, Haochen Ye, Kai Chen Title: MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Arxiv: http://arxiv.org/abs/2504.13835v1 Abstract: Data quality and diversity are key to the construction of effective instruction-tuning datasets. % With the increasing

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20:42

NodeRAG: Structuring Graph-based RAG with...

Daily Paper Cast ·

2025/04/22

🤗 Upvotes: 30 | cs.AI Authors: Tianyang Xu, Haojie Zheng, Chengze Li, Haoxiang Chen, Yixin Liu, Ruoxi Chen, Lichao Sun Title: NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes Arxiv: http://arxiv.org/abs/2504.11544v1 Abstract: Retrieval-augmented generation (RAG) empowers large language models to access external and private corpus, enabling factually consistent

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2,195 results

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