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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

21:51

The Surprising Agreement Between Convex Optimization...

Daily Paper Cast ·

2025/02/04

🤗 Upvotes: 3 | cs.LG, math.OC, stat.ML Authors: Fabian Schaipp, Alexander Hägele, Adrien Taylor, Umut Simsekli, Francis Bach Title: The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training Arxiv: http://arxiv.org/abs/2501.18965v1 Abstract: We show that learning-rate schedules for large model training behave surprisingly

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20:09

SAeUron: Interpretable Concept Unlearning in...

Daily Paper Cast ·

2025/02/04

🤗 Upvotes: 3 | cs.LG, cs.AI Authors: Bartosz Cywiński, Kamil Deja Title: SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Arxiv: http://arxiv.org/abs/2501.18052v2 Abstract: Diffusion models, while powerful, can inadvertently generate harmful or undesirable content, raising significant ethical and safety concerns. Recent machine unlearning

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21:00

GuardReasoner: Towards Reasoning-based LLM Safeguards

Daily Paper Cast ·

2025/02/01

🤗 Upvotes: 46 | cs.CR, cs.AI, cs.LGAuthors: Yue Liu, Hongcheng Gao, Shengfang Zhai, Jun Xia, Tianyi Wu, Zhiwei Xue, Yulin Chen, Kenji Kawaguchi, Jiaheng Zhang, Bryan Hooi Title: GuardReasoner: Towards Reasoning-based LLM Safeguards Arxiv: http://arxiv.org/abs/2501.18492v1 Abstract: As LLMs increasingly impact safety-critical applications, ensuring their safety using guardrails

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23:01

Thoughts Are All Over the Place: On the Underthinking...

Daily Paper Cast ·

2025/02/01

🤗 Upvotes: 22 | cs.CL Authors: Yue Wang, Qiuzhi Liu, Jiahao Xu, Tian Liang, Xingyu Chen, Zhiwei He, Linfeng Song, Dian Yu, Juntao Li, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu Title: Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs Arxiv: http://arxiv.org/abs/2501.18585v1 Abstract: Large language models (LLMs) such as OpenAI's o1 have

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23:36

Streaming DiLoCo with overlapping communication:...

Daily Paper Cast ·

2025/02/01

🤗 Upvotes: 15 | cs.CL Authors: Arthur Douillard, Yanislav Donchev, Keith Rush, Satyen Kale, Zachary Charles, Zachary Garrett, Gabriel Teston, Dave Lacey, Ross McIlroy, Jiajun Shen, Alexandre Ramé, Arthur Szlam, Marc'Aurelio Ranzato, Paul Barham Title: Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch Arxiv: http://arxiv.org/abs/2501.18512v1 Abstract:

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19:26

MedXpertQA: Benchmarking Expert-Level Medical...

Daily Paper Cast ·

2025/02/01

🤗 Upvotes: 15 | cs.AI, cs.CL, cs.CV, cs.LG Authors: Yuxin Zuo, Shang Qu, Yifei Li, Zhangren Chen, Xuekai Zhu, Ermo Hua, Kaiyan Zhang, Ning Ding, Bowen Zhou Title: MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding Arxiv: http://arxiv.org/abs/2501.18362v1 Abstract: We introduce MedXpertQA, a highly challenging and comprehensive benchmark to evaluate

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25:52

Large Language Models Think Too Fast To Explore...

Daily Paper Cast ·

2025/02/01

🤗 Upvotes: 10 | cs.AI, q-bio.NC Authors: Lan Pan, Hanbo Xie, Robert C. Wilson Title: Large Language Models Think Too Fast To Explore Effectively Arxiv: http://arxiv.org/abs/2501.18009v1 Abstract: Large Language Models have emerged many intellectual capacities. While numerous benchmarks assess their intelligence, limited attention has been given to their ability to explore, an

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20:15

WILDCHAT-50M: A Deep Dive Into the Role of Synthetic...

Daily Paper Cast ·

2025/02/01

🤗 Upvotes: 10 | cs.LG, cs.CL Authors: Benjamin Feuer, Chinmay Hegde Title: WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training Arxiv: http://arxiv.org/abs/2501.18511v1 Abstract: Language model (LLM) post-training, from DPO to distillation, can refine behaviors and unlock new skills, but the open science supporting these post-training techniques is still in

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24:32

PhysBench: Benchmarking and Enhancing Vision-Language...

Daily Paper Cast ·

2025/02/01

🤗 Upvotes: 10 | cs.CV, cs.AI, cs.CL, cs.LG, cs.RO Authors: Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Guizilini, Yue Wang Title: PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Arxiv: http://arxiv.org/abs/2501.16411v2 Abstract: Understanding the physical world is a fundamental challenge in embodied AI, critical for enabling

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20:01

o3-mini vs DeepSeek-R1: Which One is Safer?

Daily Paper Cast ·

2025/02/01

🤗 Upvotes: 6 | cs.SE, cs.AI Authors: Aitor Arrieta, Miriam Ugarte, Pablo Valle, José Antonio Parejo, Sergio Segura Title: o3-mini vs DeepSeek-R1: Which One is Safer? Arxiv: http://arxiv.org/abs/2501.18438v1 Abstract: The irruption of DeepSeek-R1 constitutes a turning point for the AI industry in general and the LLMs in particular. Its capabilities have demonstrated outstanding

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21:14

CowPilot: A Framework for Autonomous and Human-Agent...

Daily Paper Cast ·

2025/02/01

🤗 Upvotes: 1 | cs.AI, cs.CL, cs.HC Authors: Faria Huq, Zora Zhiruo Wang, Frank F. Xu, Tianyue Ou, Shuyan Zhou, Jeffrey P. Bigham, Graham Neubig Title: CowPilot: A Framework for Autonomous and Human-Agent Collaborative Web Navigation Arxiv: http://arxiv.org/abs/2501.16609v1 Abstract: While much work on web agents emphasizes the promise of autonomously performing tasks on behalf

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22:30

Critique Fine-Tuning: Learning to Critique is More...

Daily Paper Cast ·

2025/01/31

🤗 Upvotes: 28 | cs.CL Authors: Yubo Wang, Xiang Yue, Wenhu Chen Title: Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate Arxiv: http://arxiv.org/abs/2501.17703v2 Abstract: Supervised Fine-Tuning (SFT) is commonly used to train language models to imitate annotated responses for given instructions. In this paper, we challenge this paradigm and

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25:28

Atla Selene Mini: A General Purpose Evaluation Model

Daily Paper Cast ·

2025/01/31

🤗 Upvotes: 24 | cs.CL, cs.AI Authors: Andrei Alexandru, Antonia Calvi, Henry Broomfield, Jackson Golden, Kyle Dai, Mathias Leys, Maurice Burger, Max Bartolo, Roman Engeler, Sashank Pisupati, Toby Drane, Young Sun Park Title: Atla Selene Mini: A General Purpose Evaluation Model Arxiv: http://arxiv.org/abs/2501.17195v1 Abstract: We introduce Atla Selene Mini, a state-of-the-art

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28:39

Exploring the sustainable scaling of AI dilemma: A...

Daily Paper Cast ·

2025/01/31

🤗 Upvotes: 14 | cs.AI, cs.CY, cs.LG Authors: Clément Desroches, Martin Chauvin, Louis Ladan, Caroline Vateau, Simon Gosset, Philippe Cordier Title: Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Arxiv: http://arxiv.org/abs/2501.14334v2 Abstract: The rapid growth of artificial intelligence (AI), particularly Large

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22:03

Early External Safety Testing of OpenAI's o3-mini:...

Daily Paper Cast ·

2025/01/31

🤗 Upvotes: 8 | cs.SE, cs.AI Authors: Aitor Arrieta, Miriam Ugarte, Pablo Valle, José Antonio Parejo, Sergio Segura Title: Early External Safety Testing of OpenAI's o3-mini: Insights from the Pre-Deployment Evaluation Arxiv: http://arxiv.org/abs/2501.17749v1 Abstract: Large Language Models (LLMs) have become an integral part of our daily lives. However, they impose certain risks,

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22:14

Any2AnyTryon: Leveraging Adaptive Position Embeddings...

Daily Paper Cast ·

2025/01/31

🤗 Upvotes: 8 | cs.CV Authors: Hailong Guo, Bohan Zeng, Yiren Song, Wentao Zhang, Chuang Zhang, Jiaming Liu Title: Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks Arxiv: http://arxiv.org/abs/2501.15891v1 Abstract: Image-based virtual try-on (VTON) aims to generate a virtual try-on result by transferring an input garment onto a target

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21:44

Virus: Harmful Fine-tuning Attack for Large Language...

Daily Paper Cast ·

2025/01/31

🤗 Upvotes: 6 | cs.CR, cs.AI, cs.CL, cs.LG Authors: Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu Title: Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation Arxiv: http://arxiv.org/abs/2501.17433v1 Abstract: Recent research shows that Large Language Models (LLMs) are vulnerable to harmful fine-tuning attacks -- models

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19:42

People who frequently use ChatGPT for writing tasks...

Daily Paper Cast ·

2025/01/31

🤗 Upvotes: 6 | cs.CL, cs.AI Authors: Jenna Russell, Marzena Karpinska, Mohit Iyyer Title: People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text Arxiv: http://arxiv.org/abs/2501.15654v1 Abstract: In this paper, we study how well humans can detect text generated by commercial LLMs (GPT-4o, Claude, o1). We hire annotators to read

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23:17

SFT Memorizes, RL Generalizes: A Comparative Study of...

Daily Paper Cast ·

2025/01/30

🤗 Upvotes: 29 | cs.AI, cs.CV, cs.LGAuthors: Tianzhe Chu, Yuexiang Zhai, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V. Le, Sergey Levine, Yi Ma Title: SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training Arxiv: http://arxiv.org/abs/2501.17161v1 Abstract: Supervised fine-tuning (SFT) and reinforcement learning (RL) are widely

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22:09

Optimizing Large Language Model Training Using FP4...

Daily Paper Cast ·

2025/01/30

🤗 Upvotes: 15 | cs.LG, cs.CL Authors: Ruizhe Wang, Yeyun Gong, Xiao Liu, Guoshuai Zhao, Ziyue Yang, Baining Guo, Zhengjun Zha, Peng Cheng Title: Optimizing Large Language Model Training Using FP4 Quantization Arxiv: http://arxiv.org/abs/2501.17116v1 Abstract: The growing computational demands of training large language models (LLMs) necessitate more efficient methods. Quantized

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1,967 results

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