HuggingFace 每日AI论文速递

2025.02.13 | 多语言评估工具填补空白，密集文本图像数据集挑战生成模型。

13 Feb 2025

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本期的 20 篇论文如下：[00:23] 🌍 BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models（BenchMAX：大型语言模型的综合多语言评估套件）[01:08] 📄 TextAtlas5M: A Large-scale Dataset for Dense Text Image Generation（TextAtlas5M：用于密集文本图像生成的大规模数据集）[01:48] 🎥 Light-A-Video: Training-free Video Relighting via Progressive Light Fusion（光影视频：基于渐进光融合的无训练视频重照明）[02:36] 🎥 CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation（CineMaster：一个三维感知与可控的电影级文本到视频生成框架）[03:16] 🖥 WorldGUI: Dynamic Testing for Comprehensive Desktop GUI Automation（世界GUI：桌面GUI自动化的综合动态测试）[04:06] ⚡ LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid（LASP-2：重新思考线性注意力及其混合模型的序列并行性）[04:45] 🧠 TransMLA: Multi-head Latent Attention Is All You Need（TransMLA：多头潜在注意力机制的全部需求）[05:31] 💼 Fino1: On the Transferability of Reasoning Enhanced LLMs to Finance（Fino1：关于推理增强型大型语言模型在金融领域的可迁移性研究）[06:23] 📏 Distillation Scaling Laws（蒸馏缩放定律）[07:02] 🚀 Ignore the KL Penalty! Boosting Exploration on Critical Tokens to Enhance RL Fine-Tuning（忽略KL惩罚！通过增强关键标记的探索来提升强化学习微调效果）[07:52] 🌍 SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation（SARChat-Bench-2M：用于SAR图像解释的多任务视觉语言基准）[08:25] 🧠 LLM Pretraining with Continuous Concepts（基于连续概念的LLM预训练）[09:09] 🎭 Animate Anyone 2: High-Fidelity Character Image Animation with Environment Affordance（动画任何人2：利用环境可操作性生成高保真角色图像动画）[09:52] 🔍 NoLiMa: Long-Context Evaluation Beyond Literal Matching（NoLiMa：超越字面匹配的长上下文评估）[10:39] 🧠 Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing（中介：基于参数冲突少和不确定性路由的高效LLM合并）[11:15] 📚 Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey（面向可信赖的大语言模型检索增强生成：综述）[11:58] 🎥 Next Block Prediction: Video Generation via Semi-Autoregressive Modeling（下一区块预测：通过半自回归建模生成视频）[12:43] 🔄 DPO-Shift: Shifting the Distribution of Direct Preference Optimization（DPO-Shift：直接偏好优化分布的可控转移）[13:28] 🧠 LLM Modules: Knowledge Transfer from a Large to a Small Model using Enhanced Cross-Attention（LLM模块：使用增强交叉注意力机制从大模型向小模型进行知识迁移）[14:15] 🛡 MetaSC: Test-Time Safety Specification Optimization for Language Models（MetaSC：语言模型推理时的安全规范优化）【关注我们】您还可以在以下平台找到我们，获得播客内容以外更多信息小红书: AI速递

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13:00H | 21 DIC 2025 | Fin de Semana

01 Jan 1970

Fin de Semana

10:00H | 21 DIC 2025 | Fin de Semana

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Fin de Semana

12:00H | 20 DIC 2025 | Fin de Semana

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Fin de Semana

2ª PARTE | 06 ENE 2026 | EL PARTIDAZO DE COPE

01 Jan 1970

El Partidazo de COPE

3ª PARTE | 22 ENE 2026 | EL PARTIDAZO DE COPE

01 Jan 1970

El Partidazo de COPE

3ª PARTE | 04 MAR 2026 | EL PARTIDAZO DE COPE

01 Jan 1970

El Partidazo de COPE

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HuggingFace 每日AI论文速递

2025.02.13 | 多语言评估工具填补空白，密集文本图像数据集挑战生成模型。

This episode hasn't been transcribed yet

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13:00H | 21 DIC 2025 | Fin de Semana

10:00H | 21 DIC 2025 | Fin de Semana

12:00H | 20 DIC 2025 | Fin de Semana

2ª PARTE | 06 ENE 2026 | EL PARTIDAZO DE COPE

3ª PARTE | 22 ENE 2026 | EL PARTIDAZO DE COPE

3ª PARTE | 04 MAR 2026 | EL PARTIDAZO DE COPE

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