HuggingFace 每日AI论文速递

2024.12.24 每日AI论文 | 探索与利用平衡,噪声数据处理提升。


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本期的 16 篇论文如下:

[00:24] 🔄 B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners(B-STaR:监控和平衡自学习推理器中的探索与利用)

[01:04] 🛡 RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response(RobustFT:在噪声响应下的大语言模型的鲁棒监督微调)

[01:43] 🧠 Diving into Self-Evolving Training for Multimodal Reasoning(深入自进化训练的多模态推理)

[02:29] ⚡ Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching(蒸馏解码1:使用流匹配对图像自回归模型进行一步采样)

[03:12] 🎥 Large Motion Video Autoencoding with Cross-modal Video VAE(基于跨模态视频VAE的大运动视频自动编码)

[03:56] 🧠 Deliberation in Latent Space via Differentiable Cache Augmentation(潜在空间中的推理增强通过可微缓存扩展)

[04:41] 📚 Revisiting In-Context Learning with Long Context Language Models(重新审视长上下文语言模型中的上下文学习)

[05:25] 🧠 Outcome-Refining Process Supervision for Code Generation(代码生成中的结果优化过程监督)

[06:11] 🧠 DRT-o1: Optimized Deep Reasoning Translation via Long Chain-of-Thought(DRT-o1:通过长链思维优化深度推理翻译)

[06:48] 📚 LearnLM: Improving Gemini for Learning(学习语言模型:提升Gemini的学习能力)

[07:33] ⚠ Agent-SafetyBench: Evaluating the Safety of LLM Agents(Agent-SafetyBench:评估LLM代理的安全性)

[08:15] 🧠 OpenAI o1 System Card(OpenAI o1 系统卡片)

[09:03] 🧠 NILE: Internal Consistency Alignment in Large Language Models(NILE:大型语言模型中的内部一致性对齐)

[09:45] 🤖 OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning(OpenRFT:通过强化微调适应领域特定任务的推理基础模型)

[10:26] 🗣 Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding(Friends-MMC:多模态多方对话理解数据集)

[10:59] 🌙 PC Agent: While You Sleep, AI Works -- A Cognitive Journey into Digital World(PC代理:当你睡觉时,AI在工作——进入数字世界的认知之旅)

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