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本期的 9 篇论文如下:
[00:26] 🧠 s1: Simple test-time scaling(简单的测试时缩放)
[01:18] ⚡ Reward-Guided Speculative Decoding for Efficient LLM Reasoning(奖励引导的推测解码方法用于高效LLM推理)
[02:00] 🧠 Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models(自监督量化表示法用于无缝集成知识图谱与大型语言模型)
[02:41] 🛡 Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming(宪法分类器:在数千小时的红队测试中防御通用越狱攻击)
[03:28] 🌍 DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning(DINO-WM:基于预训练视觉特征的世界模型实现零样本规划)
[04:13] 🧠 Trading Inference-Time Compute for Adversarial Robustness(推理时间计算对对抗鲁棒性的影响)
[04:54] 🧠 INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation(任务通用提示分割的实例特定负样本挖掘)
[05:30] 📰 Unraveling the Capabilities of Language Models in News Summarization(揭秘语言模型在新闻摘要中的能力)
[06:09] 🎥 Fast Encoder-Based 3D from Casual Videos via Point Track Processing(基于快速编码器的从随意视频中进行3D重建的点轨迹处理)
【关注我们】
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小红书: AI速递
本期的 9 篇论文如下:
[00:26] 🧠 s1: Simple test-time scaling(简单的测试时缩放)
[01:18] ⚡ Reward-Guided Speculative Decoding for Efficient LLM Reasoning(奖励引导的推测解码方法用于高效LLM推理)
[02:00] 🧠 Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models(自监督量化表示法用于无缝集成知识图谱与大型语言模型)
[02:41] 🛡 Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming(宪法分类器:在数千小时的红队测试中防御通用越狱攻击)
[03:28] 🌍 DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning(DINO-WM:基于预训练视觉特征的世界模型实现零样本规划)
[04:13] 🧠 Trading Inference-Time Compute for Adversarial Robustness(推理时间计算对对抗鲁棒性的影响)
[04:54] 🧠 INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation(任务通用提示分割的实例特定负样本挖掘)
[05:30] 📰 Unraveling the Capabilities of Language Models in News Summarization(揭秘语言模型在新闻摘要中的能力)
[06:09] 🎥 Fast Encoder-Based 3D from Casual Videos via Point Track Processing(基于快速编码器的从随意视频中进行3D重建的点轨迹处理)
【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