模型规模大小对zero-shot推理能力有影响, 推理链的使用需要在大规模预训练语言模型上才有效果,且不同的预训练语言模型的的参数规模对CoT的影响有差异,但都是越大越明显【比较符合之前的CoT能力的研究】 Does model size matter for zero-shot reasoning 错误分析:常识推理任务, 预测答案虽然不对, 但zero-shot-CoT...
Zero-shot-COT vs Few-shot-CoT: 后者需要人工精心设计,且和任务相关的、step-by-step的examples 二、方法:Zero-shot-COT Figure 2:Zero-shot-COT的两阶段流程 :首先,用 reasoning prompt去提取reasoning path;然后,用 answer prompt得到最终想要的正确答案 1)第一步:reasoning extraction 输入给LLM的,是这个形式...
4、单样本视频模仿(One-shot video imitation),观看视频演示,并学习如何以相同的移动路径对一个特定物体进行复现; 5、满足视觉限制(Visual constraint satisfaction),机器人必须小心地操纵物体,来避免触犯安全性限制; 6、视觉推理(Visual reasoning),有一些任务要求智能体需要会推理,比如「把所有和相同纹理的物体都放到...
In contrast, a long tradition of research in cognitive science has focused on elucidating the computational principles underlying human analogical reasoning; however, this work has generally relied on manually constructed representations. Here we present visiPAM (visual Probabilistic Analogical Mapping), a...
4、单样本视频模仿(One-shot video imitation),观看视频演示,并学习如何以相同的移动路径对一个特定物体进行复现; 5、满足视觉限制(Visual constraint satisfaction),机器人必须小心地操纵物体,来避免触犯安全性限制; 6、视觉推理(Visual reasoning),有一些任务要求智能体需要会推理,比如「把所有和相同纹理的物体都放到...
4、单样本视频模仿(One-shot video imitation),观看视频演示,并学习如何以相同的移动路径对一个特定物体进行复现; 5、满足视觉限制(Visual constraint satisfaction),机器人必须小心地操纵物体,来避免触犯安全性限制; 6、视觉推理(Visual reasoning),有一些任务要求智能体需要会推理,比如「把所有和相同纹理的物体都放到...
4、单样本视频模仿(One-shot video imitation),观看视频演示,并学习如何以相同的移动路径对一个特定物体进行复现; 5、满足视觉限制(Visual constraint satisfaction),机器人必须小心地操纵物体,来避免触犯安全性限制; 6、视觉推理(Visual...
4、单样本视频模仿(One-shot video imitation),观看视频演示,并学习如何以相同的移动路径对一个特定物体进行复现; 5、满足视觉限制(Visual constraint satisfaction),机器人必须小心地操纵物体,来避免触犯安全性限制; 6、视觉推理(Visual reasoning),有一些任务要求智能体需要会推理,比如「把所有和相同纹理的物体都放到...
Does model size matter for zero-shot reasoning? When the model size is smaller, chain of thought reasoning is not effective Error Analysis How does prompt selection affect Zero-shot-CoT? 主要包括以下几类prompt: How does prompt selection affect Few-shot-CoT? 从表中可以看出,在few-shot-CoT中进...
Vision-language models (VLMs) have shown impressive zero- and few-shot performance on real-world visual question answering (VQA) benchmarks, alluding to their capabilities as visual reasoning engines. However, the benchmarks being used conflate "pure" visual reasoning with world knowledge, and ...