贡献五:提出了一个新的metric,用于评估prompting 策略。 GOT framework GOT可以被建模为一个元组(,,,G,τ,ε,R), G 是 LLM reasoning process(包含所有LLM thoughts和上下文和依赖关系,)τ是隐藏的 thought transformations,ε是一个评价函数用于观察thoughts的分数,R是一个排序函数用于选择最相关的thoughts. Reason...
To implement GoT, developers need to represent the problem-solving process as a graph, where each node or vertex represents a thought or a piece of information. Then, the relationships or dependencies between these thoughts are mapped as edges in the graph. This mapping allows for various ...
You can compare the two results by inspecting the output graphsoutput_cot.jsonandoutput_got.json. The final thought states' scores indicate the number of errors in the sorted list. Documentation The paper gives a high-level overview of the framework and its components. ...
3.3 Chain-of-Thought (CoT) Distillation 3.3思维链(CoT)蒸馏 When faced with diverse graph data, language models may encounter new or unfamiliar patterns and structures. This distribution shift can pose challenges in generating accurate and coherent responses, especially when the number of node classes...
Once Toto got too near theopentrap door,andfellin;andatfirst the little girl thought she had lost him. But soon she saw oneofhis ears sticking up through the hole,forthe strong pressureofthe air was keeping him up so that he couldnotfall. She crepttothe hole,caught...
Zero-shot prompting: 只输入问题的描述和输出格式 Few-shot prompting: 输入问题的描述、输出格式和少量的例子 Chain-of-thought (CoT): 给模型一些例子,每个例子都展示了如何一步一步解决问题 Zero-shot CoT prompting (ZERO-COT): 让模型自己一步一步解决,不给提示,"Let's think step by step" ...