2022年2月23日 · New brain-computer interface technology is giving quadriplegic and tetraplegic patients the ability to control computers, thought type at 90 characters a minute, and move robotic arms to feed...

2021年5月12日 · Researchers have developed a brain-computer interface that is able to read brain signals from people thinking about handwriting, and translate them into on-screen text. The team hope this...

基于 MM-CoT，GoT-Input 方法通过对 CoT 生成的思维图进行抽取构建三元组，并使用 GNN 将文本、图像与 CoT 统一，从而生成包含 CoT 信息的最终答案。

2024年12月30日 · Summary: A new study reveals that humans think at a rate of 10 bits per second, while sensory systems process a billion bits per second—100 million times faster. This highlights a paradox: why does the brain process thoughts so slowly when sensory input is …

这种办法跟few-shot很像，不同的是，CoT(Chain Of Thought)给出的prompt是以下面的元组形式给出的： <input,chain \ of\ thought,output> 而普通的few-shot可能仅仅给一个，可能没有中间的chain of thought。

2024年7月10日 · Chain-of-Thought prompting is a technique that improves the performance of language models by explicitly prompting the model to generate a step-by-step explanation or reasoning process before arriving at a final answer. This method helps the model to break down the problem and not skip any intermediate tasks to avoid reasoning failures.

2024年11月28日 · Chain-of-Thought 技巧，简称 CoT，是一种在 Prompt 编写中引导 模型 按步骤逐步推理和输出的方法。 这种技巧通过明确中间状态，让模型将复杂任务拆解成小问题，从而逐步生成完整的结果。 经典的 CoT 表达是 “Let’s think step by step”，其效果显著提升了任务处理的准确性和输出质量。 论文《 [2201.11903] Chain-of-Thought Prompting Elicits Reasoning in Large Language Models》量化了 CoT 技巧的效果，证明了逐步推理对复杂任务的显著优势。 如何使 …

2023年11月5日 · When asking for someone's input, it's important to use professional and polite language. Instead of bluntly saying 'I need your input,' consider using one of the following phrases: Let's explore each of these alternatives in more detail: 1. I …

2025年3月3日 · That is, given an input question, LLMs would first re-format the question to add XML tags highlighting key facts, and then, generate a response with highlights over the facts referenced from the input. Interestingly, in few-shot settings, HoT outperforms vanilla chain of thought prompting (CoT) on a wide range of 17 tasks from arithmetic ...

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