Efficient Causal Graph Discovery Using Large Language Modelsarxiv.org/abs/2402.01207 方法简介 方法动机 Kıcıman et al. (2023); Choi et al. (2022); Long et al. (2023b) use pairwise queries to infer the causal relationship between 2 variables at a time. 现有的方法使用配对查询的方...
Large language models (LLMs), such as OpenAI's GPT-4, Google's Bard or Meta's LLaMa, have created unprecedented opportunities for analysing and generating language data on a massive scale. Because language data have a central role in all areas of psychology, this new technology has the ...
STAR: A Simple Training-free Approach for Recommendations using Large Language Modelsarxiv.org/pdf/2410.16458 感觉还是得把各种统计信息喂给LLM才好用 1 背景 LLM已经广泛应用于推荐系统,目前的主要策略为将LLM作为特征编码器或者评分/排名函数。但是一般都是要用下游任务微调LLM,否则效果就会不好。 这篇文章...
Large language models (LLMs), such as OpenAI’s GPT-4, Google’s Bard or Meta’s LLaMa, have created unprecedented opportunities for analysing and generating language data on a massive scale. Because language data have a central role in all areas of psychology, this new technology has the ...
Linguistic Bridging for AI and Large Language Models As we continue to rely on AI for everyday tasks, it becomes crucial for language models to reflect the diversity of human expression. Just as dialects evolve and adapt to societal changes, AI must also be equipped to understand and respond ...
Using large language models to enable open-world, interactive and personalized robot navigation An example of zero-shot interactive personalized navigation. There are three computers in the room never seen by the robot before. The goal is to find Alice's computer. The robot starts by finding the...
Through this blog, we have illustrated a streamlined method for summarizing complex documents into key ESG initiatives that offer a deeper comprehension of the sustainability aspects of your investments. With the implementation of machine learning methods powered by large language models (LLMs)...
LlamaRec的核心是两阶段流程：第一阶段，利用小型序列推荐器根据用户交互历史检索候选项目；第二阶段，通过一个精心设计的提示模板，将历史和检索到的项目转换为文本，输入到LLM中。我们采用了一种基于口头表达的方法，将LLM头部的输出转化为候选项目的概率分布，避免了生成长文本，从而高效地对项目进行排名。
STAR: A simple training-free approach for recommendations using large language models. 2024.概本文提出了一种融合语义/协同/时序信息的方法, 使得 LLM 无需微调即可轻松超越传统方法.符号说明u∈Uu∈U, user; si∈Isi∈I, item; Su={s1,s2,…,sn}Su={s1,s2,…,sn}, 为用户 uu 的交互序列;STAR...
Transformer models such as GPT generate human-like language and are predictive of human brain responses to language. Here, using functional-MRI-measured brain responses to 1,000 diverse sentences, we first show that a GPT-based encoding model can predict