Existing large language models (LLMs) can only afford fix-sized inputs due to the input length limit, preventing them from utilizing rich long-context information from past inputs. To address this, we propose a framework, Decoupled-Memory-Augmented LLMs (DeMA), which enables LLMs t...
Augmenting Language Models with Long-Term Memory O网页链接ChatPaper综述:本文介绍了当前大型语言模型受到输入长度限制的困境,无法利用过去丰富的长上下文信息的问题,并提出了一种解决方案——LongMem框架,通过一种解耦的网络结构,能够实现将长期历史信息存储在固定的内存中,可以缓存和更新过去的上下文信息以便于在后续...
Large language models (LLMs) have demonstrated remarkable predictive performance across a growing range of diverse tasks1,2,3. However, their proliferation has led to two burgeoning problems. First, like most deep neural nets, LLMs have become increasingly difficult to interpret, often leading to ...
Large language models (LLMs) have shown strong performance in tasks across domains but struggle with chemistry-related problems. These models also lack access to external knowledge sources, limiting their usefulness in scientific applications. We introduce ChemCrow, an LLM chemistry agent designed to ...
Official implementation of our NeurIPS 2023 paper "Augmenting Language Models with Long-Term Memory". - GitHub - Victorwz/LongMem: Official implementation of our NeurIPS 2023 paper "Augmenting Language Models with Long-Term Memory".
(Volume 1: Long Papers)",month= mar,year="2024",address="St. Julian{'}s, Malta",publisher="Association for Computational Linguistics",url="https://aclanthology.org/2024.eacl-long.7",pages="112--138", abstract = "Augmenting large language models (LLM) to use external tools enhances ...
By playing around withBuffLenandThreads, I found out that the system will never deadlock as long asThreads <= 2*BuffLen. So for a buffer length of four, you need 9 threads to have a deadlock. Wells needed an extra two (and multiple runs) to because the state space is so big, whi...
Generating natural and informative texts has been a long-standing problem in NLP. Much effort has been dedicated into incorporating pre-trained language models (PLMs) with various open-world knowledge, such as knowledge graphs or wiki pages. However, their ability to access and manipulate the task...
Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale, TACL (2022) - google-deepmind/transformer_grammars
Languages differ markedly in the number of colour terms in their lexicons. The Himba, for example, a remote culture in Namibia, were reported in 2005 to have only a 5-colour term language. We re-examined their colour naming using a novel computer-based m