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Paper Summaries

MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning - Summary

The paper discusses the limitations of large language models (LMs) and proposes a neuro-symbolic architecture called the Modular Reasoning, Knowledge and Language (MRKL) system that combines LMs with external knowledge sources and discrete reasoning modules to overcome these limitations.

ReAct: Synergizing Reasoning and Acting in Language Models - Summary

The paper introduces ReAct, a novel prompt-based paradigm that synergizes reasoning and acting in language models for general task solving. ReAct generates both verbal reasoning traces and actions in an interleaved manner, allowing the model to perform dynamic reasoning to create, maintain, and adj

Just Tell Me: Prompt Engineering in Business Process Management - Summary

The paper discusses the use of prompt engineering to leverage pre-trained language models for business process management (BPM) tasks. It identifies the potentials and challenges of prompt engineering for BPM research.

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models - Summary

The paper introduces Chameleon, a plug-and-play compositional reasoning framework that augments large language models (LLMs) to address their inherent limitations and tackle a broad range of reasoning tasks. Chameleon synthesizes programs to compose various tools, including LLM models, off-the-shel

MiLMo:Minority Multilingual Pre-trained Language Model - Summary

The paper presents a multilingual pre-trained language model named MiLMo that performs better on minority language tasks, including Mongolian, Tibetan, Uyghur, Kazakh and Korean. The authors also construct a minority multilingual text classification dataset named MiTC, and train a word2vec model fo

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace - Summary

The paper proposes HuggingGPT, a system that uses large language models (LLMs) like ChatGPT to connect various AI models in machine learning communities like HuggingFace to solve complicated AI tasks. The system leverages the strong language capability of ChatGPT and abundant AI models in HuggingFa

Sparks of Artificial General Intelligence: Early experiments with GPT-4 - Summary

The paper reports on the investigation of an early version of GPT-4, which is part of a new cohort of LLMs that exhibit more general intelligence than previous AI models. The paper demonstrates that GPT-4 can solve novel and difficult tasks that span mathematics, coding, vision, medicine, law, psyc