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Title: react: synergizing reasoning and acting in language models.

Abstract: While large language models (LLMs) have demonstrated impressive capabilities across tasks in language understanding and interactive decision making, their abilities for reasoning (e.g. chain-of-thought prompting) and acting (e.g. action plan generation) have primarily been studied as separate topics. In this paper, we explore the use of LLMs to generate both reasoning traces and task-specific actions in an interleaved manner, allowing for greater synergy between the two: reasoning traces help the model induce, track, and update action plans as well as handle exceptions, while actions allow it to interface with external sources, such as knowledge bases or environments, to gather additional information. We apply our approach, named ReAct, to a diverse set of language and decision making tasks and demonstrate its effectiveness over state-of-the-art baselines, as well as improved human interpretability and trustworthiness over methods without reasoning or acting components. Concretely, on question answering (HotpotQA) and fact verification (Fever), ReAct overcomes issues of hallucination and error propagation prevalent in chain-of-thought reasoning by interacting with a simple Wikipedia API, and generates human-like task-solving trajectories that are more interpretable than baselines without reasoning traces. On two interactive decision making benchmarks (ALFWorld and WebShop), ReAct outperforms imitation and reinforcement learning methods by an absolute success rate of 34% and 10% respectively, while being prompted with only one or two in-context examples. Project site with code: this https URL
Comments: v3 is the ICLR camera ready version with some typos fixed. Project site with code:
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
Cite as: [cs.CL]
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Introducing React.js

  • First Online: 03 April 2020

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research paper on react js

  • Mohit Thakkar 2  

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React.js is an open source JavaScript library created by Facebook in May 2013. It is used for building user interfaces. The best part about React is that it uses a declarative style of programming rather than an imperative style. While the former one specifies the compiler what to do, the latter one also has to specify how to do it. Thus, programming with React results in less code.

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Vadodara, Gujarat, India

Mohit Thakkar

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Thakkar, M. (2020). Introducing React.js. In: Building React Apps with Server-Side Rendering. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5869-9_2

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React JS - An Emerging Frontend JavaScript Library

  • Author(s): Pratik Sharad Maratkar ; Pratibha Adkar
  • Paper ID: 1702778
  • Page: 99-102
  • Published Date: 22-06-2021
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 4 Issue 12 June-2021

React JS is JavaScript library developed to design rich UI’s. It is one of the famous frontend library among the others. It incorporates with ‘View’ concept from MVC model(Model-View-Controller). React JS is backed by Facebook, Instagram and community of frontend developers and organization. React JS is emerging as one of the fastest and easy frontend library to be used in web applications as it has fully component based architecture. The purpose behind this paper is to showcase how and why React JS is emerging as one of the finest open sourced JavaScript library.

React JS, Frontend Development, MVC model, Web application development.

IRE Journals: Pratik Sharad Maratkar , Pratibha Adkar "React JS - An Emerging Frontend JavaScript Library" Iconic Research And Engineering Journals Volume 4 Issue 12 2021 Page 99-102

IEEE: Pratik Sharad Maratkar , Pratibha Adkar "React JS - An Emerging Frontend JavaScript Library" Iconic Research And Engineering Journals , 4(12)

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