Best AI tools for< Write Research Papers >

Google Colab is a free Jupyter notebook environment that runs in the cloud. It allows you to write and execute Python code without having to install any software or set up a local environment. Colab notebooks are shareable, so you can easily collaborate with others on projects.

CoWriter AI is an advanced AI copilot for smart writing, powered by GPT-4 technology. It offers a range of features designed to enhance writing efficiency, originality, and time-saving capabilities. CoWriter caters to students, professionals, researchers, and writers by providing AI-powered autocompletion, citation formatting aid, bibliography library, writing styles and tones adaptation, and outline builder functionalities. The application transforms writing experiences across various fields, including academic research, content creation, technical writing, business communications, creative writing, marketing, advertising, and legal documentation.

ReportGPT is an AI-powered writing assistant that helps users generate, review, and refine content. It offers a range of features designed to streamline the writing process, including AI-powered writing assistance, an intuitive user interface, customizable document structures, a versatile writing interface, and diverse export options. ReportGPT is suitable for a variety of writing tasks, including research papers, business plans, product reviews and comparisons, technical documentation, grant and proposal writing, and essays.

Researcher.Life is a comprehensive research support platform that provides AI-powered tools and expert publication services to empower researchers at every stage of their journey. With a suite of advanced AI tools, including Paperpal, R Discovery, and Mind the Graph, Researcher.Life helps researchers write better, discover relevant literature, create stunning scientific illustrations, and find the right journals for their work. Additionally, Researcher.Life offers expert publication services from Editage, ensuring that manuscripts are polished and ready for publication. By combining AI technology with human expertise, Researcher.Life simplifies complex research tasks, saves time, and accelerates the path to success for researchers worldwide.

Samwell AI is an AI-powered writing assistant that helps students and professionals write essays, research papers, and other academic content. It offers a variety of features, including a guided essay writing tool, in-text citation generation, plagiarism checking, and access to a vast database of academic sources. Samwell AI is designed to make the writing process easier, faster, and more efficient.

PaperGuide.AI is an AI-powered research platform that helps users discover, read, write, and manage research with ease. It offers features such as AI search to discover new papers, summaries to understand complex research, reference management, note-taking, and AI writing assistance. Trusted by over 500,000 users, PaperGuide.AI streamlines academic and research workflows by providing tools to synthesize research faster, manage references effectively, and write essays and research papers efficiently.

Avidnote is an AI tool designed for research writing, reading, and analysis. It enables users to write or read research papers faster, analyze research data with AI templates, summarize text, find research gaps, transcribe interviews, and more. Avidnote offers AI functionalities tailored for researchers, recommended by universities, and supported by researchers worldwide. The platform provides free and paid plans with varying features and benefits to cater to different user needs.

Litero is an AI-powered writing assistant designed specifically for students. It offers a range of tools to help students with their writing tasks, including an outline generator, AI autosuggest, citation tool, and built-in ChatGPT integration. Litero is easy to use and can help students save time and improve their writing skills.

Paperguide is an AI Research Platform that offers an all-in-one solution for researchers and students to discover, read, write, manage research papers with ease. It provides AI-powered Reference Manager and Writing Assistant to help users understand papers, manage references, annotate/take notes, and supercharge their writing process. With features like AI Search, Instant Summaries, Effortless Annotations, and Flawless Citations, Paperguide aims to streamline the academic and research workflow for its users.

WriteGo is an AI-powered academic writing and research paper generator that helps students, researchers, and professionals create high-quality written content quickly and efficiently. With WriteGo, users can generate essays, research papers, articles, and other academic documents in a matter of minutes. The tool uses advanced natural language processing (NLP) and machine learning algorithms to analyze user input and generate unique, well-written text that is tailored to the user's specific needs.

Edde.ai is an AI-powered academic writing assistant designed to streamline the academic journey of students and researchers. It offers a range of tools such as real-time suggestions, grammar checks, and stylistic improvements to enhance writing quality. Additionally, Edde.ai provides features like title and outline generation, research helper, citation manager, subject guides, and question solver to simplify the research process. With transparent pricing and a user-friendly interface, Edde.ai aims to empower users in creating high-quality academic content.

Jenni is an AI-powered text editor that helps you write, edit, and cite with confidence. It offers a range of features to enhance your research and writing capabilities, including autocomplete, in-text citations, paraphrasing, and a reference library. Trusted by universities and businesses worldwide, Jenni has helped over 3 million academics write over 970 million words.

Siuuu.ai is an AI writing tool designed to be your most powerful copilot in the writing process. It utilizes advanced artificial intelligence algorithms to assist users in generating high-quality written content efficiently. With Siuuu.ai, users can enhance their writing productivity, creativity, and accuracy. The tool provides intelligent suggestions, grammar corrections, and content optimization features to streamline the writing workflow. Whether you are a professional writer, student, or business owner, Siuuu.ai can help you elevate your writing skills and produce compelling content with ease.

EssayWriter is an AI-powered essay writing assistant that helps users write better and faster. It offers a range of features, including AI-powered writing tools, an integrated academic database, and a powerful citation generator. EssayWriter is designed to simplify the essay writing process, making it easier for students, teachers, and researchers to create high-quality essays.

EssayAI is an AI-powered essay writing tool that helps users generate high-quality, plagiarism-free essays. It is designed to be undetectable by AI detectors and offers a range of features to assist writers, including smart outlining, extensive scholarly database integration, instant citation system, intelligent AI chatbot, and vast AI-driven toolsets. EssayAI can be used to write essays for various academic levels and subjects, as well as research papers, theses, case studies, and analytical reviews. It is also suitable for content writing freelancers and students who need help improving their writing skills.

Aithor.com is an advanced AI content creation tool designed for writing and paraphrasing essays and papers online. It offers features such as Topic Finder, Outline Creator, Paper Wizard, and AI Co-Writer to assist users in creating academic content. Aithor ensures consistent on-brand messaging and provides personalized papers in minutes, helping users save time and enhance their writing skills.

Bash is an AI-powered platform that helps users turn information into actionable insights and documents. It offers a wide range of tools for product management, marketing, content creation, research, and more. With features like AI content generation, meeting minute writing, research paper summarization, and content distribution planning, Bash aims to streamline work processes and boost productivity. Users can organize information, get insights, and write faster using the platform's guided workflows and templates. Bash is designed to assist individuals and teams in various industries by providing AI-powered solutions for knowledge management and content creation.

Slaw.ai is an AI tool that allows users to write documents using AI technology, specifically leveraging GPT-4. Users can create various types of documents such as research papers and to-do lists with the help of AI. The platform offers different pricing plans for users to access AI writing capabilities, sharing documents, and more. With Slaw.ai, users can easily generate content with the assistance of artificial intelligence, making the document creation process more efficient and convenient.

UpSum is a text summarization tool that uses advanced AI technology to condense lengthy texts into concise summaries. It is designed to save users time and effort by extracting the key points and insights from documents, research papers, news articles, and other written content. UpSum's AI algorithm analyzes the text, identifies the most important sentences and phrases, and assembles them into a coherent summary that accurately represents the main ideas and key takeaways of the original text. The tool is easy to use, simply upload or paste your text, select the desired summary length, and click the summarize button. UpSum is available as a free web-based tool, as well as a premium subscription with additional features and capabilities.

AcademicIdeas is an AI-powered writing assistant that helps students and researchers with their academic writing. It offers a range of features to help users improve their writing, including grammar and plagiarism checking, citation generation, and personalized feedback.

Data-to-paper is an AI-driven framework designed to guide users through the process of conducting end-to-end scientific research, starting from raw data to the creation of comprehensive and human-verifiable research papers. The framework leverages a combination of LLM and rule-based agents to assist in tasks such as hypothesis generation, literature search, data analysis, result interpretation, and paper writing. It aims to accelerate research while maintaining key scientific values like transparency, traceability, and verifiability. The framework is field-agnostic, supports both open-goal and fixed-goal research, creates data-chained manuscripts, involves human-in-the-loop interaction, and allows for transparent replay of the research process.

GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks. It can produce detailed, factual, and unbiased research reports with customization options. The tool addresses issues of speed, determinism, and reliability by leveraging parallelized agent work. The main idea involves running 'planner' and 'execution' agents to generate research questions, seek related information, and create research reports. GPT Researcher optimizes costs and completes tasks in around 3 minutes. Features include generating long research reports, aggregating web sources, an easy-to-use web interface, scraping web sources, and exporting reports to various formats.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

This repository is a curated list of papers focused on the detection of Large Language Models (LLMs)-generated content. It includes the latest research papers covering detection methods, datasets, attacks, and more. The repository is regularly updated to include the most recent papers in the field.

The AI Scientist is a comprehensive system for fully automatic scientific discovery, enabling Foundation Models to perform research independently. It aims to tackle the grand challenge of developing agents capable of conducting scientific research and discovering new knowledge. The tool generates papers on various topics using Large Language Models (LLMs) and provides a platform for exploring new research ideas. Users can create their own templates for specific areas of study and run experiments to generate papers. However, caution is advised as the codebase executes LLM-written code, which may pose risks such as the use of potentially dangerous packages and web access.

This repository contains a collection of research papers related to watermarking techniques for text and images, specifically focusing on large language models (LLMs). The papers cover various aspects of watermarking LLM-generated content, including robustness, statistical understanding, topic-based watermarks, quality-detection trade-offs, dual watermarks, watermark collision, and more. Researchers have explored different methods and frameworks for watermarking LLMs to protect intellectual property, detect machine-generated text, improve generation quality, and evaluate watermarking techniques. The repository serves as a valuable resource for those interested in the field of watermarking for LLMs.

This repository contains a curated list of resources on generative information retrieval, including research papers, datasets, tools, and applications. Generative information retrieval is a subfield of information retrieval that uses generative models to generate new documents or passages of text that are relevant to a given query. This can be useful for a variety of tasks, such as question answering, summarization, and document generation. The resources in this repository are intended to help researchers and practitioners stay up-to-date on the latest advances in generative information retrieval.

The 'llm-misinformation-survey' repository is dedicated to the survey on combating misinformation in the age of Large Language Models (LLMs). It explores the opportunities and challenges of utilizing LLMs to combat misinformation, providing insights into the history of combating misinformation, current efforts, and future outlook. The repository serves as a resource hub for the initiative 'LLMs Meet Misinformation' and welcomes contributions of relevant research papers and resources. The goal is to facilitate interdisciplinary efforts in combating LLM-generated misinformation and promoting the responsible use of LLMs in fighting misinformation.

This repository is a collection of research lectures and experience sharing posts from frontline researchers in the field of AI. It aims to help individuals upgrade their research skills and knowledge through insightful talks and experiences shared by experts. The content covers various topics such as evaluating research papers, choosing research directions, research methodologies, and tips for writing high-quality scientific papers. The repository also includes discussions on academic career paths, research ethics, and the emotional aspects of research work. Overall, it serves as a valuable resource for individuals interested in advancing their research capabilities in the field of AI.

This repository provides a comprehensive survey of research papers on large language model (LLM)-based game agents. LLMs are powerful AI models that can understand and generate human language, and they have shown great promise for developing intelligent game agents. This survey covers a wide range of topics, including adventure games, crafting and exploration games, simulation games, competition games, cooperation games, communication games, and action games. For each topic, the survey provides an overview of the state-of-the-art research, as well as a discussion of the challenges and opportunities for future work.

Top AI Tools is a comprehensive, community-curated directory that aims to catalog and showcase the most outstanding AI-powered products. This index is not exhaustive, but rather a compilation of our research and contributions from the community.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and includes a process of embedding docs, queries, searching for top passages, creating summaries, using an LLM to re-score and select relevant summaries, putting summaries into prompt, and generating answers. The tool can be used to answer specific questions related to scientific research by leveraging citations and relevant passages from documents.

AI-Writer is an AI content generation toolkit called Alwrity that automates and enhances the process of blog creation, optimization, and management. It integrates advanced AI models for text generation, image creation, and data analysis, offering features such as online research integration, long-form content generation, AI content planning, multilingual support, prevention of AI hallucinations, multimodal content generation, SEO optimization, and integration with platforms like Wordpress and Jekyll. The toolkit is designed for automated blog management and requires appropriate API keys and access credentials for full functionality.

Awesome-LLM is a curated list of resources related to large language models, focusing on papers, projects, frameworks, tools, tutorials, courses, opinions, and other useful resources in the field. It covers trending LLM projects, milestone papers, other papers, open LLM projects, LLM training frameworks, LLM evaluation frameworks, tools for deploying LLM, prompting libraries & tools, tutorials, courses, books, and opinions. The repository provides a comprehensive overview of the latest advancements and resources in the field of large language models.

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

EdgeChains is an open-source chain-of-thought engineering framework tailored for Large Language Models (LLMs)- like OpenAI GPT, LLama2, Falcon, etc. - With a focus on enterprise-grade deployability and scalability. EdgeChains is specifically designed to **orchestrate** such applications. At EdgeChains, we take a unique approach to Generative AI - we think Generative AI is a deployment and configuration management challenge rather than a UI and library design pattern challenge. We build on top of a tech that has solved this problem in a different domain - Kubernetes Config Management - and bring that to Generative AI. Edgechains is built on top of jsonnet, originally built by Google based on their experience managing a vast amount of configuration code in the Borg infrastructure.

The 'ollama-ebook-summary' repository is a Python project that creates bulleted notes summaries of books and long texts, particularly in epub and pdf formats with ToC metadata. It automates the extraction of chapters, splits them into ~2000 token chunks, and allows for asking arbitrary questions to parts of the text for improved granularity of response. The tool aims to provide summaries for each page of a book rather than a one-page summary of the entire document, enhancing content curation and knowledge sharing capabilities.

Phidata is a framework for building AI Assistants with memory, knowledge, and tools. It enables LLMs to have long-term conversations by storing chat history in a database, provides them with business context by storing information in a vector database, and enables them to take actions like pulling data from an API, sending emails, or querying a database. Memory and knowledge make LLMs smarter, while tools make them autonomous.

Assists in psychological meta-analysis research with R language expertise.

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Research Proposal Assistant Pro is designed to provide tailored assistance in research writing.

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Academic writer for SCI papers on lung nodule procedures.