Best AI tools for< Generate Citations >

EssayGet is an AI tool designed to assist users in writing academic papers by providing features such as humanizing text, ensuring plagiarism-free content, generating in-text citations, and creating comprehensive outlines. The tool utilizes advanced algorithms to refine and rephrase writing, making it undetectable by top AI detectors like Turnitin, GPTZero, and Originality.ai. EssayGet aims to help students maintain the authenticity and originality of their work effortlessly, trusted by top university students for its reliable services.

Scribbr is an AI-powered academic writing tool that offers a range of services to help students achieve academic success. It provides proofreading and editing services, plagiarism checking, citation generation, AI content detection, and a knowledge base with resources for academic writing. Scribbr aims to support students on their journey to become better academic writers by providing the right tools for success.

Quetext is a plagiarism checker and AI content detector that helps students, teachers, and professionals identify potential plagiarism and AI in their work. With its deep search technology, contextual analysis, and smart algorithms, Quetext makes checking writing easier and more accurate. Quetext also offers a variety of features such as bulk uploads, source exclusion, enhanced citation generator, grammar & spell check, and Deep Search. With its rich and intuitive feedback, Quetext helps users find plagiarism and AI with less stress.

ArxivPaperAI is an AI-powered research paper summarizer that helps you quickly and easily understand the key points of academic papers. With ArxivPaperAI, you can:

Multilings is a neural AI-based machine learning service that provides human-like output for text translation, content writing, plagiarism detection, and voice translation. It is designed for marketers, content writers, researchers, students, and anyone who needs to create high-quality content quickly and efficiently. Multilings offers a range of tools, including a writing assistant, language translator, plagiarism checker, citation generator, and AI chatbot. These tools are powered by advanced machine learning and artificial intelligence algorithms that can generate natural-sounding text, translate languages accurately, detect plagiarism effectively, and provide helpful writing suggestions.

AcademicHelp's Essay Rewriter is a free online paraphrasing tool that uses AI to help you rewrite your essays, articles, and other written content. It offers seven different paraphrasing modes to choose from, so you can customize the output to your specific needs. The tool is easy to use, simply paste your text into the box and click the "Paraphrase" button. The tool will then generate a new version of your text that is free of plagiarism and has a high readability score. You can also use the tool to check for plagiarism, summarize text, and generate citations.

QuillBot is an AI-powered paraphrasing tool that helps students and professionals rewrite, edit, and change the tone of their text to improve clarity and comprehension. It offers various features such as customization, synonym suggestions, and integrations with other writing tools. QuillBot's paraphrasing tool is designed to enhance writing fluency, vocabulary, tone, and style, making it suitable for a wide range of writing tasks.

AHelp is the ultimate hub of educational and AI writing tools designed to assist students in improving their writing skills, enhancing efficiency, and achieving academic success. The platform offers a variety of powerful AI tools and applications such as Paraphraser, Grammar Checker, Plagiarism Checker, AI Detector, AI Essay Writer, Summarizer, and Citation Generator. AHelp is a one-stop solution for better writing, providing confidentiality, privacy, and a money-back guarantee. With a mission to empower students from top universities, AHelp ensures 100% compliance with academic standards, a significant improvement in writing quality, and a faster writing and research process.

PDF GPT is an AI-powered tool that allows users to read PDFs with the help of artificial intelligence. It can summarize long documents, find information, translate content, and generate citations from PDF files in various languages. With features like document tagging, group chat functionality, and advanced search capabilities, PDF GPT aims to streamline the document management process for researchers and professionals. The tool is trusted by over 50,000 users and offers both free and premium subscription plans to cater to different user needs.

HeyScience is a personal AI assistant that helps users with research and writing tasks. It is powered by thesify.ai, a powerful AI-driven study assistant. HeyScience offers a variety of features, including the ability to generate citations, create outlines, and check for plagiarism. It also provides access to a vast database of academic resources.

SciSpace is an AI-powered tool that helps researchers understand research papers better. It can explain and elaborate most academic texts in simple words. It is a great tool for students, researchers, and anyone who wants to learn more about a particular topic. SciSpace has a user-friendly interface and is easy to use. Simply upload a research paper or enter a URL, and SciSpace will do the rest. It will highlight key concepts, provide definitions, and generate a summary of the paper. SciSpace can also be used to generate citations and find related papers.

Henshu is an AI-powered writing assistant that helps users improve their writing style, grammar, and tone. It offers a variety of features, including the ability to check for plagiarism, generate citations, and translate text into different languages. Henshu is designed to help users create clear, concise, and engaging content.

CitationGenerator.AI is an AI-powered citation generator that helps users create accurate citations in APA, MLA, Chicago, and Harvard formats. The tool automatically extracts information from URLs, titles, ISBNs, or DOIs to generate precise citations. It offers a clean interface, supports multiple citation styles, and allows users to manage their research efficiently with features like import/export capabilities and custom fonts. CitationGenerator.AI prioritizes user privacy by encrypting data and offers free access without any hidden costs or ads. The tool is designed to enhance research integrity and ease by providing a user-friendly experience.

Slideoo is an AI-powered tool for creating captivating presentations and professional documents in minutes. It offers real-time collaboration features, chatbot assistance, and AI-generated content to enhance productivity and streamline the document creation process. With over 10,000 customers from 10 countries, Slideoo revolutionizes the way presentations are made by transforming ideas from various sources into dynamic slides and documents effortlessly.

Coral AI is an AI-powered platform that helps users search, summarize, translate, and get citations from documents in over 90 languages. Trusted by researchers and professionals, it simplifies tasks such as summarizing documents, asking questions, translating content, and generating study guides. Users can upload documents, ask questions, and receive answers with page citations, making it a valuable tool for various use cases like books, legal documents, research papers, and more. With features like search without keywords, generating study guides, and simplifying document summaries, Coral AI enhances productivity and saves users time.

Doclime is an AI-powered document analysis tool that helps users extract insights and automate tasks from their documents. It uses natural language processing and machine learning to analyze text, identify key information, and generate summaries, reports, and other insights. Doclime can be used for a variety of tasks, including contract review, due diligence, market research, and customer support.

SlidesAI is an AI-powered tool that helps users create professional and engaging presentation slides in seconds. With SlidesAI, users can simply paste their text into the tool, and the AI will automatically generate a presentation complete with design elements, images, and even speaker notes. SlidesAI is perfect for anyone who wants to save time and effort on creating presentations, including students, educators, business professionals, and marketers.

NotebookLM is an AI-powered note-taking and research assistant that leverages Google's Gemini 1.5 Pro model. It helps users organize and analyze information from uploaded documents, providing personalized insights and in-line citations. NotebookLM prioritizes user privacy by not using personal data to train its AI, ensuring the security of sensitive information. The application is designed to assist users in transforming information into actionable insights efficiently and collaboratively.

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.

RikiGPT is an AI tool designed for academic research, offering access to over 200 million scholarly sources. It provides enhanced writing experiences with detailed content, customizable reference lists, and integration with the latest GPT technology. Users can generate a 200-page thesis in just 1 minute, receive full academic chapters, and benefit from in-text citations and bibliography support. The tool also offers full translation services to over 100 languages, making it a comprehensive solution for research and writing needs.

LongCite is a tool that enables Large Language Models (LLMs) to generate fine-grained citations in long-context Question Answering (QA) scenarios. It provides models trained on GLM-4-9B and Meta-Llama-3.1-8B, supporting up to 128K context. Users can deploy LongCite chatbots, generate accurate responses, and obtain precise sentence-level citations. The tool includes components for model deployment, Coarse to Fine (CoF) pipeline for data construction, model training using LongCite-45k dataset, evaluation with LongBench-Cite benchmark, and citation generation.

LARS is an application that enables users to run Large Language Models (LLMs) locally on their devices, upload their own documents, and engage in conversations where the LLM grounds its responses with the uploaded content. The application focuses on Retrieval Augmented Generation (RAG) to increase accuracy and reduce AI-generated inaccuracies. LARS provides advanced citations, supports various file formats, allows follow-up questions, provides full chat history, and offers customization options for LLM settings. Users can force enable or disable RAG, change system prompts, and tweak advanced LLM settings. The application also supports GPU-accelerated inferencing, multiple embedding models, and text extraction methods. LARS is open-source and aims to be the ultimate RAG-centric LLM application.

RAGHub is a community-driven project focused on cataloging new and emerging frameworks, projects, and resources in the Retrieval-Augmented Generation (RAG) ecosystem. It aims to help users stay ahead of changes in the field by providing a platform for the latest innovations in RAG. The repository includes information on RAG frameworks, evaluation frameworks, optimization frameworks, citation frameworks, engines, search reranker frameworks, projects, resources, and real-world use cases across industries and professions.

Cohere's Build-Your-Own-Connector framework allows integration of Cohere's Command LLM via the Chat API endpoint to any datastore/software holding text information with a search endpoint. Enables user queries grounded in proprietary information. Use-cases include question/answering, knowledge working, comms summary, and research. Repository provides code for popular datastores and a template connector. Requires Python 3.11+ and Poetry. Connectors can be built and deployed using Docker. Environment variables set authorization values. Pre-commits for linting. Connectors tailored to integrate with Cohere's Chat API for creating chatbots. Connectors return documents as JSON objects for Cohere's API to generate answers with citations.

LLM4IR-Survey is a collection of papers related to large language models for information retrieval, organized according to the survey paper 'Large Language Models for Information Retrieval: A Survey'. It covers various aspects such as query rewriting, retrievers, rerankers, readers, search agents, and more, providing insights into the integration of large language models with information retrieval systems.

This repository focuses on unraveling the sources that large language models tap into for attribution or citation. It delves into the origins of facts, their utilization by the models, the efficacy of attribution methodologies, and challenges tied to ambiguous knowledge reservoirs, biases, and pitfalls of excessive attribution.

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 does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

This repository includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation for Long Context Modeling.

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

A.I. for GNU Image Manipulation Program (GIMP-ML) is a repository that provides Python plugins for using computer vision models in GIMP. The code base and models are continuously updated to support newer and more stable functionality. Users can edit images with text, outpaint images, and generate images from text using models like Dalle 2 and Dalle 3. The repository encourages citations using a specific bibtex entry and follows the MIT license for GIMP-ML and the original models.

GPT Academic is a powerful tool that leverages the capabilities of large language models (LLMs) to enhance academic research and writing. It provides a user-friendly interface that allows researchers, students, and professionals to interact with LLMs and utilize their abilities for various academic tasks. With GPT Academic, users can access a wide range of features and functionalities, including: * **Summarization and Paraphrasing:** GPT Academic can summarize complex texts, articles, and research papers into concise and informative summaries. It can also paraphrase text to improve clarity and readability. * **Question Answering:** Users can ask GPT Academic questions related to their research or studies, and the tool will provide comprehensive and well-informed answers based on its knowledge and understanding of the relevant literature. * **Code Generation and Explanation:** GPT Academic can generate code snippets and provide explanations for complex coding concepts. It can also help debug code and suggest improvements. * **Translation:** GPT Academic supports translation of text between multiple languages, making it a valuable tool for researchers working with international collaborations or accessing resources in different languages. * **Citation and Reference Management:** GPT Academic can help users manage their citations and references by automatically generating citations in various formats and providing suggestions for relevant references based on the user's research topic. * **Collaboration and Note-Taking:** GPT Academic allows users to collaborate on projects and take notes within the tool. They can share their work with others and access a shared workspace for real-time collaboration. * **Customizable Interface:** GPT Academic offers a customizable interface that allows users to tailor the tool to their specific needs and preferences. They can choose from a variety of themes, adjust the layout, and add or remove features to create a personalized workspace. Overall, GPT Academic is a versatile and powerful tool that can significantly enhance the productivity and efficiency of academic research and writing. It empowers users to leverage the capabilities of LLMs and unlock new possibilities for academic exploration and knowledge creation.

DemoGPT is an all-in-one agent library that provides tools, prompts, frameworks, and LLM models for streamlined agent development. It leverages GPT-3.5-turbo to generate LangChain code, creating interactive Streamlit applications. The tool is designed for creating intelligent, interactive, and inclusive solutions in LLM-based application development. It offers model flexibility, iterative development, and a commitment to user engagement. Future enhancements include integrating Gorilla for autonomous API usage and adding a publicly available database for refining the generation process.

InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) based on InternLM2-7B excelling in free-form text-image composition and comprehension. It boasts several amazing capabilities and applications: * **Free-form Interleaved Text-Image Composition** : InternLM-XComposer2 can effortlessly generate coherent and contextual articles with interleaved images following diverse inputs like outlines, detailed text requirements and reference images, enabling highly customizable content creation. * **Accurate Vision-language Problem-solving** : InternLM-XComposer2 accurately handles diverse and challenging vision-language Q&A tasks based on free-form instructions, excelling in recognition, perception, detailed captioning, visual reasoning, and more. * **Awesome performance** : InternLM-XComposer2 based on InternLM2-7B not only significantly outperforms existing open-source multimodal models in 13 benchmarks but also **matches or even surpasses GPT-4V and Gemini Pro in 6 benchmarks** We release InternLM-XComposer2 series in three versions: * **InternLM-XComposer2-4KHD-7B** 🤗: The high-resolution multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _High-resolution understanding_ , _VL benchmarks_ and _AI assistant_. * **InternLM-XComposer2-VL-7B** 🤗 : The multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _VL benchmarks_ and _AI assistant_. **It ranks as the most powerful vision-language model based on 7B-parameter level LLMs, leading across 13 benchmarks.** * **InternLM-XComposer2-VL-1.8B** 🤗 : A lightweight version of InternLM-XComposer2-VL based on InternLM-1.8B. * **InternLM-XComposer2-7B** 🤗: The further instruction tuned VLLM for _Interleaved Text-Image Composition_ with free-form inputs. Please refer to Technical Report and 4KHD Technical Reportfor more details.

Petals is a tool that allows users to run large language models at home in a BitTorrent-style manner. It enables fine-tuning and inference up to 10x faster than offloading. Users can generate text with distributed models like Llama 2, Falcon, and BLOOM, and fine-tune them for specific tasks directly from their desktop computer or Google Colab. Petals is a community-run system that relies on people sharing their GPUs to increase its capacity and offer a distributed network for hosting model layers.

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.

TurboSeek is an open source AI search engine powered by Together.ai. It utilizes Next.js with Tailwind for the app router, Together AI for LLM inference, Mixtral 8x7B & Llama-3 for the LLMs, Bing for the search API, Helicone for observability, and Plausible for website analytics. The tool takes a user's question, queries the Bing search API for top results, scrapes text from the links, sends the question and context to Mixtral-8x7B, and generates follow-up questions using Llama-3-8B. Future tasks include optimizing source parsing, ignoring video links, adding regeneration option, ensuring proper citations, enabling sharing, implementing scrolling during answers, fixing hard refresh, adding caching with upstash redis, incorporating advanced RAG techniques, and adding authentication with Clerk and postgres/prisma.

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.

Drafts detailed research papers with web-sourced citations, following user-specific instructions.

Looking for the perfect Medium.com humanized stylish article made just for you? This GPT uses numerous APIs to find what's trending, what medium articles are currently popular, uses data to write an entire masterpiece along with images, sources, citations, video embeds, etc.

Comprehensive dissertation aid with interactive and analytical tools

I turn citation details into formatted tables.

Your dissertation assistant.

A smart assistant for creating effective academic notes.

Copy paste the journal guideline and your manuscript here.

上传学术文档，用它来辅助阅读

Generates legal citations based on the Indigo Book rules

Converts multiple citations to a single BibTeX block.

I generate bibliographies and footnotes for info.

FRC expert with precise rule citations and tech advice.

Your source for detailed cricket info, with source citations.

Expert in citation styles and reference generation.

Expert in article-based reference generation and formatting.

Generate bibtex for a research paper title

Input your work and harvard referencing will be automated for you

The Ultimate Recipe Generator: Personalized creations for the discerning chef!

I design Hearthstone cards and generate art.

Meet the Boring Guru builder and his creations