Best AI tools for< Edit Papers >

Yomu AI is an AI-powered writing assistant designed to help users write better essays, papers, and academic writing. It offers features such as an intelligent Document Assistant, AI autocomplete, paper editing tools, citation tool, plagiarism checker, and more. Yomu aims to simplify academic writing, enhance productivity, and ensure originality and authenticity in the users' work.

Yomu is an AI-powered writing assistant designed to help users with academic writing tasks such as writing essays and papers. It offers features like an intelligent Document Assistant, AI autocomplete, paper editing tools, citation tool, plagiarism checker, and more. Yomu aims to simplify the academic writing process by providing AI-powered assistance to enhance writing quality and originality.

Editage is a professional editing, translation, and publication support services company that enables academicians, researchers, scientists, and authors worldwide to publish their work in the best light. Over the past two decades, Editage has helped 500,000+ researchers across 192+ countries to pursue successful publications. The goal is to help researchers improve the quality of their research and increase their chances of publication in international indexed journals.

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.

Scribbr.com is an online platform that offers academic proofreading and editing services for students and academics. The website helps users improve the quality of their academic papers by providing professional editing and feedback. Scribbr.com aims to assist users in enhancing their writing skills and academic performance by offering personalized feedback and suggestions. The platform is designed to support users in achieving their academic goals by providing high-quality editing services and educational resources.

Earkind is an AI-generated podcast platform that offers engaging and entertaining content by combining language models with neural expressive text-to-speech and programmatic audio editing. The platform creates full podcast episodes based on selected news and research papers, featuring lively discussions between fictional characters. Earkind aims to provide a fun and non-serious approach to Artificial Intelligence news and research, with a focus on personalized audio 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.

Macro is a cloud AI workspace that combines document editing, file storage, collaboration, and LLMs. It allows users to understand content instantly by clicking or highlighting text to see its meaning. The application is particularly useful for analyzing financial documents, legal contracts, and academic papers. Macro offers different storage and AI compute plans to cater to various user needs.

My Perfect Essays is an AI-powered essay writing service that offers a comprehensive solution for effortless essay composition. With a team of over 200 writing experts, the platform provides custom essay services using AI technology to ensure 100% plagiarism-free papers. Students can access 24/7 customer support and benefit from a 100% money-back guarantee. My Perfect Essays simplifies the essay ordering process and offers a range of services for various academic levels and document types. The platform is trusted by over 30,000 students and provides a user-friendly experience for ordering essays and accessing top writers.

Paraphrasing.io is a free AI paraphrasing tool that helps users rewrite, edit, and adjust the tone of their content for improved comprehension. It prevents plagiarism in various types of content such as blogs, research papers, and more using cutting-edge AI technology. The tool offers four paraphrasing modes to cater to different writing styles and resonates with a distinct writing style. Users including writers, bloggers, researchers, students, and laypersons can benefit from this online tool to enhance the uniqueness, engagement, and readability of their content.

Storydoc is an AI-powered presentation tool that allows users to easily create stunning, interactive decks to increase engagement. With a variety of templates and features, Storydoc helps users bring their stories to life and win more customers. The platform offers tools for creating pitch decks, sales decks, proposals, reports, brochures, white papers, EPKs, business plans, one pagers, e-books, and more. Users can generate their decks with AI, edit them with automatic slide copy and design, and turbo-charge them with integrations. Storydoc also provides real-time deck analytics, personalized versions, and a community of creators for support and inspiration.

Cactus Communications is a science communication and technology company specializing in AI products and solutions for research funding, publication, communication, and discovery. Their services include editorial services, author education, research promotion, technology solutions, and medical communications.

Edit-Videos-Online.com is a free online video editor that allows users to edit and create videos without the need for registration or software installation. It supports a wide range of popular video formats and offers a variety of features such as video trimming, background removal, automatic caption generation, text and image addition, and audio editing. The editor is easy to use and provides a seamless video editing experience for both novices and experts.

Edit on the Spot is an automated video editing tool designed for events and online creators. It utilizes AI technology to streamline the video editing process, making it faster, easier, and more efficient. The tool allows users to edit videos in real-time, eliminating the need for manual editing tasks such as downloading, ingesting, and moving files between editing tools. With features like automatic trimming, AI-powered editing, custom branding, and instant delivery, Edit on the Spot aims to revolutionize the video editing industry by providing a hands-off approach to content creation.

Million Dollar Edit 2.0 is an AI-powered editing tool that helps you write and edit faster and more efficiently. With its advanced AI algorithms, Million Dollar Edit 2.0 can help you identify and correct errors, improve your writing style, and even generate new content. Whether you're a student, a professional writer, or anyone who wants to improve their writing skills, Million Dollar Edit 2.0 can help you take your writing to the next level.

Fotor is a free online photo editor that offers a wide range of features for editing and enhancing photos. With Fotor, you can crop, resize, adjust lighting and color, add filters and effects, and more. Fotor also offers a variety of AI-powered tools, such as AI Photo Enhancer, AI Background Remover, and AI Object Remover. These tools can help you to improve the quality of your photos, remove unwanted objects, and create stunning photo effects.

Picsart is a free online photo editor and collage maker that allows users to edit photos, create collages, and add effects. It is a popular tool for both professional and amateur photographers, and it is also used by businesses to create marketing materials. Picsart is available as a web application, a desktop application, and a mobile app.

Filmora is an easy-to-use video editing software that is powered by AI. It offers a wide range of features, including AI-powered editing tools, templates, and resources. Filmora is perfect for beginners and experienced video editors alike. With Filmora, you can create professional-looking videos quickly and easily.

Descript is an AI-powered video and podcast editing tool that simplifies the editing process by allowing users to edit videos and podcasts like working on documents and slides. It offers features such as multitrack audio editing, automatic transcription, screen recording, and AI-generated captions. Descript's AI assistant, Underlord, enhances creativity by assisting in tasks like creating clips, translations, eye contact adjustments, and studio sound enhancements. The tool is designed to streamline the workflow for creators and teams, providing a user-friendly interface and powerful AI capabilities.

Wondershare Filmora is a powerful and easy-to-use video editing software that is perfect for both beginners and experienced users. With a wide range of features and tools, Filmora makes it easy to create professional-looking videos with just a few clicks. Whether you're a filmmaker, a marketer, or just someone who wants to share your stories with the world, Filmora has everything you need to get started.

Awesome-Papers-Autonomous-Agent is a curated collection of recent papers focusing on autonomous agents, specifically interested in RL-based agents and LLM-based agents. The repository aims to provide a comprehensive resource for researchers and practitioners interested in intelligent agents that can achieve goals, acquire knowledge, and continually improve. The collection includes papers on various topics such as instruction following, building agents based on world models, using language as knowledge, leveraging LLMs as a tool, generalization across tasks, continual learning, combining RL and LLM, transformer-based policies, trajectory to language, trajectory prediction, multimodal agents, training LLMs for generalization and adaptation, task-specific designing, multi-agent systems, experimental analysis, benchmarking, applications, algorithm design, and combining with RL.

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

EasyEdit is a Python package for edit Large Language Models (LLM) like `GPT-J`, `Llama`, `GPT-NEO`, `GPT2`, `T5`(support models from **1B** to **65B**), the objective of which is to alter the behavior of LLMs efficiently within a specific domain without negatively impacting performance across other inputs. It is designed to be easy to use and easy to extend.

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 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.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

Prompt4ReasoningPapers is a repository dedicated to reasoning with language model prompting. It provides a comprehensive survey of cutting-edge research on reasoning abilities with language models. The repository includes papers, methods, analysis, resources, and tools related to reasoning tasks. It aims to support various real-world applications such as medical diagnosis, negotiation, etc.

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

Awesome-AIGC-3D is a curated list of awesome AIGC 3D papers, inspired by awesome-NeRF. It aims to provide a comprehensive overview of the state-of-the-art in AIGC 3D, including papers on text-to-3D generation, 3D scene generation, human avatar generation, and dynamic 3D generation. The repository also includes a list of benchmarks and datasets, talks, companies, and implementations related to AIGC 3D. The description is less than 400 words and provides a concise overview of the repository's content and purpose.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

Awesome-LLM-Interpretability is a curated list of materials related to LLM (Large Language Models) interpretability, covering tutorials, code libraries, surveys, videos, papers, and blogs. It includes resources on transformer mechanistic interpretability, visualization, interventions, probing, fine-tuning, feature representation, learning dynamics, knowledge editing, hallucination detection, and redundancy analysis. The repository aims to provide a comprehensive overview of tools, techniques, and methods for understanding and interpreting the inner workings of large language models.

Awesome-Story-Generation is a repository that curates a comprehensive list of papers related to Story Generation and Storytelling, focusing on the era of Large Language Models (LLMs). The repository includes papers on various topics such as Literature Review, Large Language Model, Plot Development, Better Storytelling, Story Character, Writing Style, Story Planning, Controllable Story, Reasonable Story, and Benchmark. It aims to provide a chronological collection of influential papers in the field, with a focus on citation counts for LLMs-era papers and some earlier influential papers. The repository also encourages contributions and feedback from the community to improve the collection.

Awesome-AI-Coding is a curated list of AI coding topics, projects, datasets, LLM models, embedding models, papers, blogs, products, startups, and peer awesome lists related to artificial intelligence in coding. It includes tools for code completion, code generation, code documentation, and code search, as well as AI models and techniques for improving developer productivity. The repository also features information on various AI-powered developer tools, copilots, and related resources in the AI coding domain.

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.

Awesome LLM for APR is a repository dedicated to exploring the capabilities of Large Language Models (LLMs) in Automated Program Repair (APR). It provides a comprehensive collection of research papers, tools, and resources related to using LLMs for various scenarios such as repairing semantic bugs, security vulnerabilities, syntax errors, programming problems, static warnings, self-debugging, type errors, web UI tests, smart contracts, hardware bugs, performance bugs, API misuses, crash bugs, test case repairs, formal proofs, GitHub issues, code reviews, motion planners, human studies, and patch correctness assessments. The repository serves as a valuable reference for researchers and practitioners interested in leveraging LLMs for automated program repair.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

This repository is a collection of resources focused on interpretability in large language models (LLMs). It aims to help beginners get started in the area and keep researchers updated on the latest progress. It includes libraries, blogs, tutorials, forums, tools, programs, papers, and more related to interpretability in LLMs.

Editing and polishing your research papers professionally in an easy way!

Refines scientific economics papers with an eye for discipline-specific style and grammar.

Reword: Your advanced text revison ally for your everyday writing! Simply ask Reword to reword your text, then paste your text into Reword's input field. Reword your written copy, emails, papers, text messages, and much more!

I generate structured academic paper reviews.

Ensuring highest excellence in academic writing

A professor aiding in research paper editing.

论文润色降重助手，专注于提高语言流畅度和原创性

Graduate advisor for refining academic papers

Academic writer for SCI papers on lung nodule procedures.

Mentor for crafting top-tier ML and DL conference papers.

Expert in crafting high-standard research papers.

Hyper-intelligent quill for summarizing papers, writing LaTeX, and improving scientific writing.

Generates APA papers with detailed reference lists.

I'm an expert in professional writing, from sci papers to novels, with a touch of emoji joy! 😊

Concise NeRF guide, summarizing top papers and aiding research.

Professional academic essay writer trained to assist students in essay writing, performing research and finding authorative resources. Developed by PapersOwl.com

英翻中，适合于科技类文章，保留原汁原味，信雅达

Specializes in clear, precise academic writing in the natural sciences. Corrects text provided by the user and does not write originally.

直接输入英语版本的科技文章、论文等，直接进行翻译！