{"data":{"slug":"louisfb01-best-ai-papers-2023","name":"best_AI_papers_2023","tagline":"A curated list of the latest breakthroughs in AI (in 2023) by release date with a clear video explanation, link to a more in-depth article, and code.","github_url":"https://github.com/louisfb01/best_AI_papers_2023","owner":"louisfb01","repo":"best_AI_papers_2023","owner_avatar_url":"https://avatars.githubusercontent.com/u/70274208?v=4","primary_language":null,"stars":251,"forks":23,"topics":["ai","artificial-intelligence","computer-vision","machine-learning","ml","nlp","paper","papers","python","research","state-of-the-art"],"archived":false,"github_pushed_at":"2023-12-24T18:19:31+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/louisfb01-best-ai-papers-2023","markdown_url":"https://www.graphcanon.com/tools/louisfb01-best-ai-papers-2023.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/louisfb01-best-ai-papers-2023","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=louisfb01-best-ai-papers-2023","description":"A curated list of the latest breakthroughs in AI (in 2023) by release date with a clear video explanation, link to a more in-depth article, and code.","homepage_url":null,"license":"MIT","open_issues":0,"watchers":5,"ai_summary":null,"readme_excerpt":"# 2023: The best AI papers - A Review 🚀\n## A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code.\n\nWith the creation of a whole new field called \"Generative AI\", whether you like the term or not, research hasn't slowed its frenetic pace, especially the industry, which has seen its biggest boom in implementation of AI technologies ever. Artificial intelligence and our understanding of the human brain and its link to AI are constantly evolving, showing promising applications improving our life's quality in the near future. Still, we ought to be careful with which technology we choose to apply.\n\n>\"Science cannot tell us what we ought to do, only what we can do.\"<br/>- Jean-Paul Sartre, Being and Nothingness\n\nHere's curated list of the latest breakthroughs in AI and Data Science by release date with a clear video explanation, link to a more in-depth article, and code (if applicable). Enjoy the read!\n\n**The complete reference to each paper is listed at the end of this repository.** *Star this repository to stay up to date and stay tuned for next year!* ⭐️\n\nMaintainer: [louisfb01](https://github.com/louisfb01), also active on [YouTube](https://www.youtube.com/@whatsai) and as a [Podcaster](https://open.spotify.com/show/4rKRJXaXlClkDyInjHkxq3) if you want to see/hear more about AI!\n\n\n\n\nSubscribe to my [newsletter](https://louisbouchard.substack.com/) - The latest updates in AI explained every week.\n\n\n*Feel free to [message me](https://www.louisbouchard.ai/contact/) any interesting paper I may have missed to add to this repository.*\n\n*Tag me on **Twitter** [@Whats_AI](https://twitter.com/Whats_AI) or **LinkedIn** [@Louis (What's AI) Bouchard](https://www.linkedin.com/in/whats-ai/) if you share the list!* And come chat with us in our [Learn AI Together Discord community](https://www.louisbouchard.ai/learn-ai-together/)!\n\n👀 **If you'd like to support my work**, you can check to [Sponsor](https://github.com/sponsors/louisfb01) this repository or support me on [Patreon](https://www.patreon.com/whatsai).\n\n### Watch a complete 2023 rewind in 13 minutes\n\n[<img src=\"https://imgur.com/U69O8qQ.png\" width=\"512\"/>](https://youtu.be/J7H6kobw-lo)\n\n\n----\n\n## The Full List\n- [Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers [1]](#1)\n- [InstructPix2Pix: Learning to Follow Image Editing Instructions [2]](#2)\n- [MusicLM: Generating Music From Text [3]](#3)\n- [Structure and Content-Guided Video Synthesis with Diffusion Models [4]](#4)\n- [PaLM-E: An Embodied Multimodal Language Model [5]](#5)\n- [Segment Anything [6]](#6)\n- [Key-Locked Rank One Editing for Text-to-Image Personalization [7]](#7)\n- [Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold [8]](#8)\n- [Neuralangelo: High-Fidelity Neural Surface Reconstruction [9]](#9)\n- [TryOnDiffusion: A Tale of Two UNets [10]](#10)\n- [StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces [11]](#11)\n- [3D-LLM: Injecting the 3D World into Large Language Models [12]](#12)\n- [METAGPT: META PROGRAMMING FOR MULTI-AGENT COLLABORATIVE FRAMEWORK [13]](#13)\n- [Visual Instruction Tuning [14]](#14)\n- [MVDream: Multi-view Diffusion for 3D Generation [15]](#15)\n- [Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling [16]](#16)\n- [Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets[17]](#17)\n- [Paper references](#references)\n\n---\n\n## Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers [1]<a name=\"1\"></a>\nLast year we saw the uprising of generative AI for both images and text, most recently with ChatGPT. Now, within the first week of 2023, researchers have already created a new system for audio data called VALL-E.\n\nVALL-E is able to imitate someone’s voice with only a 3-second recording with higher similarity and speech naturalness than ever before. ChatGPT is able to imitate a human writer; VALL-E does","github_created_at":"2023-02-15T02:28:51+00:00","created_at":"2026-07-11T12:33:09.706759+00:00","updated_at":"2026-07-11T12:33:18.40258+00:00","categories":[{"slug":"vector-databases","name":"Vector Databases","url":"https://www.graphcanon.com/categories/vector-databases","markdown_url":"https://www.graphcanon.com/categories/vector-databases.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/vector-databases"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"}],"tags":[{"slug":"ml","name":"ml"},{"slug":"ai","name":"ai"},{"slug":"artificial-intelligence","name":"artificial-intelligence"},{"slug":"nlp","name":"nlp"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"paper","name":"paper"},{"slug":"papers","name":"papers"},{"slug":"computer-vision","name":"computer-vision"}],"trust":{"provenance":{"is_fork":false,"github_id":601877022,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T12:33:12.056Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":929,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T12:33:15.147Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T12:33:14.478Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-07-11T12:33:14.478Z"}}}}