{"data":{"slug":"zjunlp-knowledgeeditingpapers","name":"KnowledgeEditingPapers","tagline":"Must-read Papers on Knowledge Editing for Large Language Models","github_url":"https://github.com/zjunlp/KnowledgeEditingPapers","owner":"zjunlp","repo":"KnowledgeEditingPapers","owner_avatar_url":"https://avatars.githubusercontent.com/u/41887875?v=4","primary_language":null,"stars":1235,"forks":79,"topics":["awsome-list","easyedit","foundation-models","knowledge-editing","knowlm","large-language-models","model-editing","natural-language-processing","paper","paper-list","pre-trained-language-models","pre-trained-model","review","rome","survey"],"archived":false,"github_pushed_at":"2026-06-25T02:07:53+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/zjunlp-knowledgeeditingpapers","markdown_url":"https://www.graphcanon.com/tools/zjunlp-knowledgeeditingpapers.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zjunlp-knowledgeeditingpapers","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zjunlp-knowledgeeditingpapers","description":"Must-read Papers on Knowledge Editing for Large Language Models.","homepage_url":null,"license":"MIT","open_issues":0,"watchers":26,"ai_summary":"A collection of papers focusing on the editing and manipulation of knowledge within Large Language Models, exploring various mechanisms, fusion techniques, and advancements in understanding large language model capabilities.","readme_excerpt":"# Knowledge Editing for LLMs Papers\n\n \n\n \n\n\nMust-read papers on [knowledge editing](https://arxiv.org/abs/2305.13172) for large language models.\n\n## 🔔 News\n- **New Reports**\n\n    |     *Report*        |    Topic    | PPT Resource |\n    | :-----------------: | :---------: | :------------: |\n    |NLPCC2024 tutorial | Knowledge Mechanism, Fusion, Editing for LLMs| [Google Drive](https://drive.google.com/file/d/1MCzcOhK89bD2-b3s25Tb9cqDh8dEhIGt/view?usp=sharing)   |\n    |Invited Talk | Editing Large Language Models Advancing Machine Understanding and Control| [Google Drive](https://drive.google.com/file/d/19t7BiCsiZx2c_wPZCGbH8BEwe5YSkJOX/view?usp=sharing)   |\n  | CCL2024 tutorial| 大语言模型知识机理、融合与编辑|  [Google Drive](https://drive.google.com/file/d/1Tp7pWAl1MqMvNQUplPS411WQmmAmodcB/view?usp=sharing) & [BaiduPan](https://pan.baidu.com/s/14IFludc3KROrCdvSYrOfAw?pwd=shja)  |\n    | IJCAI2024 tutorial| Knowledge Editing for Large Language Models | [Google Drive](https://drive.google.com/file/d/1sg3Dy3gQo2bwOoLwWMFh57NfHROf3Ahg/view?usp=sharing) |\n    | COLING2024 tutorial| Knowledge Editing for Large Language Models| [Google Drive](https://drive.google.com/file/d/1vFzRYjnzkuZaNdjdIxQwWbEybCY7YqY9/view?usp=sharing)   |\n    | 北京智源大会| 大语言模型知识机理与编辑问题| [BaiduPan](https://pan.baidu.com/s/1X9n2LAkYYXFnPgkV_2b57Q?pwd=du6w)   |\n    | VALSE2024 tutorial| Knowledge Mechanism and Editing for Large Language Models| [Google Drive](https://drive.google.com/file/d/19T-InKopH-VHKAtphy9M6H366dXnenQX/view?usp=sharing)   |\n    | AAAI2024 tutorial | Knowledge Editing for Large Language Models    | [Google Drive](https://drive.google.com/file/d/1fkTbVeRJSWmU7fBDeNf1OhHEkLSofQde/view?usp=sharing)   |\n\n- **2024-09-26 Our paper: \"[WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models](https://arxiv.org/abs/2405.14768)\" and \"[Knowledge Circuits in Pretrained Transformers](https://arxiv.org/abs/2405.17969)\" have been accepted by NeurIPS 2024. Our papers: \"[Knowledge Mechanisms in Large Language Models: A Survey and Perspective](https://arxiv.org/abs/2407.15017)\" and \"[Editing Conceptual Knowledge for Large Language Models](https://arxiv.org/abs/2403.06259)\" have been accepted by EMNLP 2024 Findings.**\n- **2024-07-22 We release a new paper: \"[Knowledge Mechanisms in Large Language Models: A Survey and Perspective](https://arxiv.org/abs/2407.15017)\", which reviews how knowledge is acquired, utilized, and evolves in large language models.**\n- **2024-05-16 Our paper \"[Detoxifying Large Language Models via Knowledge Editing](https://arxiv.org/abs/2403.14472)\" has been accepted by ACL 2024.**\n- **2024-01-03  We release a new paper:\"[A Comprehensive Study of Knowledge Editing for Large Language Models](https://arxiv.org/abs/2401.01286)\" with a new benchmark [KnowEdit](https://huggingface.co/datasets/zjunlp/KnowEdit)! We are looking forward to any comments or discussions on this topic**\n- **2024-12-09 Our paper \"[Editing Language Model-based Knowledge Graph Embeddings?](https://arxiv.org/abs/2301.10405)\" has been accepted by AAAI 2024.**\n- **2023-11-18 We will provide a tutorial on *Knowledge Editing for Large Language Models* at COLING 2024.**\n- **2023-10-25 We will provide a tutorial on *Knowledge Editing for Large Language Models* at AAAI 2024.**\n- **2023-10-22 Our paper \"[Can We Edit Multimodal Large Language Models?](https://arxiv.org/abs/2310.08475)\" has been accepted by EMNLP 2023.**\n- **2023-10-08 Our paper \"[Editing Large Language Models: Problems, Methods, and Opportunities](https://arxiv.org/abs/2305.13172)\" has been accepted by EMNLP 2023.**\n- **2023-8-15 We release the paper \"[EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models](https://arxiv.org/abs/2308.07269).\"**\n- **2023-07 We release [EasyEdit](https://github.com/zjunlp/EasyEdit), an easy-to-use knowledge editing framework for LLMs.**\n- **2023-06 We will provide a tutorial on *[Editing Large Language Models](https://drive.google.com/file/d/1E","github_created_at":"2022-12-06T08:31:28+00:00","created_at":"2026-07-11T10:32:22.904574+00:00","updated_at":"2026-07-12T07:26:09.273465+00:00","categories":[{"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":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"knowledge-editing","name":"knowledge-editing"},{"slug":"large-language-models","name":"large-language-models"},{"slug":"model-editing","name":"model-editing"},{"slug":"natural-language-processing","name":"natural-language-processing"},{"slug":"pre-trained-language-models","name":"pre-trained-language-models"}],"trust":{"provenance":{"is_fork":false,"github_id":574861362,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T10:32:23.742Z","maintenance":{"label":"Active","score":82,"methodology":"github_public_v1","releases_90d":0,"days_since_push":16,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T10:32:25.329Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T11:21:57.831Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-07-11T11:21:57.831Z"}},"decision_facts":{"hosting":{"model":"unknown"},"pricing":null,"requirements":{},"constraints":{"hosting_model":"unknown"},"when_to_use":["You are specifically interested in recent advancements in knowledge editing techniques for large language models.","You want access to detailed tutorials and resources focused on how knowledge is managed and edited in LLMs.","Your research or work involves the improvement of LLM capabilities through targeted modification of their internal knowledge bases."],"when_not_to_use":["You are looking for a broad overview of machine learning or AI in general, as this repository focuses narrowly on knowledge editing within large language models.","If you seek practical tooling or implementation guidance rather than theoretical insights and review papers.","Your focus is more on data preprocessing or model training techniques unrelated to the specific modification of knowledge mechanisms in LLMs."],"source":"enrich:decision_facts","observed_at":"2026-07-11T11:22:27.052Z"},"constraint_facets":{"hosting_model":"unknown"},"decision_summary":[{"label":"Hosting","value":"unknown"},{"label":"Adopt for","value":"A specialized collection of foundational papers and reports that delve into the editing and manipulation of knowledge within large language models, making it a valuable resource for researchers looking to understand and斧"},{"label":"License detail","value":"MIT"}]}}