{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/knowledge-editing/papers/2","list_of":"/task/knowledge-editing","task":"knowledge editing","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":2,"pages_in_order":2,"rows_per_page":100,"rows":[101,175],"of":175,"counts":{"archive_papers_tagged":175,"with_a_code_link":88,"where_syntology_ran_a_sample":45,"not_listed_spam_title":0,"listed":175,"listed_where_code_ran":45,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":36,"every_run_a_failure_of_syntologys_instrument":9,"listed_with_a_run_with_no_instrument_failure":36,"listed_every_run_a_failure_of_syntologys_instrument":9,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/knowledge-editing","prev":"/task/knowledge-editing","next":null,"papers":[{"url":null,"slug":"deltaedit-enhancing-sequential-editing-in","title":"DeltaEdit: Enhancing Sequential Editing in Large Language Models by Controlling Superimposed Noise","date":"2025-05-12","arxiv_id":"2505.07899","repositories_listed":0,"syntology":null},{"url":null,"slug":"balancedit-dynamically-balancing-the","title":"BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing","date":"2025-05-02","arxiv_id":"2505.01343","repositories_listed":0,"syntology":null},{"url":null,"slug":"setke-knowledge-editing-for-knowledge","title":"SetKE: Knowledge Editing for Knowledge Elements Overlap","date":"2025-04-29","arxiv_id":"2504.20972","repositories_listed":0,"syntology":null},{"url":null,"slug":"functional-abstraction-of-knowledge-recall-in","title":"Functional Abstraction of Knowledge Recall in Large Language Models","date":"2025-04-20","arxiv_id":"2504.14496","repositories_listed":0,"syntology":null},{"url":null,"slug":"m-ke-matryoshka-unstructured-knowledge","title":"$μ$KE: Matryoshka Unstructured Knowledge Editing of Large Language Models","date":"2025-04-01","arxiv_id":"2504.01196","repositories_listed":0,"syntology":null},{"url":null,"slug":"identifying-multi-modal-knowledge-neurons-in","title":"Identifying Multi-modal Knowledge Neurons in Pretrained Transformers via Two-stage Filtering","date":"2025-03-29","arxiv_id":"2503.22941","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-the-limits-of-lifelong","title":"Understanding the Limits of Lifelong Knowledge Editing in LLMs","date":"2025-03-07","arxiv_id":"2503.05683","repositories_listed":0,"syntology":null},{"url":null,"slug":"unlocking-efficient-scalable-and-continual","title":"Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning","date":"2025-03-01","arxiv_id":"2503.00306","repositories_listed":0,"syntology":null},{"url":null,"slug":"geoedit-geometric-knowledge-editing-for-large","title":"GeoEdit: Geometric Knowledge Editing for Large Language Models","date":"2025-02-27","arxiv_id":"2502.19953","repositories_listed":0,"syntology":null},{"url":null,"slug":"edit-once-update-everywhere-a-simple","title":"Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs","date":"2025-02-20","arxiv_id":"2502.14645","repositories_listed":0,"syntology":null},{"url":null,"slug":"personality-editing-for-language-models","title":"Personality Editing for Language Models through Relevant Knowledge Editing","date":"2025-02-17","arxiv_id":"2502.11789","repositories_listed":0,"syntology":null},{"url":null,"slug":"memit-merge-addressing-memit-s-key-value","title":"MEMIT-Merge: Addressing MEMIT's Key-Value Conflicts in Same-Subject Batch Editing for LLMs","date":"2025-02-11","arxiv_id":"2502.07322","repositories_listed":0,"syntology":null},{"url":"/paper/anyedit-edit-any-knowledge-encoded-in","slug":"anyedit-edit-any-knowledge-encoded-in","title":"AnyEdit: Edit Any Knowledge Encoded in Language Models","date":"2025-02-08","arxiv_id":"2502.05628","repositories_listed":0,"syntology":null},{"url":null,"slug":"position-editing-large-language-models-poses","title":"Position: Editing Large Language Models Poses Serious Safety Risks","date":"2025-02-05","arxiv_id":"2502.02958","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-editing-for-large-language-model","title":"Knowledge Editing for Large Language Model with Knowledge Neuronal Ensemble","date":"2024-12-30","arxiv_id":"2412.20637","repositories_listed":0,"syntology":null},{"url":null,"slug":"conceptedit-conceptualization-augmented","title":"ConceptEdit: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning","date":"2024-12-16","arxiv_id":"2412.11418","repositories_listed":0,"syntology":null},{"url":null,"slug":"one-mind-many-tongues-a-deep-dive-into","title":"One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models","date":"2024-11-26","arxiv_id":"2411.17401","repositories_listed":0,"syntology":null},{"url":null,"slug":"lifelong-knowledge-editing-for-vision","title":"Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts","date":"2024-11-23","arxiv_id":"2411.15432","repositories_listed":0,"syntology":null},{"url":null,"slug":"visual-oriented-fine-grained-knowledge","title":"Visual-Oriented Fine-Grained Knowledge Editing for MultiModal Large Language Models","date":"2024-11-19","arxiv_id":"2411.12790","repositories_listed":0,"syntology":null},{"url":"/paper/representation-shattering-in-transformers-a","slug":"representation-shattering-in-transformers-a","title":"Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing","date":"2024-10-22","arxiv_id":"2410.17194","repositories_listed":0,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/representation-shattering-in-transformers-a#ran","syntology_url":"https://syntology.ai/paper/2410.17194","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.17194"}},"official":null}},{"url":null,"slug":"ecomedit-an-automated-e-commerce-knowledge","title":"EcomEdit: An Automated E-commerce Knowledge Editing Framework for Enhanced Product and Purchase Intention Understanding","date":"2024-10-18","arxiv_id":"2410.14276","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-we-reverse-in-context-knowledge-edits","title":"Can We Reverse In-Context Knowledge Edits?","date":"2024-10-16","arxiv_id":"2410.12586","repositories_listed":0,"syntology":null},{"url":null,"slug":"mechanistic-unlearning-robust-knowledge","title":"Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization","date":"2024-10-16","arxiv_id":"2410.12949","repositories_listed":0,"syntology":null},{"url":null,"slug":"o-edit-orthogonal-subspace-editing-for","title":"O-Edit: Orthogonal Subspace Editing for Language Model Sequential Editing","date":"2024-10-15","arxiv_id":"2410.11469","repositories_listed":0,"syntology":null},{"url":null,"slug":"keys-to-robust-edits-from-theoretical","title":"Keys to Robust Edits: from Theoretical Insights to Practical Advances","date":"2024-10-12","arxiv_id":"2410.09338","repositories_listed":0,"syntology":null},{"url":null,"slug":"mitigating-gender-bias-in-code-large-language","title":"Mitigating Gender Bias in Code Large Language Models via Model Editing","date":"2024-10-10","arxiv_id":"2410.07820","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncovering-overfitting-in-large-language","title":"Uncovering Overfitting in Large Language Model Editing","date":"2024-10-10","arxiv_id":"2410.07819","repositories_listed":0,"syntology":null},{"url":null,"slug":"locate-then-edit-for-multi-hop-factual-recall","title":"Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing","date":"2024-10-08","arxiv_id":"2410.06331","repositories_listed":0,"syntology":null},{"url":null,"slug":"precision-knowledge-editing-enhancing-safety","title":"Precision Knowledge Editing: Enhancing Safety in Large Language Models","date":"2024-10-02","arxiv_id":"2410.03772","repositories_listed":0,"syntology":null},{"url":null,"slug":"why-has-the-least-side-effect-on-model","title":"\"Why\" Has the Least Side Effect on Model Editing","date":"2024-09-27","arxiv_id":"2409.18679","repositories_listed":0,"syntology":null},{"url":null,"slug":"mqa-keal-multi-hop-question-answering-under","title":"MQA-KEAL: Multi-hop Question Answering under Knowledge Editing for Arabic Language","date":"2024-09-18","arxiv_id":"2409.12257","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-text-to-emoji-how-peft-driven","title":"From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs","date":"2024-09-16","arxiv_id":"2409.10245","repositories_listed":0,"syntology":null},{"url":null,"slug":"struedit-structured-outputs-enable-the-fast","title":"StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models","date":"2024-09-16","arxiv_id":"2409.10132","repositories_listed":0,"syntology":null},{"url":null,"slug":"does-knowledge-localization-hold-true","title":"Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models","date":"2024-09-01","arxiv_id":"2409.00617","repositories_listed":0,"syntology":null},{"url":null,"slug":"llm-based-multi-hop-question-answering-with","title":"LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments","date":"2024-08-28","arxiv_id":"2408.15903","repositories_listed":0,"syntology":null},{"url":null,"slug":"retrieval-augmented-instruction-tuning-for-1","title":"Retrieval-Augmented Instruction Tuning for Automated Process Engineering Calculations : A Tool-Chaining Problem-Solving Framework with Attributable Reflection","date":"2024-08-28","arxiv_id":"2408.15866","repositories_listed":0,"syntology":null},{"url":null,"slug":"relation-also-knows-rethinking-the-recall-and","title":"Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models","date":"2024-08-27","arxiv_id":"2408.15091","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-human-level-understanding-of-complex","title":"Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering","date":"2024-08-24","arxiv_id":"2409.00082","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-multi-hop-reasoning-through","title":"Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing","date":"2024-08-22","arxiv_id":"2408.12456","repositories_listed":0,"syntology":null},{"url":null,"slug":"beneath-the-surface-of-consistency-exploring","title":"Beneath the Surface of Consistency: Exploring Cross-lingual Knowledge Representation Sharing in LLMs","date":"2024-08-20","arxiv_id":"2408.10646","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-mechanics-of-conceptual-interpretation-in","title":"The Mechanics of Conceptual Interpretation in GPT Models: Interpretative Insights","date":"2024-08-05","arxiv_id":"2408.11827","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-multi-hop-knowledge-editing","title":"Cross-Lingual Multi-Hop Knowledge Editing -- Benchmarks, Analysis and a Simple Contrastive Learning based Approach","date":"2024-07-14","arxiv_id":"2407.10275","repositories_listed":0,"syntology":null},{"url":"/paper/why-does-new-knowledge-create-messy-ripple","slug":"why-does-new-knowledge-create-messy-ripple","title":"Why Does New Knowledge Create Messy Ripple Effects in LLMs?","date":"2024-07-02","arxiv_id":"2407.12828","repositories_listed":0,"syntology":{"n":2,"n_ran":0,"n_constructed":0,"n_ran_checked":0,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"0 ran · 2 unverified","sample_list":"/paper/why-does-new-knowledge-create-messy-ripple#ran","syntology_url":"https://syntology.ai/paper/2407.12828","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.12828"}},"official":null}},{"url":null,"slug":"bmike-53-investigating-cross-lingual","title":"BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning","date":"2024-06-25","arxiv_id":"2406.17764","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-well-can-knowledge-edit-methods-edit","title":"How Well Can Knowledge Edit Methods Edit Perplexing Knowledge?","date":"2024-06-25","arxiv_id":"2406.17253","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-do-the-circuits-mean-a-knowledge-edit","title":"Understanding Language Model Circuits through Knowledge Editing","date":"2024-06-25","arxiv_id":"2406.17241","repositories_listed":0,"syntology":null},{"url":null,"slug":"mc-mke-a-fine-grained-multimodal-knowledge","title":"MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency","date":"2024-06-19","arxiv_id":"2406.13219","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-token-biaser-knowledge-editing-via","title":"Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities","date":"2024-06-18","arxiv_id":"2406.12468","repositories_listed":0,"syntology":null},{"url":null,"slug":"retrieval-meets-reasoning-dynamic-in-context","title":"Retrieval Meets Reasoning: Dynamic In-Context Editing for Long-Text Understanding","date":"2024-06-18","arxiv_id":"2406.12331","repositories_listed":0,"syntology":null},{"url":null,"slug":"breaking-boundaries-investigating-the-effects","title":"Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance","date":"2024-06-17","arxiv_id":"2406.11139","repositories_listed":0,"syntology":null},{"url":null,"slug":"memla-enhancing-multilingual-knowledge","title":"MEMLA: Enhancing Multilingual Knowledge Editing with Neuron-Masked Low-Rank Adaptation","date":"2024-06-17","arxiv_id":"2406.11566","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-editing-in-language-models-via","title":"Knowledge Editing in Language Models via Adapted Direct Preference Optimization","date":"2024-06-14","arxiv_id":"2406.09920","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-logical-rules-in-knowledge-editing","title":"Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top","date":"2024-05-24","arxiv_id":"2405.15452","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-bias-mitigation-from-the","title":"Large Language Model Bias Mitigation from the Perspective of Knowledge Editing","date":"2024-05-15","arxiv_id":"2405.09341","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-edited-knowledge-in-language-models","title":"Detecting Edited Knowledge in Language Models","date":"2024-05-04","arxiv_id":"2405.02765","repositories_listed":0,"syntology":null},{"url":null,"slug":"dialectical-alignment-resolving-the-tension","title":"Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs","date":"2024-03-30","arxiv_id":"2404.00486","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-factuality-decoding-a-free-lunch-for-llms","title":"Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness","date":"2024-03-30","arxiv_id":"2404.00216","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-hop-question-answering-under-temporal","title":"Multi-hop Question Answering under Temporal Knowledge Editing","date":"2024-03-30","arxiv_id":"2404.00492","repositories_listed":0,"syntology":null},{"url":null,"slug":"llms-instruct-llms-an-extraction-and-editing","title":"General LLMs as Instructors for Domain-Specific LLMs: A Sequential Fusion Method to Integrate Extraction and Editing","date":"2024-03-23","arxiv_id":"2403.15736","repositories_listed":0,"syntology":null},{"url":null,"slug":"editing-knowledge-representation-of-language","title":"Editing Knowledge Representation of Language Model via Rephrased Prefix Prompts","date":"2024-03-21","arxiv_id":"2403.14381","repositories_listed":0,"syntology":null},{"url":null,"slug":"locating-and-mitigating-gender-bias-in-large","title":"Locating and Mitigating Gender Bias in Large Language Models","date":"2024-03-21","arxiv_id":"2403.14409","repositories_listed":0,"syntology":null},{"url":null,"slug":"mike-a-new-benchmark-for-fine-grained","title":"MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing","date":"2024-02-18","arxiv_id":"2402.14835","repositories_listed":0,"syntology":null},{"url":null,"slug":"evedit-event-based-knowledge-editing-with","title":"EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries","date":"2024-02-17","arxiv_id":"2402.11324","repositories_listed":0,"syntology":null},{"url":null,"slug":"propagation-and-pitfalls-reasoning-based","title":"Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks","date":"2024-01-31","arxiv_id":"2401.17585","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-perplexity-for-controlled","title":"Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models","date":"2024-01-16","arxiv_id":"2401.08491","repositories_listed":0,"syntology":null},{"url":null,"slug":"see-the-unseen-better-context-consistent","title":"See the Unseen: Better Context-Consistent Knowledge-Editing by Noises","date":"2024-01-15","arxiv_id":"2401.07544","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-knowledge-model-perspectives-and","title":"Large Knowledge Model: Perspectives and Challenges","date":"2023-12-05","arxiv_id":"2312.02706","repositories_listed":0,"syntology":null},{"url":null,"slug":"trends-in-integration-of-knowledge-and-large","title":"Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications","date":"2023-11-10","arxiv_id":"2311.05876","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-knowledge-editing-of-neural","title":"A Survey on Knowledge Editing of Neural Networks","date":"2023-10-30","arxiv_id":"2310.19704","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-editing-for-large-language-models-a","title":"Knowledge Editing for Large Language Models: A Survey","date":"2023-10-24","arxiv_id":"2310.16218","repositories_listed":0,"syntology":null},{"url":null,"slug":"eva-kellm-a-new-benchmark-for-evaluating","title":"Eva-KELLM: A New Benchmark for Evaluating Knowledge Editing of LLMs","date":"2023-08-19","arxiv_id":"2308.09954","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-knowledge-editing-in-federated-learning","title":"On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions","date":"2023-06-02","arxiv_id":"2306.01431","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-information-update-for-large-language","title":"Information Association for Language Model Updating by Mitigating LM-Logical Discrepancy","date":"2023-05-29","arxiv_id":"2305.18582","repositories_listed":0,"syntology":null},{"url":null,"slug":"moving-the-eiffel-tower-to-rome-tracing-and","title":"Moving the Eiffel Tower to ROME: Tracing and Editing Facts in GPT","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-similarity-measures-applied-to-an","title":"Semantic Similarity Measures Applied to an Ontology for Human-Like Interaction","date":"2014-01-18","arxiv_id":"1401.4603","repositories_listed":0,"syntology":null}],"record_sha256":"5e2aaac459a48b8022ecc19ef8d3056a5cba541d66191b52afb56ee4ec6d3aec","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}