Official code repo for "Editing Implicit Assumptions in Text-to-Image Diffusion Models"
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Mar 15, 2023 - Python
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Official code repo for "Editing Implicit Assumptions in Text-to-Image Diffusion Models"
EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.
Stable Knowledge Editing in Large Language Models
Official codes for COLING 2024 paper "Robust and Scalable Model Editing for Large Language Models": https://arxiv.org/abs/2403.17431v1
[ICLR 2024] Unveiling the Pitfalls of Knowledge Editing for Large Language Models
An Automated Framework to Construct Datasets for Assessing Knowledge Editing or Multi-Hop Reasoning Capability of Language Models.
Official implementation for Zhong & Le et al., GNNs Also Deserve Editing, and They Need It More Than Once. ICML 2024
[ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing
OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System.
Code and dataset for the paper: "Can Editing LLMs Inject Harm?"
COLING 2025: MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models
[EMNLP 2024] To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
EMNLP2024 - AKEW: Assessing Knowledge Editing in the Wild
[ACL 2024] An Easy-to-use Hallucination Detection Framework for LLMs.
[ACL 2025 Findings] Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs
[ACL 2025] Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms
[AAAI 2026] ReCode: Reinforced Code Knowledge Editing for API Updates
Must-read Papers on Knowledge Editing for Large Language Models.
[ACL 2025] How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
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