[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

Must-read Papers on Knowledge Editing for Large Language Models.

Decomposing and Editing Predictions by Modeling Model Computation

[NeurIPS 2024] Knowledge Circuits in Pretrained Transformers

AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.

Continual Forgetting for Pre-trained Vision Models (CVPR 2024)

Representation Surgery for Multi-Task Model Merging. ICML, 2024.

Code for "Learning to Edit: Aligning LLMs with Knowledge Editing (ACL 2024)"

Dataset for Unified Editing, EMNLP 2023. This is a model editing dataset where edits are natural language phrases.

[ICLR 2024] Unveiling the Pitfalls of Knowledge Editing for Large Language Models

[EMNLP 2024 Findings] To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models

[ACL 2024] An Easy-to-use Hallucination Detection Framework for LLMs.

OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System.

Official codes for COLING 2024 paper "Robust and Scalable Model Editing for Large Language Models": https://arxiv.org/abs/2403.17431v1

Official implementation for Zhong & Le et al., GNNs Also Deserve Editing, and They Need It More Than Once. ICML 2024

Debiasing Stereotyped Language Models via Model Editing

A list of awesome resources related to constraint learning

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