← Core AI
Artificial Intelligence › Core AI ›

Knowledge Editing

180 directly classified papers

Papers per year

Papers

Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness EMNLP 2023
Commonsense Knowledge Transfer for Pre-trained Language Models ACL 2023
DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function ACL 2023
OW-DETR: Open-World Detection Transformer CVPR 2022
LM-Debugger: An Interactive Tool for Inspection and Intervention in Transformer-Based Language Models EMNLP 2022
Entity Cloze By Date: What LMs Know About Unseen Entities NAACL 2022
Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection COLING 2022
Calibrating Factual Knowledge in Pretrained Language Models EMNLP 2022
Knowledge Neurons in Pretrained Transformers ACL 2022
Plug-and-Play Adaptation for Continuously-updated QA ACL 2022
Extracting Latent Steering Vectors from Pretrained Language Models ACL 2022
Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge EMNLP 2022
CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding EMNLP 2022
Authorship Verification for Arabic Short Texts Using Arabic Knowledge-Base Model (AraKB) EMNLP 2022
Learning Network Architecture for Open-Set Recognition AAAI 2022
Knowledge Graph Generation From Text EMNLP 2022
Do Children Texts Hold The Key To Commonsense Knowledge? EMNLP 2022
Knowledge Informed Semantic Parsing for Conversational Question Answering IJCNLP 2021
Employing Argumentation Knowledge Graphs for Neural Argument Generation ACL 2021
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network ACL 2021
Editing Factual Knowledge in Language Models EMNLP 2021
Named Entity Recognition and Linking Augmented with Large-Scale Structured Data EACL 2021
KoBE: Knowledge-Based Machine Translation Evaluation EMNLP 2020
Overcoming Multi-model Forgetting ICML 2019
Incorporating External Knowledge into Machine Reading for Generative Question Answering IJCNLP 2019