Image de couverture de livre

OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Ningyu, Xi, Zekun, Luo, Yujie, Wang, Peng, Tian, Bozhong, Yao, Yunzhi, Zhang, Jintian, Deng, Shumin, Sun, Mengshu, Liang, Lei, Zhang, Zhiqiang, Zhu, Xiaowei, Zhou, Jun, Chen, Huajun
Format:	Preprint
Publié:	2024
Sujets:	Artificial Intelligence Computation and Language Databases Information Retrieval Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Editing Conceptual Knowledge for Large Language Models
par: Wang, Xiaohan, et autres
Publié: (2024)

OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
par: Zhang, Jintian, et autres
Publié: (2024)

LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
par: Zhu, Yuqi, et autres
Publié: (2023)

OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System
par: Luo, Yujie, et autres
Publié: (2024)

Knowledge Circuits in Pretrained Transformers
par: Yao, Yunzhi, et autres
Publié: (2024)

EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
par: Wang, Peng, et autres
Publié: (2023)

CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners
par: Yao, Yunzhi, et autres
Publié: (2025)

CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs
par: Fang, Jizhan, et autres
Publié: (2024)

IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus
par: Gui, Honghao, et autres
Publié: (2024)

Unveiling the Pitfalls of Knowledge Editing for Large Language Models
par: Li, Zhoubo, et autres
Publié: (2023)

From Data to Behavior: Predicting Unintended Model Behaviors Before Training
par: Wang, Mengru, et autres
Publié: (2026)

LightThinker: Thinking Step-by-Step Compression
par: Zhang, Jintian, et autres
Publié: (2025)

GEM: A Native Graph-based Index for Multi-Vector Retrieval
par: Tian, Yao, et autres
Publié: (2026)

OrchANN: A Unified I/O Orchestration Framework for Skewed Out-of-Core Vector Search
par: Huan, Chengying, et autres
Publié: (2025)

Detoxifying Large Language Models via Knowledge Editing
par: Wang, Mengru, et autres
Publié: (2024)

RouterKGQA: Specialized--General Model Routing for Constraint-Aware Knowledge Graph Question Answering
par: Yuan, Bo, et autres
Publié: (2026)

WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
par: Wang, Peng, et autres
Publié: (2024)

ADS-Edit: A Multimodal Knowledge Editing Dataset for Autonomous Driving Systems
par: Wang, Chenxi, et autres
Publié: (2025)

Efficient Search in Graph Edit Distance: Metric Search Trees vs. Brute Force Verification
par: Guo, Wenqi Marshall, et autres
Publié: (2024)

InstructIE: A Bilingual Instruction-based Information Extraction Dataset
par: Gui, Honghao, et autres
Publié: (2023)

InstructEdit: Instruction-based Knowledge Editing for Large Language Models
par: Zhang, Ningyu, et autres
Publié: (2024)

ReCode: Updating Code API Knowledge with Reinforcement Learning
par: Wu, Haoze, et autres
Publié: (2025)

BubbleRAG: Evidence-Driven Retrieval-Augmented Generation for Black-Box Knowledge Graphs
par: Pan, Duyi, et autres
Publié: (2026)

A Comprehensive Study of Knowledge Editing for Large Language Models
par: Zhang, Ningyu, et autres
Publié: (2024)

Continual Multimodal Knowledge Graph Construction
par: Chen, Xiang, et autres
Publié: (2023)

GRAB-ANNS: High-Throughput Indexing and Hybrid Search via GPU-Native Bucketing
par: Zhao, Xinkui, et autres
Publié: (2026)

Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion
par: Zhang, Jiasheng, et autres
Publié: (2024)

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark
par: Liu, Kangwei, et autres
Publié: (2025)

Neural Locality Sensitive Hashing for Entity Blocking
par: Wang, Runhui, et autres
Publié: (2024)

Data-Aware Socratic Query Refinement in Database Systems
par: Zhang, Ruiyuan, et autres
Publié: (2025)

Exploring the Meaningfulness of Nearest Neighbor Search in High-Dimensional Space
par: Chen, Zhonghan, et autres
Publié: (2024)

PentaRAG: Large-Scale Intelligent Knowledge Retrieval for Enterprise LLM Applications
par: Syarubany, Abu Hanif Muhammad, et autres
Publié: (2025)

MetaHive: A Cache-Optimized Metadata Management for Heterogeneous Key-Value Stores
par: Heidari, Alireza, et autres
Publié: (2024)

HyEm: Query-Adaptive Hyperbolic Retrieval for Biomedical Ontologies via Euclidean Vector Indexing
par: Deng, Ou, et autres
Publié: (2026)

A Hypergraph-Based Framework for Exploratory Business Intelligence
par: Lou, Yunkai, et autres
Publié: (2026)

Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study
par: Li, Mocheng, et autres
Publié: (2025)

FusionANNS: An Efficient CPU/GPU Cooperative Processing Architecture for Billion-scale Approximate Nearest Neighbor Search
par: Tian, Bing, et autres
Publié: (2024)

OpenZL: A Graph-Based Model for Compression
par: Collet, Yann, et autres
Publié: (2025)

OpenZL: Using Graphs to Compress Smaller and Faster
par: Collet, Yann, et autres
Publié: (2026)

Towards A Unified View of Answer Calibration for Multi-Step Reasoning
par: Deng, Shumin, et autres
Publié: (2023)