Cover Image

Knowledge Editing for Large Language Model with Knowledge Neuronal Ensemble

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yongchang, Zhu, Yujin, Yan, Tao, Fan, Shijian, Wu, Gang, Xu, Liang
Format:	Preprint
Published:	2024
Subjects:	Computation and Language 68T50
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Privileged Students: On the Value of Initialization in Multilingual Knowledge Distillation
by: Wibowo, Haryo Akbarianto, et al.
Published: (2024)

Raw Text is All you Need: Knowledge-intensive Multi-turn Instruction Tuning for Large Language Model
by: Hou, Xia, et al.
Published: (2024)

Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models
by: Land, Sander, et al.
Published: (2024)

A Survey on Hypothesis Generation for Scientific Discovery in the Era of Large Language Models
by: Alkan, Atilla Kaan, et al.
Published: (2025)

Healthy LLMs? Benchmarking LLM Knowledge of UK Government Public Health Information
by: Harris, Joshua, et al.
Published: (2025)

KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation
by: Xu, Weijie, et al.
Published: (2023)

DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models
by: Marjanović, Sara Vera, et al.
Published: (2024)

HInter: Exposing Hidden Intersectional Bias in Large Language Models
by: Souani, Badr, et al.
Published: (2025)

Towards Effective and Efficient Continual Pre-training of Large Language Models
by: Chen, Jie, et al.
Published: (2024)

Evaluating Large Language Models for Public Health Classification and Extraction Tasks
by: Harris, Joshua, et al.
Published: (2024)

A Primer on Large Language Models and their Limitations
by: Johnson, Sandra, et al.
Published: (2024)

Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing
by: Wang, Zhilin, et al.
Published: (2025)

Knesset-DictaBERT: A Hebrew Language Model for Parliamentary Proceedings
by: Goldin, Gili, et al.
Published: (2024)

BayesRAG: Probabilistic Mutual Evidence Corroboration for Multimodal Retrieval-Augmented Generation
by: Li, Xuan, et al.
Published: (2026)

Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods
by: Yu, Haeun, et al.
Published: (2024)

Optimization Strategies for Enhancing Resource Efficiency in Transformers & Large Language Models
by: Wallace, Tom, et al.
Published: (2025)

An Unforgeable Publicly Verifiable Watermark for Large Language Models
by: Liu, Aiwei, et al.
Published: (2023)

Sparse Autoencoders Can Capture Language-Specific Concepts Across Diverse Languages
by: Andrylie, Lyzander Marciano, et al.
Published: (2025)

Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models
by: Truong, Sang T., et al.
Published: (2024)

LangMARL: Natural Language Multi-Agent Reinforcement Learning
by: Yao, Huaiyuan, et al.
Published: (2026)

Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?
by: Pan, Leyi, et al.
Published: (2025)

Review GIDE -- Restaurant Review Gastrointestinal Illness Detection and Extraction with Large Language Models
by: Laurence, Timothy, et al.
Published: (2025)

Curriculum Recommendations Using Transformer Base Model with InfoNCE Loss And Language Switching Method
by: Xu, Xiaonan, et al.
Published: (2024)

A Survey of Text Watermarking in the Era of Large Language Models
by: Liu, Aiwei, et al.
Published: (2023)

The Superalignment of Superhuman Intelligence with Large Language Models
by: Huang, Minlie, et al.
Published: (2024)

Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Models
by: Pan, Leyi, et al.
Published: (2025)

Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
by: Seo, Yeongbin, et al.
Published: (2024)

A Language Model-Driven Semi-Supervised Ensemble Framework for Illicit Market Detection Across Deep/Dark Web and Social Platforms
by: Yazdanjue, Navid, et al.
Published: (2025)

COPAL-ID: Indonesian Language Reasoning with Local Culture and Nuances
by: Wibowo, Haryo Akbarianto, et al.
Published: (2023)

Cache-to-Cache: Direct Semantic Communication Between Large Language Models
by: Fu, Tianyu, et al.
Published: (2025)

The Paradox of Poetic Intent in Back-Translation: Evaluating the Quality of Large Language Models in Chinese Translation
by: Weigang, Li, et al.
Published: (2025)

Exploring State Tracking Capabilities of Large Language Models
by: Rezaee, Kiamehr, et al.
Published: (2025)

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
by: Fang, Xi, et al.
Published: (2024)

Distilling Large Language Models for Efficient Clinical Information Extraction
by: Vedula, Karthik S., et al.
Published: (2024)

NurValues: Real-World Nursing Values Evaluation for Large Language Models in Clinical Context
by: Yao, Ben, et al.
Published: (2025)

Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation
by: Bayram, M. Ali, et al.
Published: (2024)

MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
by: Ren, Pengjie, et al.
Published: (2024)

Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models
by: Park, Seungcheol, et al.
Published: (2025)

Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information
by: Park, Seungcheol, et al.
Published: (2025)

Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation
by: Liu, Aiwei, et al.
Published: (2024)