Cover Image

AKEW: Assessing Knowledge Editing in the Wild

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Xiaobao, Pan, Liangming, Wang, William Yang, Luu, Anh Tuan
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion
by: Wu, Xiaobao, et al.
Published: (2024)

Unsupervised Hallucination Detection by Inspecting Reasoning Processes
by: Srey, Ponhvoan, et al.
Published: (2025)

Towards the TopMost: A Topic Modeling System Toolkit
by: Wu, Xiaobao, et al.
Published: (2023)

A Survey on Neural Topic Models: Methods, Applications, and Challenges
by: Wu, Xiaobao, et al.
Published: (2024)

FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
by: Wu, Xiaobao, et al.
Published: (2024)

Towards Reliable Truth-Aligned Uncertainty Estimation in Large Language Models
by: Srey, Ponhvoan, et al.
Published: (2026)

Learning Uncertainty from Sequential Internal Dispersion in Large Language Models
by: Srey, Ponhvoan, et al.
Published: (2026)

The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
by: Zhang, Shuo, et al.
Published: (2023)

Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation
by: Feng, Yichao, et al.
Published: (2025)

Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation
by: Zhao, Shuai, et al.
Published: (2024)

RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios
by: Zhou, Ruiwen, et al.
Published: (2024)

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
by: Amayuelas, Alfonso, et al.
Published: (2023)

Breaking PEFT Limitations: Leveraging Weak-to-Strong Knowledge Transfer for Backdoor Attacks in LLMs
by: Zhao, Shuai, et al.
Published: (2024)

P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs
by: Zhao, Shuai, et al.
Published: (2025)

InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling
by: Wu, Xiaobao, et al.
Published: (2023)

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search
by: Luo, Haoran, et al.
Published: (2025)

Who's Who: Large Language Models Meet Knowledge Conflicts in Practice
by: Pham, Quang Hieu, et al.
Published: (2024)

A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
by: Zhao, Shuai, et al.
Published: (2024)

Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
by: Zhao, Shuai, et al.
Published: (2024)

Investigating the Transferability of Code Repair for Low-Resource Programming Languages
by: Wong, Kyle, et al.
Published: (2024)

Are LLMs Good Zero-Shot Fallacy Classifiers?
by: Pan, Fengjun, et al.
Published: (2024)

Read as You See: Guiding Unimodal LLMs for Low-Resource Explainable Harmful Meme Detection
by: Pan, Fengjun, et al.
Published: (2025)

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
by: Zhao, Shuai, et al.
Published: (2023)

KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning
by: Nguyen, Cong-Duy, et al.
Published: (2024)

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge
by: Wu, Xiaobao, et al.
Published: (2024)

Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement
by: Xu, Wenda, et al.
Published: (2024)

Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration
by: Mao, Xin, et al.
Published: (2024)

ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions
by: Van Long, Phuoc Pham, et al.
Published: (2023)

Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity
by: Zhao, Shuai, et al.
Published: (2025)

SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia
by: Liu, Chaoqun, et al.
Published: (2025)

WildSci: Advancing Scientific Reasoning from In-the-Wild Literature
by: Liu, Tengxiao, et al.
Published: (2026)

MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate
by: Amayuelas, Alfonso, et al.
Published: (2024)

How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark
by: Yang, Minglai, et al.
Published: (2025)

Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
by: Chen, Jianhui, et al.
Published: (2026)

Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
by: Wang, Xinyi, et al.
Published: (2024)

Atomic Skills are the Prerequisite: When Reinforcement Learning Synthesizes Compositional Reasoning, and When It Only Amplifies
by: Cheng, Sitao, et al.
Published: (2025)

Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction
by: Luo, Haoran, et al.
Published: (2023)

Opening the Black Box: A Survey on the Mechanisms of Multi-Step Reasoning in Large Language Models
by: Pan, Liangming, et al.
Published: (2026)

Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization
by: Xu, Huimin, et al.
Published: (2026)

Event-level Knowledge Editing
by: Peng, Hao, et al.
Published: (2024)