Cover Image

Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hua, Wenyue, Guo, Jiang, Dong, Mingwen, Zhu, Henghui, Ng, Patrick, Wang, Zhiguo
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable Queries
by: Dong, Mingwen, et al.
Published: (2024)

ChainEdit: Propagating Ripple Effects in LLM Knowledge Editing through Logical Rule-Guided Chains
by: Dong, Zilu, et al.
Published: (2025)

Segmenting Human-LLM Co-authored Text via Change Point Detection
by: Li, Mengchu, et al.
Published: (2026)

Human-AI Co-design for Clinical Prediction Models
by: Feng, Jean, et al.
Published: (2026)

Evaluating Interventional Reasoning Capabilities of Large Language Models
by: Kasetty, Tejas, et al.
Published: (2024)

Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning
by: Yu, Xiangning, et al.
Published: (2025)

Partial Identification Approach to Counterfactual Fairness Assessment
by: Rho, Saeyoung, et al.
Published: (2025)

Recover Experimental Data with Selection Bias using Counterfactual Logic
by: He, Jingyang, et al.
Published: (2025)

Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning
by: Cai, Hengrui, et al.
Published: (2023)

Towards a Holistic Evaluation of LLMs on Factual Knowledge Recall
by: Yuan, Jiaqing, et al.
Published: (2024)

Generative Synthetic Data for Causal Inference: Pitfalls, Remedies, and Opportunities
by: Xu, Yichen
Published: (2026)

Industrial-Grade Smart Troubleshooting through Causal Technical Language Processing: a Proof of Concept
by: Trilla, Alexandre, et al.
Published: (2024)

The Digital Twin Counterfactual Framework: A Validation Architecture for Simulated Potential Outcomes
by: Laudy, Olav
Published: (2026)

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics
by: Riegler, Michael A., et al.
Published: (2025)

Counterfactual Reasoning with Knowledge Graph Embeddings
by: Zellinger, Lena, et al.
Published: (2024)

Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing
by: Wang, Changyue, et al.
Published: (2025)

Counterfactual Probabilistic Diffusion with Expert Models
by: Mu, Wenhao, et al.
Published: (2025)

Flexible Counterfactual Explanations with Generative Models
by: Hellemans, Stig, et al.
Published: (2025)

Unveiling the Pitfalls of Knowledge Editing for Large Language Models
by: Li, Zhoubo, et al.
Published: (2023)

The Impact of Reasoning Step Length on Large Language Models
by: Jin, Mingyu, et al.
Published: (2024)

Probabilistically Plausible Counterfactual Explanations with Normalizing Flows
by: Wielopolski, Patryk, et al.
Published: (2024)

Industrial-Grade Time-Dependent Counterfactual Root Cause Analysis through the Unanticipated Point of Incipient Failure: a Proof of Concept
by: Trilla, Alexandre, et al.
Published: (2024)

Generally-Occurring Model Change for Robust Counterfactual Explanations
by: Xu, Ao, et al.
Published: (2024)

Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
by: Li, He, et al.
Published: (2025)

FACEGroup: Feasible and Actionable Counterfactual Explanations for Group Fairness
by: Fragkathoulas, Christos, et al.
Published: (2024)

Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet
by: Zhao, James Xu, et al.
Published: (2025)

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks
by: Wu, Zhaofeng, et al.
Published: (2023)

Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models
by: Lewis, Martha, et al.
Published: (2024)

Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery
by: Ng, Woon Yee, et al.
Published: (2025)

Joint Distribution-Informed Shapley Values for Sparse Counterfactual Explanations
by: You, Lei, et al.
Published: (2024)

The Logic of Counterfactuals and the Epistemology of Causal Inference
by: Lin, Hanti
Published: (2024)

CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations
by: Motzkus, Franz, et al.
Published: (2024)

Outdated Issue Aware Decoding for Reasoning Questions on Edited Knowledge
by: Sun, Zengkui, et al.
Published: (2024)

Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents
by: Li, Zelong, et al.
Published: (2024)

Relative Counterfactual Contrastive Learning for Mitigating Pretrained Stance Bias in Stance Detection
by: Zhang, Jiarui, et al.
Published: (2024)

ProCause: Generating Counterfactual Outcomes to Evaluate Prescriptive Process Monitoring Methods
by: De Moor, Jakob, et al.
Published: (2025)

Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels
by: Furman, Oleksii, et al.
Published: (2024)

Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models
by: Komanduri, Aneesh, et al.
Published: (2024)

Tracking the Limits of Knowledge Propagation: How LLMs Fail at Multi-Step Reasoning with Conflicting Knowledge
by: Feng, Yiyang, et al.
Published: (2026)

Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality
by: Li, Jiangmeng, et al.
Published: (2024)