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Locating and Editing Factual Associations in GPT
v1v2v3v4v5 (latest)

Locating and Editing Factual Associations in GPT

Neural Information Processing Systems (NeurIPS), 2022
10 February 2022
Kevin Meng
David Bau
A. Andonian
Yonatan Belinkov
    KELM
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "Locating and Editing Factual Associations in GPT"

50 / 1,361 papers shown
Learning without training: The implicit dynamics of in-context learning
Learning without training: The implicit dynamics of in-context learning
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Michael Munn
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547
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RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning
RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning
Guoshenghui Zhao
Huawei Lin
Weijie Zhao
MU
173
0
0
04 Dec 2025
EtCon: Edit-then-Consolidate for Reliable Knowledge Editing
EtCon: Edit-then-Consolidate for Reliable Knowledge Editing
Ruilin Li
Yibin Wang
Wenhong Zhu
Chenglin Li
J. Zhang
Chenliang Li
Junchi Yan
Jiaqi Wang
KELM
95
0
0
04 Dec 2025
EvoEdit: Lifelong Free-Text Knowledge Editing through Latent Perturbation Augmentation and Knowledge-driven Parameter Fusion
EvoEdit: Lifelong Free-Text Knowledge Editing through Latent Perturbation Augmentation and Knowledge-driven Parameter Fusion
Pengfei Cao
Zeao Ji
Daojian Zeng
Jun Zhao
Kang Liu
KELM
334
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0
04 Dec 2025
Too Late to Recall: Explaining the Two-Hop Problem in Multimodal Knowledge Retrieval
Too Late to Recall: Explaining the Two-Hop Problem in Multimodal Knowledge Retrieval
Constantin Venhoff
Ashkan Khakzar
Sonia Joseph
Philip Torr
Neel Nanda
50
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Latent Debate: A Surrogate Framework for Interpreting LLM Thinking
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Xiang Yin
Francesca Toni
LRM
178
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01 Dec 2025
Hybrid-DMKG: A Hybrid Reasoning Framework over Dynamic Multimodal Knowledge Graphs for Multimodal Multihop QA with Knowledge Editing
Hybrid-DMKG: A Hybrid Reasoning Framework over Dynamic Multimodal Knowledge Graphs for Multimodal Multihop QA with Knowledge Editing
Li Yuan
Qingfei Huang
Bingshan Zhu
Yi Cai
Qingbao Huang
Changmeng Zheng
Zikun Deng
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KELM
239
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Mechanistic Interpretability for Transformer-based Time Series Classification
Mechanistic Interpretability for Transformer-based Time Series Classification
Matīss Kalnāre
Sofoklis Kitharidis
Thomas Bäck
Niki van Stein
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26 Nov 2025
Representation Interventions Enable Lifelong Unstructured Knowledge Control
Representation Interventions Enable Lifelong Unstructured Knowledge Control
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Zhengzhang Chen
Xinshuai Dong
Yanchi Liu
Xujiang Zhao
Shengyu Chen
Haoyu Wang
Yujun Yan
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160
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25 Nov 2025
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Emergence and Localisation of Semantic Role Circuits in LLMs
Emergence and Localisation of Semantic Role Circuits in LLMs
Nura Aljaafari
Danilo S. Carvalho
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Physics Steering: Causal Control of Cross-Domain Concepts in a Physics Foundation Model
Physics Steering: Causal Control of Cross-Domain Concepts in a Physics Foundation Model
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Payel Mukhopadhyay
Michael McCabe
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M. Cranmer
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482
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Ziyang Gong
Hehai Lin
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236
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Dissecting the Ledger: Locating and Suppressing "Liar Circuits" in Financial Large Language Models
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174
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No Free Lunch in Language Model Bias Mitigation? Targeted Bias Reduction Can Exacerbate Unmitigated LLM Biases
No Free Lunch in Language Model Bias Mitigation? Targeted Bias Reduction Can Exacerbate Unmitigated LLM Biases
Shireen Chand
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110
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141
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Éloïse Benito-Rodriguez
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96
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An Efficient LLM-based Evolutional Recommendation with Locate-Forget-Update Paradigm
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Min Hou
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Sandro Andric
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Erase to Retain: Low Rank Adaptation Guided Selective Unlearning in Medical Segmentation Networks
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From Passive to Persuasive: Steering Emotional Nuance in Human-AI Negotiation
From Passive to Persuasive: Steering Emotional Nuance in Human-AI Negotiation
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Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing
Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing
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Catastrophic Forgetting in Kolmogorov-Arnold Networks
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A Multifaceted Analysis of Negative Bias in Large Language Models through the Lens of Parametric Knowledge
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Training Language Models to Explain Their Own Computations
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You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations
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Can Fine-Tuning Erase Your Edits? On the Fragile Coexistence of Knowledge Editing and Adaptation
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