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Model Editing
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
MEGen: Generative Backdoor in Large Language Models via Model Editing
Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit
Resolving Lexical Bias in Edit Scoping with Projector Editor Networks
ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models
The Mechanics of Conceptual Interpretation in GPT Models: Interpretative Insights
Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
Can Editing LLMs Inject Harm?
Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
Model editing for distribution shifts in uranium oxide morphological analysis
Cross-Lingual Multi-Hop Knowledge Editing -- Benchmarks, Analysis and a Simple Contrastive Learning based Approach
Mitigating Backdoor Attacks using Activation-Guided Model Editing
Composable Interventions for Language Models
CodeUpdateArena: Benchmarking Knowledge Editing on API Updates
Why Does New Knowledge Create Messy Ripple Effects in LLMs?
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models
Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs?
Understanding Language Model Circuits through Knowledge Editing
How Well Can Knowledge Edit Methods Edit Perplexing Knowledge?
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning
Sequential Editing for Lifelong Training of Speech Recognition Models
Multilingual Knowledge Editing with Language-Agnostic Factual Neurons
MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency
Retrieval Meets Reasoning: Dynamic In-Context Editing for Long-Text Understanding
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities
Stealth edits to large language models
Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance
In-Context Editing: Learning Knowledge from Self-Induced Distributions
Understanding the Collapse of LLMs in Model Editing
MEMLA: Enhancing Multilingual Knowledge Editing with Neuron-Masked Low-Rank Adaptation
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning
Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts
DIEKAE: Difference Injection for Efficient Knowledge Augmentation and Editing of Large Language Models
Knowledge Editing in Language Models via Adapted Direct Preference Optimization
REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.