Cover Image

RePAIR: Interactive Machine Unlearning through Prompt-Aware Model Repair

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rachapudi, Jagadeesh, Singh, Pranav, Vatsi, Ritali, Hambarde, Praful, Shukla, Amit
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BID-LoRA: A Parameter-Efficient Framework for Continual Learning and Unlearning
by: Rachapudi, Jagadeesh, et al.
Published: (2026)

BackFlush: Knowledge-Free Backdoor Detection and Elimination with Watermark Preservation in Large Language Models
by: Rachapudi, Jagadeesh, et al.
Published: (2026)

SeDT: Sentence-Transformer Decision-Transformer Conditioning for Multi-Turn Conversation Reliability
by: Setti, Ramakrishna Vamsi, et al.
Published: (2026)

Improvise, Adapt, Overcome -- Telescopic Adapters for Efficient Fine-tuning of Vision Language Models in Medical Imaging
by: Mishra, Ujjwal, et al.
Published: (2025)

GRAD-Former: Gated Robust Attention-based Differential Transformer for Change Detection
by: Ameta, Durgesh, et al.
Published: (2026)

Mitigating Social Biases in Language Models through Unlearning
by: Dige, Omkar, et al.
Published: (2024)

Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning
by: Zhao, Yang, et al.
Published: (2024)

Machine Unlearning in Large Language Models
by: Gundavarapu, Saaketh Koundinya, et al.
Published: (2024)

Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models
by: Shukla, Divyaksh, et al.
Published: (2026)

MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering
by: Hao, Yuexing, et al.
Published: (2025)

CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept
by: Wu, YuXuan, et al.
Published: (2024)

Soft Prompting for Unlearning in Large Language Models
by: Bhaila, Karuna, et al.
Published: (2024)

Consistency-Aware Editing for Entity-level Unlearning in Language Models
by: Han, Xiaoqi, et al.
Published: (2025)

MUSE: Machine Unlearning Six-Way Evaluation for Language Models
by: Shi, Weijia, et al.
Published: (2024)

Supernova Event Dataset: Interpreting Large Language Models' Personality through Critical Event Analysis
by: Agarwal, Pranav, et al.
Published: (2025)

Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models
by: Wang, Lingzhi, et al.
Published: (2024)

A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models
by: Geng, Jiahui, et al.
Published: (2025)

Large Language Model Unlearning via Embedding-Corrupted Prompts
by: Liu, Chris Yuhao, et al.
Published: (2024)

MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models
by: Huo, Jiahao, et al.
Published: (2025)

ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports
by: Hardy, Romain, et al.
Published: (2024)

On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models
by: Verma, Mudit, et al.
Published: (2024)

IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models
by: Imtiaz, Sayem Mohammad, et al.
Published: (2025)

PromptWizard: Task-Aware Prompt Optimization Framework
by: Agarwal, Eshaan, et al.
Published: (2024)

Human-1 by Josh Talks: A Full-Duplex Conversational Modeling Framework in Hindi using Real-World Conversations
by: Singh, Bhaskar, et al.
Published: (2026)

A Closer Look at Machine Unlearning for Large Language Models
by: Yuan, Xiaojian, et al.
Published: (2024)

A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty
by: Feng, Xiaohua, et al.
Published: (2025)

EvoMU: Evolutionary Machine Unlearning
by: Batorski, Pawel, et al.
Published: (2026)

RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
by: Chen, Weizhe, et al.
Published: (2024)

SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs
by: Jayasuriya, Dinithi, et al.
Published: (2025)

Deep Contrastive Unlearning for Language Models
by: He, Estrid, et al.
Published: (2025)

Speak or Stay Silent: Context-Aware Turn-Taking in Multi-Party Dialogue
by: Bhagtani, Kratika, et al.
Published: (2026)

A Comprehensive Evaluation of LLM Unlearning Robustness under Multi-Turn Interaction
by: Pan, Ruihao, et al.
Published: (2026)

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting
by: Wijesiriwardene, Thilini, et al.
Published: (2024)

RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2026)

Does Machine Unlearning Truly Remove Knowledge?
by: Chen, Haokun, et al.
Published: (2025)

Machine Unlearning in Generative AI: A Survey
by: Liu, Zheyuan, et al.
Published: (2024)

Understanding the Dilemma of Unlearning for Large Language Models
by: Zhang, Qingjie, et al.
Published: (2025)

Learning and Unlearning of Fabricated Knowledge in Language Models
by: Sun, Chen, et al.
Published: (2024)

Rethinking Machine Unlearning in Image Generation Models
by: Liu, Renyang, et al.
Published: (2025)

Second-Order Information Matters: Revisiting Machine Unlearning for Large Language Models
by: Gu, Kang, et al.
Published: (2024)