Cover Image

Parameter-Efficient Token Embedding Editing for Clinical Class-Level Unlearning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hou, Iyad Ait, Borad, Shrenik, Sharma, Harsh, Srinivasan, Pooja, Hwa, Rebecca, Zirikly, Aya
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Polysemanticity or Polysemy? Lexical Identity Confounds Superposition Metrics
by: Hou, Iyad Ait, et al.
Published: (2026)

Mirroring Minds: Asymmetric Linguistic Accommodation and Diagnostic Identity in ADHD and Autism Reddit Communities
by: Mankarious, Saad, et al.
Published: (2026)

Style Transfer as Bias Mitigation: Diffusion Models for Synthetic Mental Health Text for Arabic
by: Mankarious, Saad, et al.
Published: (2026)

Unified Parameter-Efficient Unlearning for LLMs
by: Ding, Chenlu, et al.
Published: (2024)

Orthogonal Soft Pruning for Efficient Class Unlearning
by: Gong, Qinghui, et al.
Published: (2025)

eCIL-MU: Embedding based Class Incremental Learning and Machine Unlearning
by: Zuo, Zhiwei, et al.
Published: (2024)

Module-Aware Parameter-Efficient Machine Unlearning on Transformers
by: Bao, Wenjie, et al.
Published: (2025)

Erase then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning
by: Yang, Zhe-Rui, et al.
Published: (2024)

Stable Forgetting: Bounded Parameter-Efficient Unlearning in Foundation Models
by: Garg, Arpit, et al.
Published: (2025)

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers
by: Pathak, Harsh Nilesh, et al.
Published: (2025)

LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models
by: Veldanda, Akshaj Kumar, et al.
Published: (2024)

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

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization
by: Gong, Shuai, et al.
Published: (2025)

Principled Curriculum Learning using Parameter Continuation Methods
by: Pathak, Harsh Nilesh, et al.
Published: (2025)

On the Necessity of Output Distribution Reweighting for Effective Class Unlearning
by: Ebrahimpour-Boroojeny, Ali, et al.
Published: (2025)

Discriminative Adversarial Unlearning
by: Sharma, Rohan, et al.
Published: (2024)

GateRA: Token-Aware Modulation for Parameter-Efficient Fine-Tuning
by: Ou, Jie, et al.
Published: (2025)

Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats
by: Liu, Kuanrong, et al.
Published: (2024)

DP2Unlearning: An Efficient and Guaranteed Unlearning Framework for LLMs
by: Mahmud, Tamim Al, et al.
Published: (2025)

Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation
by: Yuan, Haochen, et al.
Published: (2025)

Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting
by: Kodge, Sangamesh, et al.
Published: (2023)

A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the same Skeleton
by: Sharma, Vidya Sagar
Published: (2023)

CARMA: Comprehensive Automatically-annotated Reddit Mental Health Dataset for Arabic
by: Mankarious, Saad, et al.
Published: (2025)

Performance Metric for Multiple Anomaly Score Distributions with Discrete Severity Levels
by: Yi, Wonjun, et al.
Published: (2024)

Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models
by: Li, Kunhao, et al.
Published: (2025)

Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers
by: Kohli, Harsh, et al.
Published: (2026)

Efficient Machine Unlearning via Influence Approximation
by: Liu, Jiawei, et al.
Published: (2025)

PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
by: Reklos, Ioannis, et al.
Published: (2025)

Tackling Federated Unlearning as a Parameter Estimation Problem
by: Balordi, Antonio, et al.
Published: (2025)

Large Language Models Struggle in Token-Level Clinical Named Entity Recognition
by: Lu, Qiuhao, et al.
Published: (2024)

Forget What Matters, Keep the Rest: Selective Unlearning of Informative Tokens
by: Koh, Seunghee, et al.
Published: (2026)

LightSAE: Parameter-Efficient and Heterogeneity-Aware Embedding for IoT Multivariate Time Series Forecasting
by: Ren, Yi, et al.
Published: (2025)

Efficient Knowledge Graph Unlearning with Zeroth-order Information
by: Xiao, Yang, et al.
Published: (2025)

Multi-Level Causal Embeddings
by: Schooltink, Willem, et al.
Published: (2026)

Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks
by: Tiwary, Piyush, et al.
Published: (2023)

JTok: On Token Embedding as another Axis of Scaling Law via Joint Token Self-modulation
by: Yang, Yebin, et al.
Published: (2026)

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

Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks
by: Xu, Yifei, et al.
Published: (2025)

Linear Projections of Teacher Embeddings for Few-Class Distillation
by: Loo, Noel, et al.
Published: (2024)

Machine Unlearning for Recommendation Systems: An Insight
by: Sachdeva, Bhavika, et al.
Published: (2024)