Image de couverture de livre

Local Language Models for Context-Aware Adaptive Anonymization of Sensitive Text

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Adeseye, Aisvarya, Isoaho, Jouni, Virtanen, Seppo, Tahir, Mohammad
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Dynamic Agentic AI Expert Profiler System Architecture for Multidomain Intelligence Modeling
par: Adeseye, Aisvarya, et autres
Publié: (2026)

Modular AI-Powered Interviewer with Dynamic Question Generation and Expertise Profiling
par: Adeseye, Aisvarya, et autres
Publié: (2025)

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification
par: Adeseye, Aisvarya, et autres
Publié: (2026)

Strengthening Human-Centric Chain-of-Thought Reasoning Integrity in LLMs via a Structured Prompt Framework
par: Zhou, Jiling, et autres
Publié: (2026)

Parallel LLM Reasoning for Bias-Resilient, Robust Conceptual Abstraction
par: Adeseye, Aisvarya, et autres
Publié: (2026)

Entropy and Attention Dynamics in Small Language Models: A Trace-Level Structural Analysis on the TruthfulQA Benchmark
par: Adeseye, Adeyemi, et autres
Publié: (2026)

A Prompt-Based Framework for Loop Vulnerability Detection Using Local LLMs
par: Adeseye, Adeyemi, et autres
Publié: (2026)

A four‐phase model and a mobile app for crisis preparedness and management in small and medium sized enterprises
par: Kimmo Kiiveri, et autres
Publié: (2024)

Context-Aware Full Body Anonymization using Text-to-Image Diffusion Models
par: Zwick, Pascal, et autres
Publié: (2024)

AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text
par: Shao, Chenyang, et autres
Publié: (2025)

Towards Context-Aware Image Anonymization with Multi-Agent Reasoning
par: Aufschläger, Robert, et autres
Publié: (2026)

Training Text-to-Molecule Models with Context-Aware Tokenization
par: Kim, Seojin, et autres
Publié: (2025)

Language Models for Text Classification: Is In-Context Learning Enough?
par: Edwards, Aleksandra, et autres
Publié: (2024)

The Thinking Therapist: Training Large Language Models to Deliver Acceptance and Commitment Therapy using Supervised Fine-Tuning and Odds Ratio Policy Optimization
par: Tahir, Talha
Publié: (2025)

A Survey on Current Trends and Recent Advances in Text Anonymization
par: Deußer, Tobias, et autres
Publié: (2025)

Pipelined Decoder for Efficient Context-Aware Text Generation
par: Huang, Zixian, et autres
Publié: (2025)

Large Language Models are Advanced Anonymizers
par: Staab, Robin, et autres
Publié: (2024)

Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning
par: Ma, Ziyu, et autres
Publié: (2025)

Learning and Enforcing Context-Sensitive Control for LLMs
par: Albinhassan, Mohammad, et autres
Publié: (2026)

Adaptive In-Context Learning with Large Language Models for Bundle Generation
par: Sun, Zhu, et autres
Publié: (2023)

Improving Context-Aware Preference Modeling for Language Models
par: Pitis, Silviu, et autres
Publié: (2024)

Context-Aware Semantic Recomposition Mechanism for Large Language Models
par: Katrix, Richard, et autres
Publié: (2025)

Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study
par: Pissarra, David, et autres
Publié: (2024)

LEAP: Learnable End-to-End Adaptive Pruning of Large Language Models
par: Mozaffari, Mohammad, et autres
Publié: (2026)

ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents
par: Zhang, Zhenyu, et autres
Publié: (2025)

Bridging Local Details and Global Context in Text-Attributed Graphs
par: Wang, Yaoke, et autres
Publié: (2024)

On the Temporal Question-Answering Capabilities of Large Language Models Over Anonymized Data
par: Ruiz, Alfredo Garrachón, et autres
Publié: (2025)

One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language Models
par: Shao, Hang, et autres
Publié: (2023)

Anonymous-by-Construction: An LLM-Driven Framework for Privacy-Preserving Text
par: Albanese, Federico, et autres
Publié: (2026)

Phantasia: Context-Adaptive Backdoors in Vision Language Models
par: Tran, Nam Duong, et autres
Publié: (2026)

Steering Multimodal Large Language Models Decoding for Context-Aware Safety
par: Liu, Zheyuan, et autres
Publié: (2025)

Context-Adaptive Multi-Prompt Embedding with Large Language Models for Vision-Language Alignment
par: Kim, Dahun, et autres
Publié: (2025)

Beyond Length: Context-Aware Expansion and Independence as Developmentally Sensitive Evaluation in Child Utterances
par: Chun, Jiyun, et autres
Publié: (2026)

ConTextTab: A Semantics-Aware Tabular In-Context Learner
par: Spinaci, Marco, et autres
Publié: (2025)

ContextAnyone: Context-Aware Diffusion for Character-Consistent Text-to-Video Generation
par: Mai, Ziyang, et autres
Publié: (2025)

Environment-Aware Adaptive Pruning with Interleaved Inference Orchestration for Vision-Language-Action Models
par: Huang, Yuting, et autres
Publié: (2026)

RAT-Bench: A Comprehensive Benchmark for Text Anonymization
par: Krčo, Nataša, et autres
Publié: (2026)

Reinforcement Learning for Adaptive Traffic Signal Control: Turn-Based and Time-Based Approaches to Reduce Congestion
par: Rafique, Muhammad Tahir, et autres
Publié: (2024)

Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback
par: Pedramfar, Mohammad, et autres
Publié: (2023)

Measuring Embedding Sensitivity to Authorial Style in French: Comparing Literary Texts with Language Model Rewritings
par: Icard, Benjamin, et autres
Publié: (2026)