ValuePEFT: an effective method for steerable multi-level human values in LLMs
- 8 October 2026
- journal article
- research article
- Published by Springer Nature in Applied Intelligence
- Vol. 56 (15) , 479
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- MTL-LoRA: Low-Rank Adaptation for Multi-Task LearningProceedings of the AAAI Conference on Artificial Intelligence, 2025
- Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models2025
- When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications2024
- Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and DutiesProceedings of the AAAI Conference on Artificial Intelligence, 2024
- From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models2023
- ProsocialDialog: A Prosocial Backbone for Conversational Agents2022
- Identifying the Human Values behind Arguments2022
- On the Dangers of Stochastic Parrots2021
- Artificial Intelligence, Values, and AlignmentMinds and Machines, 2020
- Hierarchical Mixtures of Experts and the EM AlgorithmNeural Computation, 1994