Co-occurring keywords · papers mentioning both
Papers
Fine-Grained Interpretation of Political Opinions in Large Language Models
AAAI 2026
Psychological Steering in LLMs: An Evaluation of Effectiveness and Trustworthiness
ACL 2026
Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation Engineering
ACL 2026
Camouflage Anything: Learning to Hide using Controlled Out-painting and Representation Engineering
CVPR 2025
Can Role Vectors Affect LLM Behaviour?
EMNLP 2025
Improving Large Language Model Safety with Contrastive Representation Learning
EMNLP 2025
Improving Reasoning Performance in Large Language Models via Representation Engineering
ICLR 2025
LEGEND: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets
AAAI 2025
Representation Bending for Large Language Model Safety
ACL 2025
Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective
COLING 2025
SHARP: Steering Hallucination in LVLMs via Representation Engineering
EMNLP 2025
Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
NAACL 2025
Steering off Course: Reliability Challenges in Steering Language Models
ACL 2025
Tracing and Dissecting How LLMs Recall Factual Knowledge for Real World Questions
ACL 2025
Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
ACL 2025
Unsupervised Concept Vector Extraction for Bias Control in LLMs
EMNLP 2025
Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models
NeurIPS 2024
Aligning Large Language Models with Human Preferences through Representation Engineering
ACL 2024
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control
NeurIPS 2024
Improving Alignment and Robustness with Circuit Breakers
NeurIPS 2024
ExpBERT: Representation Engineering with Natural Language Explanations
ACL 2020