作者位次 #2/3ICLR 2026Poster· Social Aspects / Trustworthy Machine Learning
Reinforcement Unlearning via Group Relative Policy Optimization
Efstratios Zaradoukas · Bardh Prenkaj · Gjergji Kasneci
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Efstratios Zaradoukas · Bardh Prenkaj · Gjergji Kasneci
Shuo Yang · Zheyu Zhang · Bardh Prenkaj · Gjergji Kasneci
Generating high-fidelity synthetic tabular data remains a critical challenge for enhancing data availability in privacy-sensitive and low-resource domains. Recent approaches leverage LLMs by representing table rows as sequences, yet suffer from two fundamental limitations: (1) they model feature...
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Activation steering has emerged as a powerful tool to shape LLM behaviour without the need for weight updates. While its inherent brittleness and unreliability are well-documented, its safety implications remain underexplored. In this work, we present a systematic safety audit of steering vectors...