5 papers · 1 filter
Inference-Time Target Speaker Unlearning in LLM-Based Automatic Speech Recognition
Bo Su, Yueru Yan, Thai Le
We introduce target-speaker unlearning ASR (TSU-ASR) task in a fully end-to-end framework for multi-speaker ASR and diarization. Given a multi-speaker utterance and a set of opt-ou…
Locating and Controlling Implicit Personalization in Large Language Models
Yueru Yan, Siqi Wu, Thai Le
Large language models (LLMs) often shift their outputs in response to implicit demographic cues even when users never state a demographic identity. Previous work has documented thi…
PreUnlearn: Auditing Collateral Knowledge Damage Before Large Language Model Unlearning
Bo Su, Ankit Shah, Thai Le
Machine unlearning for large language models (LLMs) aims to remove specified knowledge while preserving the rest of the model's capabilities. However, the boundary between knowledg…
Beyond Linear Activation Steering: Invertible Latent Transformations for Controlling LLM Behavior
Tuc Nguyen, Thai Le
Activation steering provides a lightweight inference-time mechanism for controlling large language models (LLMs) by modifying their internal activation vectors toward desired behav…
ATLAS: Verifier-Guided Adaptive Latent Activation Steering for Efficient LLM Reasoning
Tuc Nguyen, Thai Le
Recent work on activation and latent steering has demonstrated that modifying internal representations can effectively guide large language models (LLMs) toward improved reasoning…