4 papers · 1 filter
Can Agents Truly Forget? Explore Machine Unlearning for LLM Agents
Junkai Lin, Ge Xu, Zheng Xu +2
Large language model (LLM) agents have shown strong capabilities in interactive problem solving, tool use, and long-horizon task execution. However, they may also acquire sensitive…
Beyond Bias Scores: Answerability Confounds in Activation Steering with Gradient-Constrained Direction Design (GCD)
Weitong Li, Donglin Song, Junkai Lin +1
Bias scores in language-model evaluations often conflate what a model prefers with whether it answers at all. We identify this confound in \textsc{BBQ}, whose ambiguous score facto…
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting
Junkai Lin, Siqi Hou, Raymond Lee
Forecasting non-stationary time series remains difficult due to long-range dependencies, local volatility bursts, structural shifts, and nonlinear oscillatory behaviors. Although T…
Toward Fine-Grained Forgetting:Attribute Unlearning for Multimodal Large Language Models
Junkai Lin, Junkai Chen, Siqi Hou +6
Multimodal large language models (MLLMs) can memorize and disclose sensitive information, motivating machine unlearning to remove designated knowledge while preserving model utilit…