Machine Unlearning for Speech Question Answering in Large Audio-Language Models

arXiv:2609.13195 · cs.LG, cs.CL, cs.SD, eess.AS · Submitted 2026-08-13 · Read on arXiv

cs.LG, cs.CL, cs.SD, eess.AS

Submitted: 2026-08-13

Updated: 2026-08-13

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Machine Unlearning — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Automatic Speech Recognition (ASR) — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks