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Vineeth Dorna

2 accepted papers

2025

Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models

COLING 2025main

Machine unlearning aims to efficiently eliminate the influence of specific training data, known as the forget set, from the model. However, existing unlearning methods for Large Language Models (LLMs) face a critical challenge: they rely solely on negative feedback to suppress responses related to t…

2025

OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics

NeurIPS 2025poster

Robust unlearning is crucial for safely deploying large language models (LLMs) in environments where data privacy, model safety, and regulatory compliance must be ensured. Yet the task is inherently challenging, partly due to difficulties in reliably measuring whether unlearning has truly occurred.…

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