4 citations · 5 across the 5 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.CL2025
OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics
Vineeth Dorna, Anmol Mekala, Wenlong Zhao +4
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…
cs.CL2025★ 1 cited
Does quantization affect models' performance on long-context tasks?
Anmol Mekala, Anirudh Atmakuru, Yixiao Song +2
Large language models (LLMs) now support context windows exceeding 128K tokens, but this comes with significant memory requirements and high inference latency. Quantization can mit…