Search Results for author: Kang Gu

Found 5 papers, 2 papers with code

Second-Order Information Matters: Revisiting Machine Unlearning for Large Language Models

no code implementations13 Mar 2024 Kang Gu, Md Rafi Ur Rashid, Najrin Sultana, Shagufta Mehnaz

With the rapid development of Large Language Models (LLMs), we have witnessed intense competition among the major LLM products like ChatGPT, LLaMa, and Gemini.

Machine Unlearning

DocGraphLM: Documental Graph Language Model for Information Extraction

no code implementations5 Jan 2024 Dongsheng Wang, Zhiqiang Ma, Armineh Nourbakhsh, Kang Gu, Sameena Shah

Advances in Visually Rich Document Understanding (VrDU) have enabled information extraction and question answering over documents with complex layouts.

document understanding Language Modelling +2

FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering

no code implementations24 Oct 2023 Md Rafi Ur Rashid, Vishnu Asutosh Dasu, Kang Gu, Najrin Sultana, Shagufta Mehnaz

Federated learning (FL) is becoming a key component in many technology-based applications including language modeling -- where individual FL participants often have privacy-sensitive text data in their local datasets.

Federated Learning Language Modelling

Feature Selection for Multivariate Time Series via Network Pruning

1 code implementation11 Feb 2021 Kang Gu, Soroush Vosoughi, Temiloluwa Prioleau

In recent years, there has been an ever increasing amount of multivariate time series (MTS) data in various domains, typically generated by a large family of sensors such as wearable devices.

feature selection Network Pruning +2

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