Search Results for author: See Kiong Ng

Found 8 papers, 3 papers with code

MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

1 code implementation14 Nov 2023 Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See Kiong Ng, Jiashi Feng

Large Language Models (LLMs) have marked a significant advancement in the field of natural language processing, demonstrating exceptional capabilities in reasoning, tool usage, and memory.

Benchmarking Language Modelling +1

ARES: Locally Adaptive Reconstruction-based Anomaly Scoring

1 code implementation15 Jun 2022 Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng

However, the anomaly scoring function is not adaptive to the natural variation in reconstruction error across the range of normal samples, which hinders their ability to detect real anomalies.

Anomaly Detection Dimensionality Reduction

LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks

1 code implementation10 Dec 2021 Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng

This allows us to introduce learnability into local outlier methods, in the form of a neural network, for greater flexibility and expressivity: specifically, we propose LUNAR, a novel, graph neural network-based anomaly detection method.

Anomaly Detection Outlier Detection

Utilizing Temporal Information for Taxonomy Construction

no code implementations TACL 2016 Luu Anh Tuan, Siu Cheung Hui, See Kiong Ng

Taxonomies play an important role in many applications by organizing domain knowledge into a hierarchy of {`}is-a{'} relations between terms.

Question Answering Time Series +1

Cannot find the paper you are looking for? You can Submit a new open access paper.