7 citations · 8 across the 7 of their papers we have counts for
7 papers
A Survey on the Linear Representation Hypothesis
Sewoong Lee, Marc E. Canby, Ikhyun Cho +1
The term "linear representation hypothesis" (LRH) has appeared across diverse subfields of artificial intelligence, neuroscience, and cognitive science. But previous works have not…
MineCEraft: Evaluating Language Models as Construction Engineers in the World of Minecraft
Sewoong Lee, Risham Sidhu, Julia Hockenmaier +1
We introduce MineCEraft (Minecraft Construction Engineering Benchmark, pronounced mine-see-ee-raft), an easy-to-use, open-source benchmark designed to systematically evaluate the r…
Steering Instruction Hierarchies at Inference Time
Siqi Zeng, Sewoong Lee, Han Zhao +1
Instruction hierarchies are a core safety assumption of language model deployment: higher priority inputs, such as system prompts, should override conflicting lower priority inputs…
Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures
Tyler A. Chang, Catherine Arnett, Abdelrahman Sadallah +377
To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we pre…
Evaluating and Designing Sparse Autoencoders by Approximating Quasi-Orthogonality
Sewoong Lee, Adam Davies, Marc E. Canby +1
Sparse autoencoders (SAEs) are widely used in mechanistic interpretability research for large language models; however, the state-of-the-art method of using -sparse autoencoders…
Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing
Sewoong Lee, JinKyou Choi, Min Su Kim
This paper introduces TRACE-GPT, which stands for Time-seRies Anomaly-detection with Convolutional Embedding and Generative Pre-trained Transformers. TRACE-GPT is designed to pre-t…
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning
Hayeon Lee, Sewoong Lee, Song Chong +1
For deployment, neural architecture search should be hardware-aware, in order to satisfy the device-specific constraints (e.g., memory usage, latency and energy consumption) and en…