research
∙
07/18/2023
How is ChatGPT's behavior changing over time?
GPT-3.5 and GPT-4 are the two most widely used large language model (LLM...
share
research
∙
02/11/2023
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks
Recent advances in instruction-following large language models (LLMs) ha...
research
∙
09/18/2022
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions
Commercial ML APIs offered by providers such as Google, Amazon and Micro...
research
∙
09/18/2022
Estimating and Explaining Model Performance When Both Covariates and Labels Shift
Deployed machine learning (ML) models often encounter new user data that...
research
∙
08/27/2022
Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework
Developers are increasingly using function-as-a-service (FaaS) platforms...
research
∙
07/29/2021
Did the Model Change? Efficiently Assessing Machine Learning API Shifts
Machine learning (ML) prediction APIs are increasingly widely used. An M...
research
∙
04/09/2021
Efficient Large-Scale Language Model Training on GPU Clusters
Large language models have led to state-of-the-art accuracies across a r...
research
∙
01/02/2021
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
Multi-hop reasoning (i.e., reasoning across two or more documents) at sc...
research
∙
09/09/2020
Task-agnostic Indexes for Deep Learning-based Queries over Unstructured Data
Unstructured data is now commonly queried by using target deep neural ne...
research
∙
07/21/2020
DBOS: A Proposal for a Data-Centric Operating System
Current operating systems are complex systems that were designed before ...
research
∙
06/18/2020
Sparse GPU Kernels for Deep Learning
Scientific workloads have traditionally exploited high levels of sparsit...
research
∙
04/27/2020
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
Recent progress in Natural Language Understanding (NLU) is driving fast-...
research
∙
06/26/2019
Selection Via Proxy: Efficient Data Selection For Deep Learning
Data selection methods such as active learning and core-set selection ar...
research
∙
03/29/2019
SysML: The New Frontier of Machine Learning Systems
Machine learning (ML) techniques are enjoying rapidly increasing adoptio...
research
∙
06/04/2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark
The deep learning community has proposed optimizations spanning hardware...
research
∙
05/02/2018
