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09/07/2023
Large Language Models as Optimizers
Optimization is ubiquitous. While derivative-based algorithms have been ...
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08/31/2023
BioCoder: A Benchmark for Bioinformatics Code Generation with Contextual Pragmatic Knowledge
Pre-trained language models like ChatGPT have significantly improved cod...
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05/26/2023
Large Language Models as Tool Makers
Recent research shows the potential of enhancing the problem-solving abi...
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05/24/2023
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts
The explosive growth of language models and their applications have led ...
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05/15/2023
Symbol tuning improves in-context learning in language models
We present symbol tuning - finetuning language models on in-context inpu...
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04/11/2023
Teaching Large Language Models to Self-Debug
Large language models (LLMs) have achieved impressive performance on cod...
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04/01/2023
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection
We propose and release a new vulnerable source code dataset. We curate t...
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03/07/2023
Larger language models do in-context learning differently
We study how in-context learning (ICL) in language models is affected by...
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03/06/2023
Online Learning and Optimization for Queues with Unknown Demand Curve and Service Distribution
We investigate an optimization problem in a queueing system where the se...
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01/31/2023
Large Language Models Can Be Easily Distracted by Irrelevant Context
Large language models have achieved impressive performance on various na...
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11/16/2022
Data-pooling Reinforcement Learning for Personalized Healthcare Intervention
Motivated by the emerging needs of personalized preventative interventio...
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10/26/2022
Benchmarking Language Models for Code Syntax Understanding
Pre-trained language models have demonstrated impressive performance in ...
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09/29/2022
Compositional Semantic Parsing with Large Language Models
Humans can reason compositionally when presented with new tasks. Previou...
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05/04/2022
Measuring and Improving Compositional Generalization in Text-to-SQL via Component Alignment
In text-to-SQL tasks – as in much of NLP – compositional generalization ...
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02/08/2022
Competition-Level Code Generation with AlphaCode
Programming is a powerful and ubiquitous problem-solving tool. Developin...
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12/16/2021
Learning Bounded Context-Free-Grammar via LSTM and the Transformer:Difference and Explanations
Long Short-Term Memory (LSTM) and Transformers are two popular neural ar...
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10/28/2021
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs
Knowledge graphs (KGs) capture knowledge in the form of head–relation–ta...
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09/11/2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques
Deep neural networks (DNNs) are vulnerable to adversarial noises, which ...
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09/11/2021
Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization
Recently, there has been significant progress in studying neural network...
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09/11/2021
Natural SQL: Making SQL Easier to Infer from Natural Language Specifications
Addressing the mismatch between natural language descriptions and the co...
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07/08/2021
A Note on General Statistics of Publicly Accessible Knowledge Bases
Knowledge bases are prevalent in various domains and have been widely us...
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06/29/2021
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages
Program synthesis from input-output examples has been a long-standing ch...
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06/26/2021
SpreadsheetCoder: Formula Prediction from Semi-structured Context
Spreadsheet formula prediction has been an important program synthesis p...
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06/24/2021
Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View
Since the first coronavirus case was identified in the U.S. on Jan. 21, ...
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06/02/2021
Towards Robustness of Text-to-SQL Models against Synonym Substitution
Recently, there has been significant progress in studying neural network...
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04/12/2021
A High-fidelity, Machine-learning Enhanced Queueing Network Simulation Model for Hospital Ultrasound Operations
We collaborate with a large teaching hospital in Shenzhen, China and bui...
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02/25/2021
Understanding Robustness in Teacher-Student Setting: A New Perspective
Adversarial examples have appeared as a ubiquitous property of machine l...
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12/18/2020
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
As machine learning systems grow in scale, so do their training data req...
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12/03/2020
Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization
There is now extensive evidence demonstrating that deep neural networks ...
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09/07/2020
An online learning approach to dynamic pricing and capacity sizing in service systems
We study a dynamic pricing and capacity sizing problem in a GI/GI/1 queu...
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08/15/2020
Compositional Generalization via Neural-Symbolic Stack Machines
Despite achieving tremendous success, existing deep learning models have...
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07/16/2020
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis
The use of deep learning techniques has achieved significant progress fo...
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07/12/2020
Perfect Sampling of Multivariate Hawkes Process
As an extension of self-exciting Hawkes process, the multivariate Hawkes...
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05/19/2020
Adversarial Attacks for Embodied Agents
Adversarial attacks are valuable for providing insights into the blind-s...
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11/17/2019
REFIT: a Unified Watermark Removal Framework for Deep Learning Systems with Limited Data
Deep neural networks (DNNs) have achieved tremendous success in various ...
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10/10/2019
Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies
We consider off-policy policy evaluation when the trajectory data are ge...
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06/28/2019
A Neural-based Program Decompiler
Reverse engineering of binary executables is a critical problem in the c...
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09/30/2018
Learning to Progressively Plan
For problem solving, making reactive decisions based on problem descript...
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02/11/2018
Tree-to-tree Neural Networks for Program Translation
Program translation is an important tool to migrate legacy code in one l...
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12/15/2017
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Deep learning models have achieved high performance on many tasks, and t...
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09/25/2017
Can you fool AI with adversarial examples on a visual Turing test?
Deep learning has achieved impressive results in many areas of Computer ...
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06/05/2017
Learning Neural Programs To Parse Programs
In this work, we study an important problem: learning programs from inpu...
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11/07/2016
Latent Attention For If-Then Program Synthesis
Automatic translation from natural language descriptions into programs i...
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04/09/2016
