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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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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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09/29/2022
Compositional Semantic Parsing with Large Language Models
Humans can reason compositionally when presented with new tasks. Previou...
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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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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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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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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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09/25/2017
