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09/05/2023
Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair
Decentralized Finance (DeFi) is emerging as a peer-to-peer financial eco...
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04/25/2023
Demystifying Random Number in Ethereum Smart Contract: Taxonomy, Vulnerability Identification, and Attack Detection
Recent years have witnessed explosive growth in blockchain smart contrac...
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01/10/2023
Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting
Blockchain smart contracts have given rise to a variety of interesting a...
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11/26/2022
Demystifying Bitcoin Address Behavior via Graph Neural Networks
Bitcoin is one of the decentralized cryptocurrencies powered by a peer-t...
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09/13/2022
Smart Contract Vulnerability Detection Technique: A Survey
Smart contract, one of the most successful applications of blockchain, i...
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04/20/2022
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes
Recent causal probing literature reveals when language models and syntac...
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09/22/2021
Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models
Prior work has shown that structural supervision helps English language ...
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07/30/2021
Structural Guidance for Transformer Language Models
Transformer-based language models pre-trained on large amounts of text d...
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07/24/2021
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection
Smart contract vulnerability detection draws extensive attention in rece...
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06/17/2021
Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion
Smart contracts hold digital coins worth billions of dollars, their secu...
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05/28/2021
What if This Modified That? Syntactic Interventions via Counterfactual Embeddings
Neural language models exhibit impressive performance on a variety of ta...
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10/12/2020
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models
Humans can learn structural properties about a word from minimal experie...
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06/02/2020
On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior
Human reading behavior is tuned to the statistics of natural language: t...
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05/07/2020
A Systematic Assessment of Syntactic Generalization in Neural Language Models
State-of-the-art neural network models have achieved dizzyingly low perp...
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09/10/2019
Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study
Neural language models have achieved state-of-the-art performances on ma...
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03/08/2019
Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State
We deploy the methods of controlled psycholinguistic experimentation to ...
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03/03/2019
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
State-of-the-art LSTM language models trained on large corpora learn seq...
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04/22/2016