Papers by Mycal Tucker
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes (2022.naacl-main)
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| Challenge: | Recent studies show that models encode syntactic information redundantly . this allows researchers to boost models' performance by injecting syntaktic information into embeddings . |
| Approach: | They propose a new probe design that guides probes to consider all syntactic information present in embeddings. |
| Outcome: | The proposed model improves performance by injecting syntactic information into models. |
What if This Modified That? Syntactic Interventions with Counterfactual Embeddings (2021.findings-acl)
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| Challenge: | Prior art aims to uncover meaningful properties within model representations, but it is unclear how faithfully such probes portray information that the models actually use. |
| Approach: | They propose a technique for generating counterfactual embeddings within models . they produce evidence that some models use a tree-distancelike representation of syntax . |
| Outcome: | The proposed technique produces evidence that some models use tree-distancelike representations of syntax in downstream prediction tasks. |