1 |
How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 125-140 (2020) (2020)
|
|
BASE
|
|
Show details
|
|
5 |
RNNs Implicitly Implement Tensor Product Representations
|
|
|
|
In: International Conference on Learning Representations ; ICLR 2019 - International Conference on Learning Representations ; https://hal.archives-ouvertes.fr/hal-02274498 ; ICLR 2019 - International Conference on Learning Representations, May 2019, New Orleans, United States (2019)
|
|
BASE
|
|
Show details
|
|
6 |
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|