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- Code for the paper "On the Expressivity Role of LayerNorm in Transformers' Attention" (Findings of ACL'2023)
- Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"
- Code for the paper "A Structural Model for Contextual Code Changes"
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
RASP-exps
Publicpldi-utils
PublicNero
PublicRNN_to_PRS_CFG
Publicadversarial-examples
Publicsafe
Publicweighted_lstar
Publicid2vec
Publiclstar_extraction
Publicdifferential
Publiccounting_dimensions
Publicprime
Publicesh
Publicelasticsearch
PublicTRACY
Public