Language Breakdown
Lines of code distribution across 18 owned repositories
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Collaboration Network
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Materials for "Prompting is not a substitute for probability measurements in large language models" (EMNLP 2023)
Materials for RNN tutorial @ Harvard-MIT Theoretical and Computational Neuroscience Journal Club
Code and data for "A fine-grained comparison of pragmatic language understanding in humans and language models"
Auxiliary task demands mask the capabilities of smaller language models (COLM 2024)
Code and data for "Expectations over unspoken alternatives predict pragmatic inferences" (Hu et al., TACL 2023)
Code for the SCiL 2020 paper "A closer look at the performance of neural language models on reflexive anaphor licensing"
"Signatures of human-like processing in Transformer forward passes"
Open Source Neural Machine Translation in PyTorch
Materials for "Shades of Zero: Distinguishing Impossibility from Inconceivability"
Open Source Impact
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