jennhu Goto Github PK
Name: Jennifer Hu
Type: User
Company: Harvard University
Bio: Kempner Research Fellow @ Harvard University
Location: Cambridge, MA
Blog: jennhu.github.io
Name: Jennifer Hu
Type: User
Company: Harvard University
Bio: Kempner Research Fellow @ Harvard University
Location: Cambridge, MA
Blog: jennhu.github.io
TensorFlow code and pre-trained models for BERT
Assessing syntactic abilities of BERT
Blank Language Models
Code and data for "Expectations over unspoken alternatives predict pragmatic inferences" (Hu et al., TACL 2023)
This is an official PyTorch implementation of "Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation" (IROS 2022).
Materials and code for Hu, Small, et al. (2022)
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 for replicating the work in "Targeted Syntactic Evaluation of Language Models." EMNLP 2018.
Classifying malicious software for Harvard's CS 181 (Machine Learning).
Materials for "Prompting is not a substitute for probability measurements in large language models" (EMNLP 2023)
Recommending musical artists for Harvard's CS 181 (Machine Learning).
Code for the "Neural Expectation Maximization" paper.
Open Source Neural Machine Translation in PyTorch
Predicting the efficiency of organic photovoltaics for Harvard's CS 181 (Machine Learning).
Code for the EMNLP 2023 paper "Quantifying the redundancy between prosody and text"
Code for the SCiL 2020 paper "A closer look at the performance of neural language models on reflexive anaphor licensing"
Materials for RNN tutorial @ Harvard-MIT Theoretical and Computational Neuroscience Journal Club
Evaluating recurrent neural networks on predicting subject-verb agreement dependencies
Teaching a computer to play Swingy Monkey for Harvard's CS 181 (Machine Learning).
Automating tree-adjoining grammar analyses of linguistic phenomena.
Using diagnostic classifiers to investigate and improve how language models process subject-verb agreement
Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"
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