jennhu

syntactic-generalization

Code and data for "A Systematic Assessment of Syntactic Generalization in Neural Language Models"

expectations-over-alternatives

Code and data for "Expectations over unspoken alternatives predict pragmatic inferences" (Hu et al., TACL 2023)

LanguageProduction

Materials and code for Hu, Small, et al. (2022)

lm-pragmatics

Code and data for "A fine-grained comparison of pragmatic language understanding in humans and language models"

metalinguistic-prompting

Materials for "Prompting is not a substitute for probability measurements in large language models" (EMNLP 2023)

Neural-EM

Code for the "Neural Expectation Maximization" paper.

OpenNMT-py

Open Source Neural Machine Translation in PyTorch

photovoltaics

Predicting the efficiency of organic photovoltaics for Harvard's CS 181 (Machine Learning).

reflexive-anaphor-licensing

Code for the SCiL 2020 paper "A closer look at the performance of neural language models on reflexive anaphor licensing"

rnn-tutorial

Materials for RNN tutorial @ Harvard-MIT Theoretical and Computational Neuroscience Journal Club

jennhu/metalinguistic-prompting

Materials for "Prompting is not a substitute for probability measurements in large language models" (EMNLP 2023)

jennhu/rnn-tutorial

Materials for RNN tutorial @ Harvard-MIT Theoretical and Computational Neuroscience Journal Club

jennhu/lm-pragmatics

Code and data for "A fine-grained comparison of pragmatic language understanding in humans and language models"

jennhu/lm-task-demands

Auxiliary task demands mask the capabilities of smaller language models (COLM 2024)

jennhu/expectations-over-alternatives

Code and data for "Expectations over unspoken alternatives predict pragmatic inferences" (Hu et al., TACL 2023)

jennhu/reflexive-anaphor-licensing

Code for the SCiL 2020 paper "A closer look at the performance of neural language models on reflexive anaphor licensing"

jennhu/OpenNMT-py

Open Source Neural Machine Translation in PyTorch

jennhu/response-to-DGL

jennhu/Neural-EM

Code for the "Neural Expectation Maximization" paper.

jennhu/photovoltaics

Predicting the efficiency of organic photovoltaics for Harvard's CS 181 (Machine Learning).

jennhu/bert

TensorFlow code and pre-trained models for BERT

jennhu/LanguageProduction

Materials and code for Hu, Small, et al. (2022)

jennhu/tag

Automating tree-adjoining grammar analyses of linguistic phenomena.

jennhu/bert-syntax

Assessing syntactic abilities of BERT

jennhu/blank_language_model

Blank Language Models

jennhu/cards-agent

jennhu/Gesture2Vec

This is an official PyTorch implementation of "Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation" (IROS 2022).

jennhu/LM_syneval

Code for replicating the work in "Targeted Syntactic Evaluation of Language Models." EMNLP 2018.

jennhu/malware

Classifying malicious software for Harvard's CS 181 (Machine Learning).

jennhu/musicrec

Recommending musical artists for Harvard's CS 181 (Machine Learning).

jennhu/Number_and_syntax_units_in_LSTM_LMs

jennhu/pragmatic-instructions

jennhu/quantifying-redundancy

Code for the EMNLP 2023 paper "Quantifying the redundancy between prosody and text"

jennhu/refining-tse

jennhu/rnn_agreement

Evaluating recurrent neural networks on predicting subject-verb agreement dependencies

jennhu/swingymonkey

Teaching a computer to play Swingy Monkey for Harvard's CS 181 (Machine Learning).

jennhu/under-the-hood

Using diagnostic classifiers to investigate and improve how language models process subject-verb agreement

jennhu/vmf_vae_nlp

Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"