This is your work, valued
PhD Student @JHU-CLSP
promptriever. The first dense retrieval model that can be prompted like an LM
93RedditHumorDetection. Code and datasets for the paper "Humor Detection: A Transformer Gets the Last Laugh"
84rJokesData. A large scale Humor Dataset, containing more than 550k rated English jokes (LREC'20)
78rank1. Test-time compute in information retrieval
59FollowIR. FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
56Multilingual-Federated-Learning. Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022
11humorTranslate. Using Machine Translation to "translate" non-humor into humor. Code for the paper "Humorous Headline Generation via Style Transfer" at FigLang 2020
9bert24. Python
9MTLvsIFT. Code for the paper "When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning"
6LM-expansions. When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets
5according-to. Getting language models to quote from their pre-training data (EACL'24)
5NevIR. Negation in Information Retrieval (EACL'24)
5configtune. An easy way to tune machine learning hyperparameters (especially for those that use a config file)
3mteb-lite. Python
2DocumentReadingTime. Code and data from the ACL paper "You Don’t Have Time to Read This: an Exploration of Document-LevelReading Time Prediction"
2BYU-Housing-Finder. App for Student Housing - see link to Google Play
2GANExperiments. My experiments with GANs
1LLaMA-Factory. Unify Efficient Fine-Tuning of 100+ LLMs
1tevatron. Tevatron - A flexible toolkit for neural retrieval research and development.
1disinformation-defense. Defending Against Misinformation Attacks in Open-Domain Question Answering
1LLM-expansions.
1ModelComparison. An R Package to return a variety of different model types, complete with hyper-parameter tuning
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