Orion Weller

Expert
@orionw

PhD Student @JHU-CLSP

promptriever. The first dense retrieval model that can be prompted like an LM

93

RedditHumorDetection. Code and datasets for the paper "Humor Detection: A Transformer Gets the Last Laugh"

84

rJokesData. A large scale Humor Dataset, containing more than 550k rated English jokes (LREC'20)

78

rank1. Test-time compute in information retrieval

59

FollowIR. FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions

56

Multilingual-Federated-Learning. Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022

11

humorTranslate. Using Machine Translation to "translate" non-humor into humor. Code for the paper "Humorous Headline Generation via Style Transfer" at FigLang 2020

9

bert24. Python

9

MTLvsIFT. Code for the paper "When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning"

6

LM-expansions. When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets

5

according-to. Getting language models to quote from their pre-training data (EACL'24)

5

NevIR. Negation in Information Retrieval (EACL'24)

5

configtune. An easy way to tune machine learning hyperparameters (especially for those that use a config file)

3

mteb-lite. Python

2

DocumentReadingTime. Code and data from the ACL paper "You Don’t Have Time to Read This: an Exploration of Document-LevelReading Time Prediction"

2

BYU-Housing-Finder. App for Student Housing - see link to Google Play

2

GANExperiments. My experiments with GANs

1

LLaMA-Factory. Unify Efficient Fine-Tuning of 100+ LLMs

1

tevatron. Tevatron - A flexible toolkit for neural retrieval research and development.

1

disinformation-defense. Defending Against Misinformation Attacks in Open-Domain Question Answering

1

LLM-expansions.

1

ModelComparison. An R Package to return a variety of different model types, complete with hyper-parameter tuning

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