Orion Weller
I’m a third-year PhD student at the Center for Language and Speech Processing at Johns Hopkins University, advised by Benjamin Van Durme and Dawn Lawrie. I am broadly interested in natural language processing (NLP), information retrieval (IR), and machine learning (ML). My research is graciously supported by a NSF Graduate Research Fellowship.
My current research is situated between the NLP and IR fields, where I work to improve how models find, understand, and generate information. Some representative examples of my work include evaluating and using instuctions in retrieval, exploring LLM data to improve factuality/attribution, and using retrieval to improve RAG.
Previously I graduated with my Bachelor’s degree from Brigham Young University in computer science and statistics, where I was advised by Kevin Seppi and Quinn Snell.
In the past, I’ve spent time interning with many excellent mentors: at Semantic Scholar/AI2 working with Luca Soldaini, Kyle Lo, and Arman Cohan in 2023, at Apple AI/ML with Matthias Sperber in 2020 and 2021, and at AllenNLP/AI2 with Matt Gardner and Matthew Peters in 2020.
If you’re interested in getting in contact with me, please email me at {last_name}{first_name}@gmail.com.
news
Apr 2024 | Two new preprints and one accepted paper at SIGIR 2024: At SIGIR, On the Evaluation of Machine-Generated Reports and new Arxiv papers on evaluating and using instructions in IR and exploring LLM training data knowledge cutoffs and duplicates. |
---|---|
Jan 2024 | Four papers accepted to EACL 2024: evaluating LLM-expansions for IR models, improving factuality and attribution in LLMs, evaluating negation in information retrieval, and defending against misinformation attacks. |