Hi, I'm Nick. I'm currently on the job market for AI/ML Science positions!
I hold a Ph.D. from the University of Edinburgh and the Institute for Language, Cognition, and Computation. I also did my B.Sc. in Computer Science at Brown University.
My research spans several areas and methodologies in NLP. I have significant experient in natural language inference (NLI), especially to do with tasks like question answering, and data in the form of structured knowledge (Knowledge Graphs, Entailment Graphs) and unstructured, open-domain text in natural language. I also research Language Model capabilities in textual understanding, and do systematic analyses of their factual hallucination, and strategize mitigations.Recent News:
|04 Nov '23||Our paper, Smoothing Entailment Graphs with Language Models, won the "Best Paper" award at AACL 2023.|
|06 Oct '23||Our paper, Sources of Hallucination by Large Language Models on Inference Tasks, was accepted to EMNLP Findings.|
|06 Oct '23||I defended my Ph.D. thesis, Inference of Natural Language Predicates in the Open Domain.|