Hi, I'm Nick.
Currently, I'm a postdoc in AI code generation at Microsoft Research.
My research spans several areas and methodologies in natural language processing. Most notably, I have investigated techniques in natural language inference (NLI), especially for tasks like question answering. I have been interested in models which complete tasks by drawing on external, human-editable data sources such as structured knowledge (Knowledge Graphs, Entailment Graphs) and unstructured, open-domain text. I am also broadly interested in Language Model capabilities in textual understanding and tool use, and I strategize mitigations for their factual hallucination.
I hold a Ph.D. from the University of Edinburgh and the Institute for Language, Cognition, and Computation, where I was advised by Mark Steedman. I also hold a B.Sc. in Computer Science from Brown University.
Recent News:
| Feb '24 | I started a postdoc position with Microsoft Research, Cambridge. |
| Nov '23 | Our paper, Smoothing Entailment Graphs with Language Models, won the "Best Paper" award at AACL 2023. |
| Oct '23 | Our paper, Sources of Hallucination by Large Language Models on Inference Tasks, was accepted to EMNLP Findings 2023. |
| Oct '23 | I defended my Ph.D. thesis, Inference of Natural Language Predicates in the Open Domain. |