I am excited about building better language technologies for social good. I like fusing the old with the new, leveraging rich representations learned from big data to model semantics and analyze scientific communications.
Intern, Meta AI (Cognitive AI/Conversational AI Research) (2022)
Intern, Amazon Alexa Web-based QA (2021)
Intern, Amazon Alexa Hybrid Science (2019, 2020)
MS Computer Engineering, Arizona State University (2018–2020)
Advised by Visar Berisha & Sethuraman Panchanathan
BSE Electrical Engineering, Arizona State University (2014–2018)
11/18/2022 The 2022 Southern California NLP Symposium (SoCalNLP22) was a massive success! Co-chairing the program committee and participating in event organization was a great privilege and it was wonderful meeting everybody. Please check out our full event livestream [YouTube Link] and some event photos [Twitter:@m2saxon] [Twitter:@ucsbNLP]!
10/24/2022 Our general-purpose text-reference comparison metric that simulates human preferences for translation and summarization, SEScore, is now available on HuggingFace spaces! Preprint here: [arXiv:2210.05035]
10/12/2022 Our work "Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis" will appear in Findings of EMNLP 2022! Preprint here: [arXiv:2210.05035]
10/12/2022 Check out the latest preprint of my work "PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers" on arXiv! We demonstrated automated detection of spurious, annotator-driven correlations that lead to cheating features in NLI. Preprint here: [arXiv:2112.09237]
6/6/2022 Excited to start my 2022 AI Research Scientist Internship at Meta in Menlo Park!
12/3/2021 Our work "Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer" will appear at AAAI 2022! Preprint here: [arXiv:2110.02950]
10/1/2021 Our work "Counterfactual Maximum Likelihood Estimation for Training Deep Networks" will appear at NeurIPS 2021! Preprint here: [arXiv:2106.03831]
9/23/2021 Our work "Modeling Disclosive Transparency in NLP Application Descriptions" will appear at EMNLP 2021 as an oral presentation! Preprint here: [arXiv:2101.00433]
9/13/2021 I was profiled on the Amazon Science Blog about my experience doing multiple applied science internships with the company! Article here: [amazon.science]