Welcome to my personal site! I am a postdoctoral researcher at the Allen Institute for AI, or AI2 for short, working on the Aristo team. I am also affiliated with Prof. Hanna Hajishirzi’s group at the University of Washington. I received my PhD from Georgia Tech in 2022, advised by Prof. Mark Riedl.
CV (last updated 11/10/23)
My research interest is interpretability methods for deep learning applied to natural language processing (NLP). This encompasses three threads:
- defining and standardizing terminology, desiderata, and evaluation methods;
- understanding the strengths and weaknesses of existing models within this framework; and
- designing architectures which address these weaknesses.
Updates
- Fall 2023: Two papers at EMNLP 2023, and giving a keynote at the Big Picture workshop with Sarthak Jain. See you in Singapore!
- Fall 2023: Selected as a Rising Star in EECS.
- Fall 2023: Self-Refine published at NeurIPS.
- Fall 2023: Talks at UC Irvine, UCSD, and USC.
- Summer 2023: Slides and recording (from 7:45) of my keynote at the ACL Natural Language Reasoning and Structured Explanations workshop are available.
- Summer 2023: Awarded an Outstanding Area Chair award (top 1.5% of reviewers and chairs) at ACL 2023.
- Spring 2023: Quoted in this article about language model interpretability.
- Fall 2022: Talks at various NLP groups at the University of Washington (Tsvetshop, H2Lab, and Treehouse).
- Fall 2022: Two Findings papers at EMNLP 2022.
- Fall 2022: Co-organizing the BlackBoxNLP workshop at EMNLP 2022. See you in Abu Dhabi!
- Fall 2022: I am an area chair for EMNLP 2022.
- Fall 2022: Started postdoc at AI2.
- Summer 2022: Paper on generating few-shot free-text explanations at NAACL 2022.
- Summer 2022: I defended my PhD dissertation!
Contact me
Email: wiegreffesarah[at]gmail[dot]com
How to pronounce my last name (click on German left-side audio)
Older Updates
- Spring 2022: Giving a talk at the Oxford NLP reading group.
- Fall 2021: I passed my PhD dissertation proposal!
- Fall 2021: Paper and companion website– a survey on explainable NLP datasets– accepted to NeurIPS 2021 Datasets & Benchmarks.
- Fall 2021: Paper accepted to EMNLP 2021.
- Fall 2021: I am a TA for CS 7650 Natural Language Processing.
- Summer 2021: I am returning to AI2 to intern on the Mosaic team, working with Swabha Swayamdipta, Jack Hessel, and Yejin Choi.
- Summer 2021: Paper at NAACL 2021 Narrative Understanding workshop.
- Spring-Summer 2021: Publicity Co-Chair for NAACL 2021. Checkout our social initiative People of Natural Language Processing; follow us on Twitter (@NAACLHLT) and Weibo (@国际计算语言学年会ACL2021).
- Spring 2021: I gave a (recorded) talk at NLP with Friends.
- Spring 2021: I am a TA for CS 7643 Deep Learning.
- Summer and Fall 2020: I was a research intern at the Allen Institute for AI, working with Noah Smith and Ana Marasović. Awarded the AI2 Outstanding Intern award!
- Summer 2020: Paper at ACL 2020 with collaborators at Northeastern University.
- Spring 2020: Gave a (recorded) talk at the USC/ISI NLP Seminar: “BlackBox NLP: What are we looking for, and where do we stand?”.
- Fall 2019: Presented a poster at WiML 2019.
- Fall 2019: Paper accepted to EMNLP 2019: Attention is not not Explanation. Recorded talk here.
- Fall 2019: I am a TA for CS 7643 Deep Learning taught by Dhruv Batra. Slides from my guest lecture are here.
- Summer 2019: I am a research intern at Google Medical Brain, working with Dr. Edward Choi and Gerardo Flores.
- Summer 2019: Paper accepted at the ACL BioNLP 2019 workshop: Clinical Concept Extraction for Document-Level Coding
- Spring 2019: I passed my qualifying exam! (in intelligent systems: machine learning and NLP subareas)
- Spring 2019: I am a TA for CS 4641 Machine Learning.
- Spring 2019: Attended ACM FAT* 2019 as a student volunteer.
- Summer 2018: I was an intern at Sutter Health working with the Research, Development and Dissemination Team on deep learning models for outcome prediction using text.
- Summer 2018: Attended NAACL in New Orleans as a student volunteer.
- Spring 2018: Paper accepted to NAACL 2018 (Explainable Prediction of Medical Codes from Clinical Text)
- Spring 2018: Attended the CRA-W Graduate Cohort Workshop in San Francisco, CA.