talks
A brief biosketch for invited talks.
invited talks
- (Upcoming) AI Seminar at USC ISI
- May 3, 2024
- NSF-OSGAI Workshop at Cornell Tech
- Data Science Seminar at the University of Utah
- Understanding LLMs through their Generative Behavior, Successes and Shortcomings
- Mar 13, 2024
- Intel Rising Stars Talk
- LLM Inference for Scaling Data Creation
- Feb 13, 2024
- LTL Seminar at Cambridge
- Keynote: ATTRIB Workshop @ NeurIPS 2023
- UCLA Communications Symposium
- Keynote: Towards the Next Generation of Computer Vision Datasets Workshop @ ICCV 2023
- Understanding Data with đť’±-Information
- Oct 3, 2023
- Los Angeles County of Education Computer Science Speaker Series
- The Role of Language Models in Natural Language Processing
- Sep 22, 2023
- Alumni Keynote: CMU LTI Student Research Symposium
- Keynote: Rep4NLP Workshop @ ACL 2023
- Google Responsible Machine Learning
- Contextualizing Data in Varied Annotator Perspectives
- June 14, 2023
- Cohere for AI
- Understanding Dataset Difficulty with đť’±-Usable Information
- Mar 14, 2023
- Spotify Research
- Designing Controls and Filters for Dataset Generation
- Feb 28, 2023
- Amazon Data-Centric AI
- CAIS++ Seminar
- Contextualizing Bias in Hate Speech Detection
- Feb 1, 2023
- SoCal NLP Symposium
- Generating Datasets for Robust Generalization
- Nov 18, 2022
- USC Center for AI in Society (CAIS) Seminar
- USC Viterbi Computer Science Department Advisory Board
- Overview of Research: Data-Centric NLP
- Nov 8, 2022
- Keynote: ACL Spotlight Talks for Young Rising Stars
- UC-Irvine CS Seminar
- Mapping and Generating Datasets for Robust Generalization
- May 13, 2022
- IFDS Ethics Seminar @ UCSC
- Rethinking Dataset Construction: : The Role of Generative Modeling and Annotator Perspectives
- Mar 16, 2022
- Machine Learning Research Group @ Oracle
- What’s in your Data? Mapping Datasets and Exploring Data Usability
- Oct 20, 2021
- NERT Seminar @ Georgetown University
- Addressing Biases for Robust, Generalizable AI
- Feb 24, 2020
- NLP Seminar @ Georgia Tech
- Addressing Biases for Robust, Generalizable AI
- Feb 12, 2020
- E+D Product Leads Conference: Microsoft (Virtual)
- Addressing Bias in Datasets and Models
- Nov 2, 2020
- Rising Stars in EECS: University of Illinois, Urbana-Champaign.
- Biases and Learning Challenges in Natural Language Processing
- Oct 30, 2019
- Colloquium: Department of Linguistics, University of Washington
- AI2 Seminar: Allen Institute for AI
- Stanford NLP Seminar: Stanford University
- Learning Challenges in Natural Language Processing
- Apr 4, 2019
- JHU CLSP Seminar: Johns Hopkins University, Baltimore
- Learning Challenges in Natural Language Processing
- Mar 13, 2019
- CILVR Seminar New York University, New York
- Learning Challenges in Natural Language Processing
- Mar 11, 2019
- Seminar, Microsoft Research, Redmond
- Learning Challenges in Natural Language Processing
- Jan 22, 2019
- AI Breakthroughs Workshop, Microsoft Research, Redmond
- Representation Learning with Linguistic Structure
- Sep 15, 2018
- NorthWest NLP: Microsoft Research, Redmond
- Syntactic Scaffolds for Semantic Structures
- Apr 27, 2018
panels
- Limitations of Large Language Models at the RepL4NLP Workshop @ ACL 2023
- Jul 13, 2023
- Generative AI and Education Roundtable @ ASEE 2023
- Jun 29, 2023
- AImaginings for USC Sidney Harmon Academy for Polymathic Studies: Polymathic Pizza (with Kate Crawford)
- Apr 5, 2023
- DADC Workshop @ NAACL 2022
- Jul 14, 2022
- Responsible AI Symposium 2022 for AILA
- Jun 17, 2022