| Sep 11, 2023 | Honored to receive the Intel Rising Stars Award in 2023! |
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| Jun 23, 2023 | Taught NLP and Language Models to high-school students via USC Viterbi K-12 Discover Engineering. Slides adapted from Greg Durrett (thanks!). |
| May 26, 2023 | Made an appearance on ABC7 Live where I talked about the impact of AI. |
| May 9, 2023 | New preprint on NeuroComparatives now available! |
| May 2, 2023 | Three papers accepted to ACL 2023: REV and I2D2 at the main conference and COBRA to Findings. |
| Apr 27, 2023 | New Preprint on Ambiguity in natural language and how LLMs handle it: AMBIENT. |
| Apr 5, 2023 | Got invited as a speaker at the USC Sidney Harmon Academy for Polymathic Studies for a discussion with Kate Crawford on AImaginings, a discussion on AI’s potential to memorize and imagine. |
| Feb 28, 2023 | Got featured in an USC Viterbi news article on ChatGPT. |
| Feb 28, 2023 | Gave an invited talk on Designing Controls and Filters for Dataset Generation at Spotify Research Seminar. |
| Feb 3, 2023 | Gave an invited talk on Interpreting datasets to enable better data creationat the Data-Centric AI seminar series at Amazon. |
| Feb 1, 2023 | Gave an invited talk on Contextualizing Bias in Hate Speech Detection at the CAIS++ Seminar. |
| Jan 20, 2023 | Submitted four long papers to ACL along with collaborators from AI2, UW, CMU and Intel. |
| Dec 10, 2022 | Taught a class on Data-Centric Machine Learning at the Online Asian Machine Learning School (OAMLS) at ACML 2022. |
| Nov 29, 2022 | Heading over to EMNLP 2022 in Abu Dhabi next week, hope to meet lots of old and new friends! |
| Nov 21, 2022 | Was interviewed by the MIT Technology Review on dataset quantity and quality: read the coverage here. |
| Nov 18, 2022 | Attended the SoCalNLP Symposium hosted by UCSB, along with the DILL Lab. Gave an invited talk on my research on generating datasets! |
| Nov 9, 2022 | Gave an invited talk at the USC CAIS Seminar on my research on Hate Speech Detection - watch it here! |
| Nov 8, 2022 | Presented an overview of my research to the USC Viterbi CS Department Advisory Board. |
| Oct 6, 2022 | Three papers accepted to EMNLP / Findings: WaNLI, NeuroCounterfactuals and Investigating Free-Form Rationales. |
| Aug 22, 2022 | Started teaching my first class: CSCI 699 - Data-Centric NLP. |
| Aug 16, 2022 | Started as an Assistant Professor of Computer Science at USC Viterbi School of Engineering, where I’m launching the DILL Lab. |
| Jul 29, 2022 | Last day as a Young Investigator at AI2… I’ll miss being here but so excited about USC! |
| Jul 19, 2022 | Super thrilled to receive an outstanding paper award at ICML 2022 for our work on V-info! |
| Jul 17, 2022 | Attending ICML 2022 virtually, where Kawin be presenting our work on understanding dataset difficulty. |
| Jul 14, 2022 | Had a blast serving as a panelist in the DADC workshop at NAACL. Also our DeepLo 2022 Workshop was quite successful! |
| Jul 10, 2022 | Attending NAACL 2022, where we’ll be presenting Reframing Human-AI Collaboration and Annotators with Attitudes. |
| Jun 17, 2022 | Served as a panelist on the Responsible AI Symposium 2022 for AILA. |
| May 23, 2022 | Honored to have been voted as an invited speaker for ACL STIRS, where I presented my work on datasets! |
| May 15, 2022 | Paper on Dataset Difficulty with my former intern, Kawin Ethayarajh, now accepted at ICML as a long presentation. |
| May 13, 2022 | Had a wonderful time visiting UC Irvine at the CS Seminar; first in-person invited talk for me in a long time! |
| Apr 15, 2022 | We hired a brilliant new incoming cohort of PhD students at USC NLP for Fall 2022! More details soon! |
| Apr 7, 2022 | Two upcoming papers at NAACL: Annotators with Attitudes and Reframing Human-AI Collaboration for Generating Free-Text Explanations. |
| Mar 16, 2022 | Excited to present work on Dataset Construction at IFDS Ethics Seminar and at MilaNLP’s Coding Aperitivo this week. |
| Jan 15, 2022 | New preprint on WaNLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. |
| Dec 16, 2021 | New preprint on Human-AI Collaboration for Generating Free-Text Explanations with Jack Hessel and our intern, Sarah Wiegreffe. |
| Nov 30, 2021 | 🏆 Our paper on MAUVE received an outstanding paper award at NeurIPS 2021 making it one of 6 papers out of 9K submissions! |
| Nov 21, 2021 | The third edition DeepLo for NLP workshop to be collocated with NAACL 2022. |
| Nov 15, 2021 | New preprint on Annotators with Attitudes, presented at the Text as Data conference. |
| Oct 20, 2021 | Invited virtual talk at the Machine Learning Research Group at Oracle. |
| Oct 15, 2021 | New preprint on Information-Theoretic Measures of Dataset Difficulty with my intern, Kawin Ethayarajh. |
| Oct 12, 2021 | Attended the Trustworthy NLP Workshop at Google. |
| Sep 28, 2021 | Paper on MAUVE, an Information Divergence Measure between Neural Text and Human Text, accepted as a NeurIPS 2021 oral! |
| Sep 13, 2021 | Paper on Data Augmentation for Frame-SRL, based on a pre-posal with Miriam R. L. Petruck to appear at the LAW-DMR workshop at EMNLP 2021. |
| Sep 7, 2021 | Abstract on Biases in Toxic Language Detection:The Role of Annotator Beliefs And Demographics accepted to Text As Data 2021. Full paper coming soon! |
| Aug 26, 2021 | Paper with my intern, Alon Jacovi, on Contrastive Explanations for Model Interpretability to appear at EMNLP 2021. |
| May 5, 2021 | Paper on On-the-Fly Controlled Text Generation with Experts and Anti-Experts to appear at ACL 2021. |
| Mar 4, 2021 | Guest lecture on Transfer Learning at UW Stats: UW DATA 598 Statistical Deep Learning, taught by Zaid Harachoui. |
| Mar 1, 2021 | Check out our new pre-print on contrastive explanations for model decisions! Work with my intern Alon Jacovi and others! |
| Feb 24, 2021 | Talk at the NERT Seminar at Georgetown University! So honored to be an elected speaker :) |
| Feb 12, 2021 | Invited talk at the NLP Seminar at Georgia Tech! |
| Feb 3, 2021 | Check out our new pre-print on an evaluation metric for open-ended text generation, MAUVE ! |
| Feb 1, 2021 | New ACL submission on controlled generation, with exciting applications. Keep an eye out! |
| Jan 11, 2021 | Paper on Challenges in Social Bias Mitigation in Hate Speech Detection to appear at EACL 2021! |
| Dec 3, 2020 | Guest lecture in Eunsol Choi’s Topics in NLP class at UT Austin on Biases and Interpretability. |
| Nov 2, 2020 | Was delighted to be an invited speaker for Responsible AI at the Microsoft E+D Product Leaders Conference. |
| Sep 15, 2020 | Paper on Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics is now accepted to the Proceedings of EMNLP, and GDaug is accepted to Findings of EMNLP. |
| Aug 13, 2020 | Completed one year as a postdoctoral investigator at AI2! |
| Jul 8, 2020 | Our paper Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks received an Honorable Mention Award at ACL 2020! |
| Jun 3, 2020 | New submission to EMNLP finally done, shoot me an email if you’d like to learn more. |
| May 31, 2020 | Our paper on Adversarial Filters of Dataset Biases has been accepted to ICML! |
| Apr 11, 2020 | New EMNLP preprint on Generative Data Augmentation for Commonsense Reasoning, or G-DAUG now available on arXiv. |
| Apr 3, 2020 | Two papers accepted to ACL! Kudos to my wonderful collaborators on Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks and The Right Tool for the Job: Matching Model and Instance Complexities. |
| Feb 2, 2020 | New preprint on Adversarial Filters of Dataset Biases now available on arXiv. |
| Oct 17, 2019 | Invited talk at the UW Linguistics Colloquium on Oct 18, 2019. |
| Oct 2, 2019 | Got selected to attend the Rising Stars in EECS workshop at the University of Illinois at Urbana-Champaign from Oct 29 - Nov 1, 2019. |
| Sep 25, 2019 | Submitted our latest paper to ICLR 2020. |
| Aug 13, 2019 | Joined AI2 as a Postdoctoral Young Investigator. |
| Jun 2, 2019 | Presented our tutorial on Transfer Learning in Natural Language Processing at NAACL 2019 in Minnesota. |
| May 8, 2019 | Defended my PhD thesis! |