news

Sep 20, 2024 Our new paper “On the Relationship between Truth and Political Bias in Language Models” has been accepted for a main-conference presentation at EMNLP 2024!
Aug 15, 2024 I presented our work “ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings” at TextGraphs 2024, hosted this year at ACL in Bangkok.
Jul 18, 2024 Our paper “The speed of news in Twitter (X) versus radio” was presented at this year’s IC2S2! Check out a recorded version of the talk here.
Jul 10, 2024 Our paper “A Large-Scale Audit of Dataset Licensing and Attribution in AI” has been accepted at Nature Machine Intelligence! This paper represents the first phase of work on the Data Provenance Initiative.
Jul 02, 2024 CSCW 2024 has accepted our paper “Bridging Dictionary: AI-Generated Dictionary of Partisan Language Use.”
Jul 02, 2024 Our new paper, “AudienceView: AI-Assisted Interpretation of Audience Feedback in Journalism,” has been accepted at CSCW 2024! Check out the deployed demo at frontline.ccc-mit.org.
Jun 17, 2024 New accepted paper! Our work “ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings” will appear at TextGraphs 2024, hosted this year at ACL.
Jun 06, 2024 Our position paper, “Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?” has been selected as a spotlight paper (top 3\%) at ICML 2024!
May 10, 2024 Our paper “The speed of news in Twitter (X) versus radio” has been accepted at Scientific Reports!
May 01, 2024 New paper! ICML 2024 has accepted our paper “Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?.”
Oct 30, 2023 Our entry in MIT’s IGNITE Generative AI Entrepreneurship Competition placed as a finalist, winning a $5,000 award.
Sep 01, 2023 MIT has selected our work on the Data Provenance Initiative for a Generative AI Impact Award. The award includes $70,000 of research funding.
Jul 11, 2023 Our paper Dubbing in Practice was presented at this year’s ACL.
Dec 13, 2022 TACL has accepted our paper “Dubbing in Practice: A Large-Scale Study of Human Localization With Insights for Automatic Dubbing”!