no code implementations • 17 Feb 2025 • Karthikeyan K, Michelle Yuan, Elman Mansimov, Katerina Margatina, Anurag Pratik, Daniele Bonadiman, Monica Sunkara, Yi Zhang, Yassine Benajiba
In this study, we investigate how search and model's self-feedback can be leveraged for reasoning tasks.
1 code implementation • 6 Dec 2024 • Raphael Shu, Nilaksh Das, Michelle Yuan, Monica Sunkara, Yi Zhang
For coordination capabilities, we demonstrate the effectiveness of inter-agent communication and payload referencing mechanisms, achieving end-to-end goal success rates of 90%.
no code implementations • 13 Jul 2023 • Samuel Barham, Orion Weller, Michelle Yuan, Kenton Murray, Mahsa Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan Boyd-Graber, Benjamin Van Durme
To foster the development of new models for collaborative AI-assisted report generation, we introduce MegaWika, consisting of 13 million Wikipedia articles in 50 diverse languages, along with their 71 million referenced source materials.
no code implementations • 24 May 2023 • Ishani Mondal, Michelle Yuan, Anandhavelu N, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan Boyd-Graber
Learning template based information extraction from documents is a crucial yet difficult task.
1 code implementation • ACL 2022 • Michelle Yuan, Patrick Xia, Chandler May, Benjamin Van Durme, Jordan Boyd-Graber
Active learning mitigates this problem by sampling a small subset of data for annotators to label.
1 code implementation • EMNLP 2020 • Michelle Yuan, Hsuan-Tien Lin, Jordan Boyd-Graber
Typically, the active learning strategy is contingent on the classification model.
1 code implementation • EMNLP 2020 • Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan Boyd-Graber
Cross-lingual word embeddings transfer knowledge between languages: models trained on high-resource languages can predict in low-resource languages.
1 code implementation • NeurIPS 2018 • Michelle Yuan, Benjamin Van Durme, Jordan L. Ying
Multilingual topic models can reveal patterns in cross-lingual document collections.