| Factual probing is [mask]: Learning vs. learning to recall Z Zhong, D Friedman, D Chen arXiv preprint arXiv:2104.05240, 2021 | 241 | 2021 |
| Scisummnet: A large annotated corpus and content-impact models for scientific paper summarization with citation networks M Yasunaga, J Kasai, R Zhang, AR Fabbri, I Li, D Friedman, DR Radev Proceedings of the AAAI conference on artificial intelligence 33 (01), 7386-7393, 2019 | 182 | 2019 |
| Scisummnet: A large annotated corpus and content-impact models for scientific paper summarization with citation networks M Yasunaga, J Kasai, R Zhang, AR Fabbri, I Li, D Friedman, DR Radev Proceedings of the AAAI conference on artificial intelligence 33 (01), 7386-7393, 2019 | 182 | 2019 |
| Syntax-aware neural semantic role labeling with supertags J Kasai, D Friedman, R Frank, D Radev, O Rambow arXiv preprint arXiv:1903.05260, 2019 | 43 | 2019 |
| Single-dataset experts for multi-dataset question answering D Friedman, B Dodge, D Chen arXiv preprint arXiv:2109.13880, 2021 | 21 | 2021 |
| The vendi score: A diversity evaluation metric for machine learning D Friedman, AB Dieng arXiv preprint arXiv:2210.02410, 2022 | 12 | 2022 |
| Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations C Si, D Friedman, N Joshi, S Feng, D Chen, H He arXiv preprint arXiv:2305.13299, 2023 | 11 | 2023 |
| Embers of autoregression: Understanding large language models through the problem they are trained to solve RT McCoy, S Yao, D Friedman, M Hardy, TL Griffiths arXiv preprint arXiv:2309.13638, 2023 | 6 | 2023 |
| Finding dataset shortcuts with grammar induction D Friedman, A Wettig, D Chen arXiv preprint arXiv:2210.11560, 2022 | 5 | 2022 |
| Linguistically rich vector representations of supertags for TAG parsing D Friedman, J Kasai, RT McCoy, R Frank, F Davis, O Rambow Proceedings of the 13th International Workshop on Tree Adjoining Grammars …, 2017 | 4 | 2017 |
| Learning Transformer Programs D Friedman, A Wettig, D Chen arXiv preprint arXiv:2306.01128, 2023 | 2 | 2023 |
| What Spurious Features Can Pretrained Language Models Combat? C Si, D Friedman, N Joshi, S Feng, D Chen, H He | 2 | 2022 |
| Algorithms for Codenames D Friedman, A Panigrahi | | 2021 |
