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Dan Friedman
Dan Friedman
Bestätigte E-Mail-Adresse bei princeton.edu - Startseite
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Zitiert von
Zitiert von
Jahr
Factual probing is [mask]: Learning vs. learning to recall
Z Zhong, D Friedman, D Chen
arXiv preprint arXiv:2104.05240, 2021
2822021
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
1892019
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
1892019
Syntax-aware neural semantic role labeling with supertags
J Kasai, D Friedman, R Frank, D Radev, O Rambow
arXiv preprint arXiv:1903.05260, 2019
442019
Single-dataset experts for multi-dataset question answering
D Friedman, B Dodge, D Chen
arXiv preprint arXiv:2109.13880, 2021
232021
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
212023
The vendi score: A diversity evaluation metric for machine learning
D Friedman, AB Dieng
arXiv preprint arXiv:2210.02410, 2022
192022
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
172023
Learning transformer programs
D Friedman, A Wettig, D Chen
Advances in Neural Information Processing Systems 36, 2024
72024
Finding dataset shortcuts with grammar induction
D Friedman, A Wettig, D Chen
arXiv preprint arXiv:2210.11560, 2022
72022
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
42017
What Spurious Features Can Pretrained Language Models Combat?
C Si, D Friedman, N Joshi, S Feng, D Chen, H He
22022
Interpretability Illusions in the Generalization of Simplified Models
D Friedman, A Lampinen, L Dixon, D Chen, A Ghandeharioun
arXiv preprint arXiv:2312.03656, 2023
12023
Comparing Representational and Functional Similarity in Small Transformer Language Models
D Friedman, AK Lampinen, L Dixon, D Chen, A Ghandeharioun
UniReps: the First Workshop on Unifying Representations in Neural Models, 2023
2023
Algorithms for Codenames
D Friedman, A Panigrahi
2021
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