Yasaman Razeghi
Cited by
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Autoprompt: Eliciting knowledge from language models with automatically generated prompts
T Shin, Y Razeghi, RL Logan IV, E Wallace, S Singh
arXiv preprint arXiv:2010.15980, 2020
Impact of pretraining term frequencies on few-shot reasoning
Y Razeghi, RL Logan IV, M Gardner, S Singh
arXiv preprint arXiv:2202.07206, 2022
Deep bucket elimination
Y Razeghi, K Kask, Y Lu, P Baldi, S Agarwal, R Dechter
International Joint Conference of Artificial Intelligence {ijcai}, 2021
Robert L
T Shin, Y Razeghi
Logan IV au2, Eric Wallace, and Sameer Singh, 2020
Selective perception: Optimizing state descriptions with reinforcement learning for language model actors
K Nottingham, Y Razeghi, K Kim, JB Lanier, P Baldi, R Fox, S Singh
arXiv preprint arXiv:2307.11922, 2023
A theoretically grounded benchmark for evaluating machine commonsense
H Santos, K Shen, AM Mulvehill, Y Razeghi, DL McGuinness, M Kejriwal
arXiv preprint arXiv:2203.12184, 2022
Are Models Biased on Text without Gender-related Language?
CG Belém, P Seshadri, Y Razeghi, S Singh
arXiv preprint arXiv:2405.00588, 2024
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning
RR Mekala, Y Razeghi, S Singh
arXiv preprint arXiv:2309.10687, 2023
Snoopy: An online interface for exploring the effect of pretraining term frequencies on few-shot lm performance
Y Razeghi, RSR Mekala, RL Logan Iv, M Gardner, S Singh
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
Deriving Behavioral Tests from Common Sense Knowledge Graphs
Y Logan IV, S Singh
Association for the Advancement of Artificial Intelligence, 2021
Turtle-like Geometry Learning: How Humans and Machines Differ in Learning Turtle Geometry
S Rismanchian, S Doroudi, Y Razeghi
Proceedings of the AAAI Symposium Series 3 (1), 586-587, 2024
Deep Bucket Elimination
R Dechter, Y Razeghi, Y Lu, P Baldi, K Kask
Backtracking Mathematical Reasoning of Language Models to the Pretraining Data
Y Razeghi, H Ivison, S Singh, Y Elazar
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