Yasaman Razeghi

According to our database, Yasaman Razeghi authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning.

Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh

CoRR, 2023

Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors.

Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh

CoRR, 2023

2022

A Theoretically Grounded Benchmark for Evaluating Machine Commonsense.

Henrique Santos, Ke Shen, Alice M. Mulvehill, Yasaman Razeghi, Deborah L. McGuinness, Mayank Kejriwal

CoRR, 2022

Impact of Pretraining Term Frequencies on Few-Shot Reasoning.

Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh

CoRR, 2022

Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance.

Yasaman Razeghi, Raja Sekhar Reddy Mekala, Robert L. Logan IV, Matt Gardner, Sameer Singh

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning.

Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Deep Bucket Elimination.

Yasaman Razeghi, Kalev Kask, Yadong Lu, Pierre Baldi, Sakshi Agarwal, Rina Dechter

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.

Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, Sameer Singh

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020