Yasaman Razeghi

According to our database, Yasaman Razeghi authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

TurtleBench: A Visual Programming Benchmark in Turtle Geometry.

Sina Rismanchian, Yasaman Razeghi, Sameer Singh, Shayan Doroudi

CoRR, 2024

Nudging: Inference-time Alignment via Model Collaboration.

Yu Fei, Yasaman Razeghi, Sameer Singh

CoRR, 2024

Selective Perception: Learning Concise State Descriptions for Language Model Actors.

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

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

Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Backtracking Mathematical Reasoning of Language Models to the Pretraining Data.

Yasaman Razeghi, Hamish Ivison, Sameer Singh, Yanai Elazar

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Are Models Biased on Text without Gender-related Language?

Catarina G. Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Plot Twist: Multimodal Models Don't Comprehend Simple Chart Details.

Yasaman Razeghi, Ishita Dasgupta, Fangyu Liu, Vinay Ramasesh, Sameer Singh

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Turtle-like Geometry Learning: How Humans and Machines Differ in Learning Turtle Geometry.

Sina Rismanchian, Shayan Doroudi, Yasaman Razeghi

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

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