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Yasaman Razeghi
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2020 – today
- 2024
- [c10]Sina Rismanchian, Shayan Doroudi, Yasaman Razeghi:
Turtle-like Geometry Learning: How Humans and Machines Differ in Learning Turtle Geometry. AAAI Spring Symposia 2024: 586-587 - [c9]Yasaman Razeghi, Ishita Dasgupta, Fangyu Liu, Vinay Ramasesh, Sameer Singh:
Plot Twist: Multimodal Models Don't Comprehend Simple Chart Details. EMNLP (Findings) 2024: 5922-5937 - [c8]Catarina G. Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh:
Are Models Biased on Text without Gender-related Language? ICLR 2024 - [c7]Yasaman Razeghi, Hamish Ivison, Sameer Singh, Yanai Elazar:
Backtracking Mathematical Reasoning of Language Models to the Pretraining Data. Tiny Papers @ ICLR 2024 - [c6]Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh:
Selective Perception: Learning Concise State Descriptions for Language Model Actors. NAACL (Short Papers) 2024: 327-341 - [c5]Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh:
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning. NAACL (Short Papers) 2024: 399-432 - [i8]Catarina G. Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh:
Are Models Biased on Text without Gender-related Language? CoRR abs/2405.00588 (2024) - [i7]Yu Fei, Yasaman Razeghi, Sameer Singh:
Nudging: Inference-time Alignment via Model Collaboration. CoRR abs/2410.09300 (2024) - [i6]Sina Rismanchian, Yasaman Razeghi, Sameer Singh, Shayan Doroudi:
TurtleBench: A Visual Programming Benchmark in Turtle Geometry. CoRR abs/2411.00264 (2024) - 2023
- [i5]Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh:
Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors. CoRR abs/2307.11922 (2023) - [i4]Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh:
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning. CoRR abs/2309.10687 (2023) - 2022
- [c4]Yasaman Razeghi, Raja Sekhar Reddy Mekala, Robert L. Logan IV, Matt Gardner, Sameer Singh:
Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance. EMNLP (Demos) 2022: 389-395 - [c3]Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh:
Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning. EMNLP (Findings) 2022: 840-854 - [i3]Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh:
Impact of Pretraining Term Frequencies on Few-Shot Reasoning. CoRR abs/2202.07206 (2022) - [i2]Henrique Santos, Ke Shen, Alice M. Mulvehill, Yasaman Razeghi, Deborah L. McGuinness
, Mayank Kejriwal:
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense. CoRR abs/2203.12184 (2022) - 2021
- [c2]Yasaman Razeghi, Kalev Kask, Yadong Lu, Pierre Baldi, Sakshi Agarwal, Rina Dechter:
Deep Bucket Elimination. IJCAI 2021: 4235-4242 - 2020
- [c1]Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, Sameer Singh:
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts. EMNLP (1) 2020: 4222-4235 - [i1]Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, Sameer Singh:
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts. CoRR abs/2010.15980 (2020)
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last updated on 2024-12-11 20:46 CET by the dblp team
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