AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts. - Taylor Shin; Yasaman Razeghi; Robert L. Logan IV; Eric Wallace; Sameer Singh 001 (EMNLP (1), 2020)

Deep Bucket Elimination. - Yasaman Razeghi; Kalev Kask; Yadong Lu; Pierre Baldi; Sakshi Agarwal; Rina Dechter (IJCAI, 2021)

Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning. - Yasaman Razeghi; Robert L. Logan IV; Matt Gardner 001; Sameer Singh 001 (EMNLP (Findings), 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 001; Sameer Singh 001 (EMNLP (Demos), 2022)

Impact of Pretraining Term Frequencies on Few-Shot Reasoning. - Yasaman Razeghi; Robert L. Logan IV; Matt Gardner 001; Sameer Singh 001 (CoRR, 2022)

A Theoretically Grounded Benchmark for Evaluating Machine Commonsense. - Henrique Santos 002; Ke Shen 003; Alice M. Mulvehill; Yasaman Razeghi; Deborah L. McGuinness; Mayank Kejriwal (CoRR, 2022)

Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors. - Kolby Nottingham; Yasaman Razeghi; Kyungmin Kim 002; JB Lanier; Pierre Baldi; Roy Fox; Sameer Singh 001 (CoRR, 2023)

Turtle-like Geometry Learning: How Humans and Machines Differ in Learning Turtle Geometry. - Sina Rismanchian; Shayan Doroudi; Yasaman Razeghi (AAAI Spring Symposia, 2024)

Plot Twist: Multimodal Models Don't Comprehend Simple Chart Details. - Yasaman Razeghi; Ishita Dasgupta 001; Fangyu Liu; Vinay Ramasesh; Sameer Singh 001 (EMNLP (Findings), 2024)

Are Models Biased on Text without Gender-related Language? - Catarina G. Belém; Preethi Seshadri; Yasaman Razeghi; Sameer Singh 001 (ICLR, 2024)

Backtracking Mathematical Reasoning of Language Models to the Pretraining Data. - Yasaman Razeghi; Hamish Ivison; Sameer Singh 001; Yanai Elazar (Tiny Papers @ ICLR, 2024)

EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning. - Raja Sekhar Reddy Mekala; Yasaman Razeghi; Sameer Singh 001 (NAACL (Short Papers), 2024)

Selective Perception: Learning Concise State Descriptions for Language Model Actors. - Kolby Nottingham; Yasaman Razeghi; Kyungmin Kim 002; JB Lanier; Pierre Baldi; Roy Fox; Sameer Singh 001 (NAACL (Short Papers), 2024)

Nudging: Inference-time Alignment via Model Collaboration. - Yu Fei; Yasaman Razeghi; Sameer Singh 001 (CoRR, 2024)

Nudging: Inference-time Alignment of LLMs via Guided Decoding. - Yu Fei; Yasaman Razeghi; Sameer Singh 001 (ACL (1), 2025)

TurtleBench: A Visual Programming Benchmark in Turtle Geometry. - Sina Rismanchian; Yasaman Razeghi; Sameer Singh 001; Shayan Doroudi (NAACL (Long Papers), 2025)