Recovering Barabási-Albert Parameters of Graphs through Disentanglement. - Cristina Guzman; Daphna Keidar; Tristan Meynier; Andreas Opedal; Niklas Stoehr (CoRR, 2021)

Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang. - Daphna Keidar; Andreas Opedal; Zhijing Jin 001; Mrinmaya Sachan (ACL (1), 2022)

World Models for Math Story Problems. - Andreas Opedal; Niklas Stoehr; Abulhair Saparov; Mrinmaya Sachan (ACL (Findings), 2023)

Efficient Semiring-Weighted Earley Parsing. - Andreas Opedal; Ran Zmigrod; Tim Vieira; Ryan Cotterell; Jason Eisner (ACL (1), 2023)

On the Intersection of Context-Free and Regular Languages. - Clemente Pasti; Andreas Opedal; Tiago Pimentel; Tim Vieira; Jason Eisner; Ryan Cotterell (EACL, 2023)

An Exploration of Left-Corner Transformations. - Andreas Opedal; Eleftheria Tsipidi; Tiago Pimentel; Ryan Cotterell; Tim Vieira (EMNLP, 2023)

Generalized Measures of Anticipation and Responsivity in Online Language Processing. - Mario Giulianelli; Andreas Opedal; Ryan Cotterell (EMNLP (Findings), 2024)

On the Role of Context in Reading Time Prediction. - Andreas Opedal; Eleanor Chodroff; Ryan Cotterell; Ethan Wilcox (EMNLP, 2024)

Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? - Andreas Opedal; Alessandro Stolfo; Haruki Shirakami; Ying Jiao; Ryan Cotterell; Bernhard Schölkopf; Abulhair Saparov; Mrinmaya Sachan (ICML, 2024)

A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior. - Francesco Ignazio Re; Andreas Opedal; Glib Manaiev; Mario Giulianelli; Ryan Cotterell (ACL (1), 2025)

MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs. - Andreas Opedal; Haruki Shirakami; Bernhard Schölkopf; Abulhair Saparov; Mrinmaya Sachan (ICLR, 2025)