A Theoretical Result on the Inductive Bias of RNN Language Models. - Anej Svete; Robin Shing Moon Chan; Ryan Cotterell (CoRR, 2024)

Interactive Analysis of LLMs using Meaningful Counterfactuals. - Furui Cheng; Vilém Zouhar; Robin Shing Moon Chan; Daniel Fürst; Hendrik Strobelt; Mennatallah El-Assady (CoRR, 2024)

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. - Nadav Borenstein; Anej Svete; Robin Shing Moon Chan; Josef Valvoda; Franz Nowak; Isabelle Augenstein; Eleanor Chodroff; Ryan Cotterell (CoRR, 2024)

Finding Needles in Document Haystacks: Augmenting Serendipitous Claim Retrieval Workflows. - Moritz Dück; Steffen Holter; Robin Shing Moon Chan; Rita Sevastjanova; Mennatallah El-Assady (CHI, 2025)

A Design Space for Intelligent Dialogue Augmentation. - Robin Shing Moon Chan; Anne Marx; Alison Kim; Mennatallah El-Assady (IUI, 2025)