Robin Shing Moon Chan

According to our database, Robin Shing Moon Chan authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

Ensembling Language Models with Sequential Monte Carlo.

Robin Shing Moon Chan, Tianyu Liu, Samuel Kiegeland, Clemente Pasti, Jacob Hoover Vigly, Timothy J. O'Donnell, Ryan Cotterell, Tim Vieira

CoRR, March, 2026

Understanding Large Language Model Behaviors Through Interactive Counterfactual Generation and Analysis.

Furui Cheng, Vilém Zouhar, Robin Shing Moon Chan, Daniel Fürst, Hendrik Strobelt, Mennatallah El-Assady

IEEE Trans. Vis. Comput. Graph., January, 2026

PleaSQLarify: Visual Pragmatic Repair for Natural Language Database Querying.

Robin Shing Moon Chan, Rita Sevastjanova, Mennatallah El-Assady

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

A Design Space for Intelligent Dialogue Augmentation.

Robin Shing Moon Chan, Anne Marx, Alison Kim, Mennatallah El-Assady

Proceedings of the 30th International Conference on Intelligent User Interfaces, 2025

Finding Needles in Document Haystacks: Augmenting Serendipitous Claim Retrieval Workflows.

Moritz Dück, Steffen Holter, Robin Shing Moon Chan, Rita Sevastjanova, Mennatallah El-Assady

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

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

A Theoretical Result on the Inductive Bias of RNN Language Models.

Anej Svete, Robin Shing Moon Chan, Ryan Cotterell

CoRR, 2024

On Affine Homotopy between Language Encoders.

Robin Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Adapting LLMs for Structured Natural Language API Integration.

Robin Chan, Katsiaryna Mirylenka, Thomas Gschwind, Christoph Miksovic, Paolo Scotton, Enrico Toniato, Abdel Labbi

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

On Efficiently Representing Regular Languages as RNNs.

Anej Svete, Robin Chan, Ryan Cotterell

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

Computational Expressivity of Neural Language Models.

Alexandra Butoi, Robin Chan, Ryan Cotterell, William Merrill, Franz Nowak, Clemente Pasti, Lena Strobl, Anej Svete

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts), 2024

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages.

Nadav Borenstein, Anej Svete, Robin Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals.

Robin Chan, Afra Amini, Mennatallah El-Assady

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2023