Ian Berlot-Attwell

According to our database, Ian Berlot-Attwell authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

CASSANDRA: Programmatic and Probabilistic Learning and Inference for Stochastic World Modeling.

Panagiotis Lymperopoulos, Abhiramon Rajasekharan, Ian Berlot-Attwell, Stéphane Aroca-Ouellette, Kaheer Suleman

CoRR, January, 2026

Is This LLM Library Learning? Evaluation Must Account For Compute and Behaviour.

Ian Berlot-Attwell, Tobias Sesterhenn, Frank Rudzicz, Xujie Si

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Mini Amusement Parks (MAPs): A Testbed for Modelling Business Decisions.

Stéphane Aroca-Ouellette, Ian Berlot-Attwell, Panagiotis Lymperopoulos, Abhiramon Rajasekharan, Tongqi Zhu, Herin Kang, Kaheer Suleman, Sam Pasupalak

CoRR, November, 2025

A Compute-Matched Re-Evaluation of TroVE on MATH.

Tobias Sesterhenn, Ian Berlot-Attwell, Janis Zenkner, Christian Bartelt

CoRR, July, 2025

LLM Library Learning Fails: A LEGO-Prover Case Study.

Ian Berlot-Attwell, Frank Rudzicz, Xujie Si

CoRR, April, 2025

2024

Library Learning Doesn't: The Curious Case of the Single-Use "Library".

Ian Berlot-Attwell, Frank Rudzicz, Xujie Si

CoRR, 2024

Attribute Diversity Determines the Systematicity Gap in VQA.

Ian Berlot-Attwell, Kumar Krishna Agrawal, Annabelle Michael Carrell, Yash Sharma, Naomi Saphra

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

2022

Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric.

Ian Berlot-Attwell, Frank Rudzicz

Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.

Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto Martinez, Aman Srivastava, KV Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang

CoRR, 2021

Neuro-Symbolic VQA: A review from the perspective of AGI desiderata.

Ian Berlot-Attwell

CoRR, 2021

On the Use of Linguistic Features for the Evaluation of Generative Dialogue Systems.

Ian Berlot-Attwell, Frank Rudzicz

CoRR, 2021

2020

Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP.

John Chen, Ian Berlot-Attwell, Xindi Wang, Safwan Hossain, Frank Rudzicz

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020