Modelling the Emergence of Positional Compositional Structure. - Henry Coxe-Conklin; Stella Frank; Robert Truswell; Kenny Smith (CogSci, 2020)

Meta-Learning to Compositionally Generalize. - Henry Conklin; Bailin Wang; Kenny Smith; Ivan Titov 001 (ACL/IJCNLP (1), 2021)

Intertwining Generalization and Memorization. - Henry Coxe-Conklin; Kenny Smith (CogSci, 2022)

Anaphoric Structure Emerges Between Neural Networks. - Nicholas Edwards; Hannah Rohde; Henry Coxe-Conklin (CogSci, 2023)

Compositionality with Variation Reliably Emerges in Neural Networks. - Henry Conklin; Kenny Smith (ICLR, 2023)

Compositional Generalization Across Distributional Shifts with Sparse Tree Operations. - Paul Soulos; Henry Conklin; Mattia Opper; Paul Smolensky; Jianfeng Gao 001; Roland Fernandez (NeurIPS, 2024)

Representations as Language: An Information-Theoretic Framework for Interpretability. - Henry Conklin; Kenny Smith (CoRR, 2024)

Command A: An Enterprise-Ready Large Language Model. - Aakanksha; Arash Ahmadian; Marwan Ahmed; Jay Alammar; Milad Alizadeh; Yazeed Alnumay; Sophia Althammer; Arkady Arkhangorodsky; Viraat Aryabumi; Dennis Aumiller; Raphaël Avalos; Zahara Aviv; et al. (CoRR, 2025)

Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers. - Andrew Nam; Henry Conklin; Yukang Yang; Thomas L. Griffiths 001; Jonathan D. Cohen 003; Sarah-Jane Leslie (CoRR, 2025)

Information Structure in Mappings: An Approach to Learning, Representation, and Generalisation. - Henry Conklin (CoRR, 2025)