Quantifying the Emergence of Symbolic Communication. - Emily Cheng; Yen-Ling Kuo; Josefina Correa; Boris Katz; Ignacio Cases; Andrei Barbu (CogSci, 2022)

On the Correspondence between Compositionality and Imitation in Emergent Neural Communication. - Emily Cheng; Mathieu Rita; Thierry Poibeau (ACL (Findings), 2023)

Bridging Information-Theoretic and Geometric Compression in Language Models. - Emily Cheng; Corentin Kervadec; Marco Baroni (EMNLP, 2023)

Linearly Controlled Language Generation with Performative Guarantees. - Emily Cheng; Marco Baroni; Carmen Amo Alonso (CoRR, 2024)

Emergence of a High-Dimensional Abstraction Phase in Language Transformers. - Emily Cheng; Diego Doimo; Corentin Kervadec; Iuri Macocco; Jade Yu; Alessandro Laio; Marco Baroni (CoRR, 2024)

Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Models. - Emily Cheng; Richard J. Antonello (CoRR, 2024)

Principles of semantic and functional efficiency in grammatical patterning. - Emily Cheng; Francesca Franzon (CoRR, 2024)

Geometric Signatures of Compositionality Across a Language Model's Lifetime. - Jin Hwa Lee; Thomas Jiralerspong; Lei Yu; Yoshua Bengio; Emily Cheng (ACL (1), 2025)

Emergence of a High-Dimensional Abstraction Phase in Language Transformers. - Emily Cheng; Diego Doimo; Corentin Kervadec; Iuri Macocco; Lei Yu; Alessandro Laio; Marco Baroni (ICLR, 2025)