Poster
in
Workshop: Compositional Learning: Perspectives, Methods, and Paths Forward
Compositional Communication with LLMs and Reasoning about Chemical Structures
Sarathkrishna Swaminathan · Dmitry Zubarev
Keywords: [ Referential Games ] [ Chemistry ] [ Reasoning ] [ Compositionality ] [ Multi-agent Learning ]
Compositionality of communication is a prerequisite for robust reasoning. Despite overall impressive performance, LLMs appear to have fundamental issues with compositionality in reasoning tasks. Research of the emergence of languages in referential games demonstrates that compositionality can be achieved via combination of the game organization and constraints on communication protocols. In this contribution we propose and offer initial evaluation of the hypothesis that compositionality in reasoning tasks with LLMs can be improved by placing LLM agents in the referential games that coax compositionality of the communication. We describe a multi-stage chemical game including recognition, naming, and reconstruction of chemical structures by LLM agents without leveraging their pre-existing chemical knowledge.