@inproceedings{madmoun-lahlou-2026-communication,
title = "Communication Enables Cooperation in {LLM} Agents: A Comparison with Curriculum-Based Approaches",
author = "Madmoun, Hachem and
Lahlou, Salem",
editor = "Demberg, Vera and
Inui, Kentaro and
Marquez, Llu{\'i}s",
booktitle = "Proceedings of the 19th Conference of the {E}uropean Chapter of the {A}ssociation for {C}omputational {L}inguistics (Volume 2: Short Papers)",
month = mar,
year = "2026",
address = "Rabat, Morocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.eacl-short.23/",
pages = "307--321",
ISBN = "979-8-89176-381-4",
abstract = "Eliciting cooperation in multi-agent LLM systems is critical for AI alignment. We investigate two approaches: direct communication and curriculum learning. In a 4-player Stag Hunt, a one-word ``cheap talk'' channel increases cooperation from 0{\%} to 48.3{\%}, demonstrating communication as a robust coordination mechanism. In contrast, we find that curriculum learning is highly sensitive to design choices: our pedagogical curriculum through progressively complex games reduced agent payoffs by 27.4{\%} in an Iterated Public Goods Game with Punishment. Qualitative analysis reveals that curricula emphasizing defection-equilibrium games can induce ``learned pessimism'' in agents. These findings suggest that for coordination problems, simple communication protocols may be more reliable than experience-based training, and that curriculum design for social dilemmas requires careful attention to the strategic lessons embedded in game sequences."
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%0 Conference Proceedings
%T Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches
%A Madmoun, Hachem
%A Lahlou, Salem
%Y Demberg, Vera
%Y Inui, Kentaro
%Y Marquez, Lluís
%S Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-381-4
%F madmoun-lahlou-2026-communication
%X Eliciting cooperation in multi-agent LLM systems is critical for AI alignment. We investigate two approaches: direct communication and curriculum learning. In a 4-player Stag Hunt, a one-word “cheap talk” channel increases cooperation from 0% to 48.3%, demonstrating communication as a robust coordination mechanism. In contrast, we find that curriculum learning is highly sensitive to design choices: our pedagogical curriculum through progressively complex games reduced agent payoffs by 27.4% in an Iterated Public Goods Game with Punishment. Qualitative analysis reveals that curricula emphasizing defection-equilibrium games can induce “learned pessimism” in agents. These findings suggest that for coordination problems, simple communication protocols may be more reliable than experience-based training, and that curriculum design for social dilemmas requires careful attention to the strategic lessons embedded in game sequences.
%U https://aclanthology.org/2026.eacl-short.23/
%P 307-321
Markdown (Informal)
[Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches](https://aclanthology.org/2026.eacl-short.23/) (Madmoun & Lahlou, EACL 2026)
ACL