Papers by Guven Gergerli
Bayesian Social Deduction with Graph-Informed Language Models (2026.acl-long)
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Shahab Rahimirad, Guven Gergerli, Lucia Romero, Angela Qian, Matthew Lyle Olson, Simon Stepputtis, Joseph Campbell
| Challenge: | Large language models (LLMs) have demonstrated remarkable general-purpose reasoning capabilities across a wide range of tasks. |
| Approach: | They propose a hybrid reasoning framework that externalizes belief inference to a structured probabilistic model while using an LLM for language understanding and interaction. |
| Outcome: | The proposed framework achieves competitive performance with larger models in Agent-Agent play and is the first language agent to defeat human players in a controlled study. |