3 papers
cs.LG2026
The belief-action gap in language model agents
Ayse Sila Okcu, Weisheng Wang, Tongmeng Xie +4
Language model (LM) agents can fail for different reasons, requiring different explanations and interventions. We study how state beliefs, action values, and action preferences int…
cs.MA2026
Be Careful Who You Trust: Coordination Dynamics under Corrupted Communication in LLM Multi-Agent Games
Xuanyi Liu, Niall Dalton, Hairi Amin +2
Large language models are increasingly used as interacting agents, but it remains unclear how robust their coordination is when public communication is unreliable. We study this qu…
cs.LG2026
A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents
Raghu Arghal, Fade Chen, Niall Dalton +6
Understanding an agent's goals helps explain and predict its behaviour, yet there is no established methodology for reliably attributing goals to agentic systems. We propose a fram…