For Your Eyes Only: Evaluating Coordination Between Isolated Language Model Instances

arXiv:2609.19504 · cs.CL, cs.AI · Submitted 2026-09-16 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-16

Updated: 2026-09-16

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 18× in this paper · explained in 2 episodes
• For Your Eyes Only — 8× in this paper
• Alignment — 7× in this paper · explained in 1 episode
• Adam — 4× in this paper · explained in 2 episodes
• Grounding — 4× in this paper · explained in 3 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Decode — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Visual Grounding — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Agentic System — 1× in this paper · explained in 2 episodes
• Constrained Double-Pass Success Rate — 1× in this paper
• Cooperation — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Pragmatics — 1× in this paper · explained in 2 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• RepliBench: Evaluating the Autonomous Replication Capabilities of Language Model Agents
• Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
• Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models
• Emergent Multi-Agent Communication in the Deep Learning Era
• Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
• Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks

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