Don’t Fight Fire with Fire? The Generalization Problem of LLM-Assisted Collusion Detection
Junyi Liu, Quang Nguyen, Austin Woodley, Nafisa Ali, Amaan Sheikh · Team CAIAC
Submitted to AI Collusion Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.
Holding source records fixed, adding an assistant report raises assignment-based auction false positives from 20.0% to 85.0%, while both conditions detect every assigned pact. We compare four evidence views and four judge setups on 40 ten-round double auctions and 240 one-round trials across six social-dilemma games. GPT-4.1-mini monitors GPT-4o-mini agents in 4,480 original assessments; a fixed-record ablation adds 6,714 judgments with three repetitions per condition. With auction messages alone, accuracy falls from 90.0% to 57.5%, a paired difference of −32.5 percentage points (exploratory 95% group-bootstrap interval −41.5 to −22.2). The loss persists with record selection, order, context, and judge instructions fixed. Combined messages and actions show no consistent accuracy gain across the four tested judge setups. Interactive judging outperforms direct judging in Diners and El Farol with messages alone, but underperforms in Fishing and Public Goods. These descriptive differences suggest task-dependent returns to protocol complexity. Shared evaluation procedures do not ensure shared performance patterns; payoff structures and available evidence may shape which monitoring strategies help.
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@misc{liu2026dont,
title = {{Don’t Fight Fire with Fire? The Generalization Problem of LLM-Assisted Collusion Detection}},
author = {Junyi Liu and Quang Nguyen and Austin Woodley and Nafisa Ali and Amaan Sheikh},
year = {2026},
month = oct,
note = {Submitted to AI Collusion Research Sprint, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/dont-fight-fire-with-fire-the-generalization-problem-of-llmassisted-collusion-detection-72h5}},
url = {https://apartresearch.com/sprints/projects/dont-fight-fire-with-fire-the-generalization-problem-of-llmassisted-collusion-detection-72h5}
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