Coopshift: Post-Training Amplifies The Memory Curse In LLM Cooperation
How does post-training change cooperation during repeated interaction?
ProofPaper ↗
Key points
- Within each of seven released model lineages, we compare pretrained (Base), supervised fine-tuned (SFT), and subsequent preference- or reward-optimized (Aligned) checkpoints across seven social dilemmas.
- The memory curse refers to lower cooperation when agents can see more past rounds.
- With long history, both post-trained stages also cooperate less than Base on average in each binary-action game.
- The difference in cooperation rates between Aligned and SFT also changes from one-shot decisions to repeated play.
Sources (1)
- [1]Coopshift: Post-Training Amplifies The Memory Curse In LLM CooperationarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 16, 06:11 PM
How does post-training change cooperation during repeated interaction?
Within each of seven released model lineages, we compare pretrained (Base), supervised fine-tuned (SFT), and subsequent preference- or reward-optimized (Aligned) checkpoints across seven social dilemmas.
Extractive summary: sentences quoted from the sources.
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