AI BriefingSolving LLM Repetitive Generation Issues Using FTPO
Key point
This paper proposes a new optimization methodology to solve the 'Doom Loop,' a repetitive generation error in LLMs.
Details
The 'Doom Loop' phenomenon, where a model infinitely repeats a specific phrase (e.g., "Wait, let me reconsider...") and exhausts its context, occurs frequently especially in small models with reasoning capabilities.
Existing solutions and their limitations are as follows.
- Repetition Penalty: Rebalances the output distribution at inference time, but is a stopgap solution that can cause performance degradation.
- Reinforcement Learning: Can target the repetition problem, but requires sophisticated reward design and costly online rollouts.
To address this problem, this paper proposes the Final Token Preference Optimization (FTPO) method, and discusses a way to effectively suppress the model's repetitive degeneration.
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