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What Makes A Good Story? Designing Composite Rewards for Visual Storytelling

AAAI 2020 · Reinforcement learning › RL from feedback · approach: Reward modeling versus direct optimization · 56 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace the BLEU reward with the composite relevance, coherence, and expressiveness rewards (ablation)BLEU-RL on VIST · VIST testCIDEr: 6.7 -> 8.6Helped
Replace the BLEU reward with the composite relevance, coherence, and expressiveness rewards (ablation)BLEU-RL on VIST · VIST testBLEU-4: 14.4 -> 12.4Hurt
Replace the BLEU reward with the composite relevance, coherence, and expressiveness rewards (ablation)BLEU-RL on VIST · VIST testMETEOR: 35.2 -> 33.9Hurt
Replace the BLEU reward with the composite relevance, coherence, and expressiveness rewards (ablation)BLEU-RL on VIST · VIST testROUGE-L: 30.1 -> 29.9Hurt
Replace the BLEU reward with the composite relevance, coherence, and expressiveness rewards (ablation)BLEU-RL on VIST · VIST testRelevance reward: 2.17 -> 10.39Helped
Replace the BLEU reward with the composite relevance, coherence, and expressiveness rewards (ablation)BLEU-RL on VIST · VIST testCoherence reward: 12.40 -> 12.74Helped
Replace the BLEU reward with the composite relevance, coherence, and expressiveness rewards (ablation)BLEU-RL on VIST · VIST testExpressiveness reward: 30.41 -> 39.37Helped
Use ReCo-RL rather than BLEU-RLVisual storytelling on VIST · VIST human evaluationRelevance preference: 17.6% -> 74.5%Helped
Use ReCo-RL rather than BLEU-RLVisual storytelling on VIST · VIST human evaluationCoherence preference: 18.9% -> 72.3%Helped
Use ReCo-RL rather than BLEU-RLVisual storytelling on VIST · VIST human evaluationExpressiveness preference: 19.5% -> 71.5%Helped
Use ReCo-RL rather than ARELVisual storytelling on VIST · VIST human evaluationRelevance preference: 27.6% -> 62.2%Helped
Use ReCo-RL rather than HSRLVisual storytelling on VIST · VIST human evaluationCoherence preference: 38.0% -> 51.9%Helped

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