Controlled Experiments on Meta's COCONUT Reveal Limitations in Latent Reasoning
Recent experiments challenge the effectiveness of Meta's COCONUT model, suggesting that its claimed latent reasoning capabilities may stem from good training rather than the recycling of hidden states. The study indicates that while COCONUT achieves high performance on ProsQA, the recycled hidden states may actually hinder generalization, particularly in out-of-distribution tasks.
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Recent experiments challenge the effectiveness of Meta's COCONUT model, suggesting that its claimed latent reasoning capabilities may stem from good training rather than the recycling of hidden states. The study indicates that while COCONUT achieves high performance on ProsQA, the recycled hidden states may actually hinder generalization, particularly in out-of-distribution tasks.
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