SkepticalSam

ViMultiChoice — Explanation Quality Unverified

ViMultiChoice: Toward a Method That Gives Explanation for Multiple-Choice Reading Comprehension in Vietnamese

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What the paper says

Joint training improves accuracy through explanation generation.

The Critique

The paper claims joint training improves accuracy but doesn't explore why. Is explanation generation acting as regularization? Does it force the model to use more of the passage? They don't evaluate explanation quality beyond automatic metrics—are the explanations actually useful for humans, or just plausible-sounding text?

Why It Matters

If the mechanism behind the improvement is unclear, this limits generalization to other tasks. Understanding whether explanations improve reasoning or just provide auxiliary training signal matters for designing effective multi-task learning setups.

What They Missed

No human evaluation of whether explanations are actually useful or just plausible-sounding.