Pembalikan Kutukan dalam Kuis LLM

Jawaban dan penjelasan muncul saat Anda mengikuti kuis.

1. A model learned “A is B” but fails to answer “B is A.” What is this called?
   • The lost-in-the-middle effect
   • Catastrophic forgetting
   • The reversal curse
   • Mode runtuh
2. What does the reversal curse show about directional associations?
   • Learning one word order does not guarantee reliable recall in the reverse order
   • Language models automatically invert every relation
   • A fact is always stored as a symmetric database edge
   • Fine-tuning removes all directional errors
3. Is the reversal curse simply a failure because the model never saw the fact?
   • Yes, the model must not have read it
   • It is caused only by a short context window
   • It occurs only when facts are false
   • No; it can fail in reverse even after training on the forward statement
4. Why might next-token training contribute to the effect?
   • It encodes all facts into an unordered table
   • It trains on token order, so A-followed-by-B does not automatically teach B-followed-by-A
   • It optimizes reverse queries by default
   • It prevents memorization of entity names
5. How can the effect be tested?
   • Compare model performance on matched forward and reverse versions of facts
   • Measure only the forward statement
   • Change both the entities and question at once
   • Use only a general language benchmark
6. What does failure on a reverse query imply about model knowledge?
   • The model has no information about either entity
   • The model is necessarily incapable of reasoning
   • The model’s learned association may not support flexible inversion
   • Every entity relation is symmetric
7. Why is a reverse-direction test useful for a factual QA system?
   • All questions use the same word order
   • Users may ask for either endpoint of a relation
   • It measures image classification accuracy
   • It guarantees factual truth
8. What should be inferred from one model’s reversal-cursed answer?
   • All language models fail on every reversed fact
   • The model has no semantic representations
   • The relation must be false
   • A documented failure mode to test, not proof that every model or fact behaves identically