Moderate Hallucination Question 101 of 223

How do citations and source attribution help in LLM apps?

GenAI / LLM · Speak this in 60–90 seconds · Faridabad & Delhi NCR

Text inTokens

TransformerAttention

Text outNext token

Citations let users and evals check claims against retrieved IDs.

LLMs use tokens (not full words) because it helps them:

This is a process

question about Hallucination.

Panels listen for order,

trade-offs, and what you would actually do on a GenAI / LLM project - not buzzwords.

Stable token IDs

Each piece maps to a number the network can learn.

Fits the model

Fixed pieces are what transformers expect as input.

Before you speak the answer, walk the interviewer through these steps:

1
Citations let users and
evals check claims against retrieved IDs.
2
They also pressure the
model to stay close to quoted spans.
3
Fake citations are themselves
a hallucination mode, so verify that cited chunks were actually retrieved.
4
Give an example
One tiny concrete case you can say aloud.
5
Common mistake
What juniors usually get wrong.
6
Close
When you pick this over the alternative.

Here's a short line you can speak, broken into clear beats:

Say this line

“They also pressure the model to stay close to quoted spans.”

Break into beats

Theyalsopressurethemodelto

Speaking order

2987408337471632900

Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.

Citations let users and evals check claims against retrieved IDs. They also pressure the model to stay close to quoted spans.