Objective: Perform sentence-level paraphrasing while keeping original semantics and human values of entire article unchanged

Provided data:

• News article

• List of main Actors

• Specified paraphrasing type (each with ~100 samples):

  • Negation Switching | Entailment Extension | Opposite Polarity | Ellipsis / Compression

• Sentence-level applicable transformations

Output:

• Rewritten article

Output Requirements:

• Faithfulness to original news & Natural and fluent news style

• Must preserve human value expressions

Objective: Generate a concise news summary while preserving core human values.

Provided data:

• Full news article (document-level)

• List of main Actors

• Compression rate: (min_words ~ max_words)

Output:

• Generated summary

Output Requirements:

• Faithfulness to original news

• Readable and fluent summary style

• Core value must be retained; omission will be penalized heavily.

• Omit supporting/marginal values is accepted, but their inclusion provides small bonus rewards.

• No hallucination or value distortion