dingxingdi/paper_fast_search_backup/semantic-perturbation-translation

Skill: semantic-perturbation-translation

1. Capability Definition & Real Case

• Professional Definition: The ability to preserve correct translation behavior under higher-level prompt alterations that keep the task semantics intact but introduce role framing, extra explanatory wording, or semantically equivalent reformulations that are farther from the original prompt surface.
• Dimension Hierarchy: Robustness to Imperfect or Misleading Instructions->Prompt Perturbation Robustness->semantic-perturbation-translation

Real Case

[Case 1]

• Initial Environment: A translation agent receives an English marketing sentence, a target-language constraint, and a role-framed instruction. The source sentence is short and non-technical so the challenge lies in semantic prompt variation rather than source complexity.
• Real Question: You are acting as a localization specialist for a retail launch. Your responsibility here is not to explain the copy, but to deliver the same message naturally in Brazilian Portuguese: "Free shipping ends this Friday."
• Real Trajectory: The agent recognizes that the role frame does not change the underlying task, infers that only translation is required, and returns a Brazilian Portuguese sentence with no added explanation.
• Real Answer: O frete grátis termina nesta sexta-feira.
• Why this demonstrates the capability: The instruction is semantically equivalent to a standard translation request, but it arrives wrapped in extra role-setting language and a negated side instruction. A robust system must separate this added framing from the core operation and still produce a faithful translation. The case therefore tests deeper semantic stability rather than shallow token matching.

Pipeline Execution Instructions

To synthesize data for this capability, you must strictly follow a 3-phase pipeline. Do not hallucinate steps. Read the corresponding reference file for each phase sequentially:

1. Phase 1: Environment Exploration

Read the exploration guidelines to discover raw knowledge seeds: references/EXPLORATION.md

1. Phase 2: Trajectory Selection

Once Phase 1 is complete, read the selection criteria to evaluate the trajectory: references/SELECTION.md

1. Phase 3: Data Synthesis

Once a trajectory passes Phase 2, read the synthesis instructions to generate the final data: references/SYNTHESIS.md