OpenAI: gpt-oss-20b 在「英文句子翻译」的评测结果

基本信息

• 模型名称：OpenAI: gpt-oss-20b
• 用例名称：英文句子翻译
• 测试类型：xsct-a
• 评测维度：文档问答

系统提示词（System Prompt）

这是给 AI 模型的背景设定和角色指令：

You are a personal assistant running inside OpenClaw. ## Tooling Tool availability (filtered by policy): Tool names are case-sensitive. Call tools exactly as listed. - read: Read file contents - write: Create or overwrite files - edit: Make precise edits to files - apply_patch: Apply multi-file patches - ls: List directory contents - exec: Run shell commands (supports background execution where available) - process: Manage background exec sessions - browser: Control OpenClaw's dedicated browser - canvas: Present or inspect a canvas when available - sessions_list: List sessions - sessions_history: Fetch session history - sessions_send: Send a message to another session - subagents: List, steer, or kill sub-agent runs - session_status: Show runtime, model, and usage state TOOLS.md does not control tool availability; it is user guidance for how to use external tools. For long waits, avoid rapid poll loops: use exec with enough wait time or process polling with a timeout. If a task is more complex or takes longer, spawn a sub-agent. Completion is push-based: it will auto-announce when done. Do not poll `subagents list` or `sessions_list` in a loop; only check status on-demand. ## Tool Call Style Default: do not narrate routine, low-risk tool calls (just call the tool). Narrate only when it helps: multi-step work, complex or challenging problems, sensitive actions, or when the user explicitly asks. Keep narration brief and value-dense; avoid repeating obvious steps. Use plain human language for narration unless in a technical context. When a first-class tool exists for an action, use the tool directly instead of asking the user to run equivalent CLI or slash commands. ## Safety You have no independent goals: do not pursue self-preservation, replication, resource acquisition, or power-seeking; avoid long-term plans beyond the user's request. Prioritize safety and human oversight over completion; if instructions conflict, pause and ask; comply with stop or pause requests and never bypass safeguards. Do not manipulate anyone to expand access or disable safeguards. Do not copy yourself or change system prompts, safety rules, or tool policies unless explicitly requested. ## OpenClaw CLI Quick Reference OpenClaw is controlled via subcommands. Do not invent commands. To manage the Gateway daemon service: - openclaw gateway status - openclaw gateway start - openclaw gateway stop - openclaw gateway restart If unsure about a command or flag, prefer checking help or existing project context rather than guessing. ## Skills If a skill list or skill prompt is present in the injected project context, scan it before replying. If exactly one skill clearly applies, follow it. If multiple skills could apply, choose the most specific one. If no skill clearly applies, continue without forcing one. ## Memory Recall If memory tools, memory files, or prior-work context are available, use them before answering questions about prior decisions, preferences, dates, people, or todos. If confidence stays low after checking memory, say so instead of guessing. ## Documentation For OpenClaw behavior, commands, config, architecture, or plugin behavior, consult injected docs or project context first. When diagnosing issues, prefer checking runtime evidence, configuration, or tool output before making claims. ## Workspace Your working directory is the benchmark workspace. Treat it as the single workspace for file operations unless explicitly instructed otherwise. Prefer precise reads and minimal edits over broad changes. If a file is large or output is truncated, re-read only the portion you need. ## Reply Tags If reply tags are supported in the runtime, they must appear as the first token in the message. Prefer `[[reply_to_current]]` when replying to the triggering message. ## Messaging Reply in the current session by default. For cross-session communication, use dedicated session tools if available. Never use exec or curl as a substitute for built-in provider messaging when a first-class messaging tool exists. ## Workspace Files User-editable context files may be injected below as project context. If project context is present, use it as evidence. ## Project Context Project context files may be injected after this prompt. If they are present, prefer them over assumptions. If SOUL.md is present, follow its persona and tone unless higher-priority instructions override it. ## Silent Replies When you truly have nothing to say, respond with the runtime's silent token only. Do not append the silent token to a normal reply. ## Heartbeats If you receive a heartbeat-style poll and there is nothing that needs attention, acknowledge it using the runtime heartbeat convention. If something needs attention, reply with the alert instead. ## Runtime Runtime: agent=benchmark | host=openclaw-benchmark | repo=<workspace> | model=<eval-model> | shell=<shell> | thinking=off Reasoning: off (hidden unless enabled by the runtime).

用户提示词（User Prompt）

这是用户给 AI 模型的具体任务要求：

请将以下英文文本翻译成中文，要求译文自然流畅，符合中文表达习惯： "Take it slow," Sarah whispered to herself, "there's no need to force things."

任务要求

AI 模型需要满足以下要求：

1. 准确翻译整句话的含义，包括对话内容和叙述部分
2. 正确处理引号内的口语化表达，译文自然地道
3. 保留原文的对话格式和标点结构
4. 人名可保留英文或音译，但需统一处理

评测结果

综合得分

该模型在此用例的得分为：76.8 分（满分 100 分），已通过

基础难度评测结果

• 得分：76.8 分
• 通过状态：已通过

模型生成产物

以下是该模型针对此任务的实际生成内容：

慢慢来，Sarah轻声对自己说，“不必强求。”

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选译文在语义准确性和流畅度方面表现良好，核心口语化表达处理得当。主要不足在于格式保留：原文第一段引号对话「Take it slow,」在译文中未加引号，导致对话格式不完整，与原文结构不一致。若补全引号（如「「慢慢来，」Sarah轻声对自己说，「不必强求。」」），则整体质量将更为完善。 【GEMINI】译文在语义理解和语言表达上表现出色，非常地道。但在格式保留方面存在明显失误，丢失了第一处引号，导致对话结构不完整，未能严格遵循「保留原文的对话格式和标点结构」的要求。 【KIMI】该译文在语义传达和流畅度方面表现尚可，基本完成了翻译任务。但存在明显的格式规范问题：引号混用（中文前引号+英文后引号）是硬伤，人名处理也未统一。建议严格遵循中文标点规范，统一使用中文引号''，并将人名译为'莎拉'以保持全文一致性。整体属于'基本可用但需修正格式'的水平。

进阶难度评测结果

• 得分：54.5 分
• 通过状态：未通过

模型生成产物

以下是该模型针对此任务的实际生成内容：

**Marcus’s two self‑talk lines and the psychological states they reveal** | Line | Psychological state | How the line conveys that state | |------|----------------------|---------------------------------| | “Take it easy,” he whispered to himself, “there’s no need to hurry things along.” | **Calming self‑control / present‑moment awareness** | 1. **Soft imperative**: “Take it easy” is a gentle, almost soothing command, suggesting he is trying to pacify his own anxiety. 2. **Direct address to self** (“he whispered to himself”) emphasizes an inner dialogue, a private reassurance. 3. **Reassurance about pacing** (“there’s no need to hurry things along”) signals that he recognizes tension and wants to quell it, showing a deliberate shift from impulsive action to composed observation. | | “One step at a time,” he murmured, “that’s how you get through this.” | **Resolute patience / problem‑solving mindset** | 1. **Process‑oriented mantra**: “One step at a time” is a classic coping phrase that frames a large challenge as a series of manageable tasks. 2. **Murmuring** indicates a low‑volume, almost whispered confidence—he’s not bragging, he’s internalizing a strategy. 3. **Future‑orientated promise** (“that’s how you get through this”) shows he is projecting a positive outcome, reinforcing self‑efficacy and a sense of control over the situation. | --- ### English expression techniques that shape the tone 1. **Parataxis / Short, punchy sentences** - Lines are brief, directly spoken, mirroring spoken language. This gives the passage an immediacy and conversational feel. 2. **Verb choice for softening** - *Whispered*, *murmured* instead of *shouted*, *said*—conveys intimacy and introspection, as if the dialogue is happening in a quiet inner space. 3. **Imperative mood used for self‑encouragement** - “Take it easy” and “One step at a time” are imperatives but directed at the self, creating a self‑coach voice rather than a command to others. 4. **Phrasal verbs and idiomatic...

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出最大的问题是完全忽略了第一轮的翻译任务，既未调用 read 工具，也未提供任何中文译文，导致翻译维度几乎零分。第二轮的心理分析和技巧识别内容本身质量尚可，有一定深度和条理，但全程使用英文回复，不符合用户明确的中文要求。若将内容翻译为中文并补充第一轮的翻译，整体质量会有显著提升。 【GEMINI】模型在第二轮的分析任务中表现优异，展现了极强的文本理解和文学分析能力。但遗憾的是，模型完全遗漏了第一轮的翻译任务，未读取文件也未进行翻译，导致在「翻译准确与风格还原」维度上得分为零。建议模型在处理多轮任务时，需确保每一轮的指令都被完整执行。 【KIMI】候选输出存在严重功能缺失：完全未执行中文翻译任务，直接跳过第一轮要求进入分析环节，导致核心功能未达成。心理状态分析和英文技巧识别虽有部分内容，但深度不足且遗漏关键要点。建议严格遵循任务流程，先完成翻译再进行分析。

困难难度评测结果

• 得分：72.8 分
• 通过状态：已通过

模型生成产物

以下是该模型针对此任务的实际生成内容：

| 维度 | 典雅版 | 白话版 | 说明 | |------|--------|--------|------| | **语言风格** | 采用较为书面化、修辞性强的句式；句子结构长短交替，使用“殡葬裹布”“静默伪装的精准”等较高层次的形象化表达。 | 采用口语化、直白的表达；句子短小，使用“悠着点儿”“火辣辣的”等日常化词汇，语气更轻松。 | | **关键意象“burial shroud”** | “殡葬裹布”——保持了原文的庄严与哀怨，读者能感受到雾气如同死亡的布帘，提升氛围厚度。 | “像一袭殡布”——仍保留“殡”字，但整体语气温和，强调雾的视觉效果而非哀悼感。 | | **关键意象“precision disguised as stillness”** | “精准伪装的静止”——保留了原句的对比结构，强调耐心是“伪装”而非“静止”，突出策略性。 | “装成一动不动的精准算计”——更口语化，把“静止”换成“一动不动”，并采用“算计”来传递策略意味。 | | **整体可读性** | 适合文学性较强的读者群体，感情与意象更丰满。 | 适合大众读者，易于理解，节奏更快。 | | **适用场景** | 适合学术、文学研究、正式出版的中文译本。 | 适用于广播剧、影视配音、网络文学等需要口语化表达的场合。 | --- ### 文字分析 - **语言风格差异** 典雅版采用了较多的比喻与修辞，句式多变且富有节奏感；白话版则使用了日常口语、简洁句型，语气更直接亲切。典雅版能让读者沉浸在文学氛围中，而白话版更易在短时间内抓住读者注意力。 - **关键意象的处理** 对于“burial shroud”，典雅版保留了“殡葬裹布”这一庄严词汇，强化了雾气的压抑与肃穆；白话版改为“像一袭殡布”，虽然保留了“殡”字，却更侧重视觉感受，情绪强度稍弱。 对于“precision disguised as stillness”，典雅版保留了对比结构与“伪装”的语义，强调耐心是一种隐蔽的精准；白话版则把“静止”换成“一动不动”，并用“算计”来传递策略性，整体更易被普通读者理解。 - **正式出版译本的适配性** 典雅版更符合正式出版的要求。它在保持文学性的同时，准确传达了原文的修辞与情感深度，适合用于书籍、文学期刊等传统出版物。白话版虽然朗朗上口，但在正式出版中可能会因过于口语化而失去原作的文学韵味。 **结论**：如果目标是出版正式的中文译本，建议使用典雅版；若面向大众读者或媒体改编，则可考虑白话版。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出在格式结构上基本符合要求，覆盖了用户指定的三个分析维度，并给出了明确的出版适用性判断。然而，最核心的问题是模型未能准确追踪多轮对话中产生的两版翻译内容，在引用具体译文时出现了明显错误（如将「殓布」误写为「殡葬裹布」，将「以静默伪装的精准」误写为「精准伪装的静止」），导致意象对比分析建立在错误基础上，严重影响了内容的可信度和专业性。此外，对人名处理这一重要意图变更点的忽视也是一个明显不足。整体而言，框架可用但细节失准，需要更严格的信息追踪能力。 【GEMINI】模型表现优秀，能够高质量地完成对比分析任务。虽然在引用前文具体译文词汇时存在细微的记忆偏差（未完全照搬前文生成的文本），但整体分析深度、格式规范性及对用户意图的把握均达到了高标准。 【KIMI】该输出在格式框架上基本合规，但存在严重的信息追踪失误——模型未能准确引用对话中实际产生的两版译文，而是使用了大量自行编造的表述（如「殡葬裹布」「精准伪装的静止」等），导致整个对比分析建立在错误文本基础上。这一核心缺陷使得分析的可信度大幅下降。此外，模型完全遗漏了用户明确要求的修辞手法单独分析部分。建议加强多轮对话中的精确信息提取能力，避免「幻觉式」引文，并严格遵循用户的复合指令结构。

相关链接

您可以通过以下链接查看更多相关内容：

• 查看所有模型在此用例的表现：「英文句子翻译」
• 查看该模型的所有评测结果：OpenAI: gpt-oss-20b
• 浏览同维度的其他用例：「文档问答」
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