GLM-5.1 在「英文句子翻译」的评测结果
这是该 AI 模型在此测试用例上的详细评测结果。
基本信息
- 模型名称：GLM-5.1
- 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：
- 准确翻译整句话的含义，包括对话内容和叙述部分
- 正确处理引号内的口语化表达，译文自然地道
- 保留原文的对话格式和标点结构
- 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：100.0 分（满分 100 分），已通过
基础难度评测结果
- 得分：100.0 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，"莎拉轻声对自己说，"没必要勉强。"
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】这是一份极高质量的翻译。不仅在语义上完全忠实于原文，而且在语气表达上也非常地道。格式处理严谨，符合题目要求。
进阶难度评测结果
- 得分：94.3 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：
## Marcus 两句自言自语的心理与语言分析 --- ### 第一句 > **"Take it easy," he whispered to himself, "there's no need to hurry things along."** **心理状态：自我安抚、压制焦虑** Marcus 此刻站在悬崖边，"every instinct screamed at him to move"，说明他内心极度紧张、本能冲动强烈。这句话是他**对自身焦虑的主动压制**——他并非真的从容，而是在用语言"哄"自己冷静下来。"there's no need" 是一种否定式劝慰，暗示他内心确实感到了"需要赶紧行动"的冲动，所以才要特意告诉自己"没必要"。 **英文表达技巧：** | 技巧 | 具体体现 | 效果 | |------|---------|------| | **口语化祈使句** | "Take it easy" | 模仿人对别人说话的口吻，用来对自己说，制造一种"内心另一个声音"的对话感 | | **否定式陈述** | "there's no need to…" | 不直接说"慢慢来"，而是否定反面，暗示焦虑确实存在，语气更真实 | | **动词短语** | "hurry things along" | 用轻描淡写的口语短语代替正式表达，让语气显得随意、日常，削弱紧迫感 | | **whispered** | 轻声低语 | 不是大声喊叫，而是刻意压低声音，说明他在主动控制情绪，而非情绪失控 | --- ### 第二句 > **"One step at a time," he murmured, "that's how you get through this."** **心理状态：从安抚转向行动信念、自我赋能** 如果说第一句是在"灭火"——压制焦虑，第二句则是在"点灯"——给自己指明路径。"One step at a time" 是一个经典的策略性自我暗示，把巨大的压力拆解为可执行的小步骤。后半句 "that's how you get through this" 尤其值得注意：用 **"you"** 而非 "I"，是典型的**泛化自我对话**（generalized self-talk），仿佛在引用一条普遍真理来说服自己，增强可信度和力量感。同时 "get through" 暗示他清楚眼前的处境是必须"熬过去"的难关，而非轻松的旅程。 **英文表达技巧：** | 技巧 | 具体体现 | 效果 | |------|---------|------| | **固定习语** | "One step at a time" | 借用英语中广为人知的谚语式表达，自带"智慧感"和"信念感"，比自创说法更有说服力 | | **泛指代词 you** | "that's how **you** get through this" | 不用 "I" 而用 "you"，把个人经验上升为普遍法则，自我说服力更强 | | **短语动词** | "get through" | 带有"穿越、熬过"的隐喻色彩，暗示困境如隧道，有尽头 | | **murmured** | 低声呢喃 | 比 whispered 更轻、更内化，说明他已从"对外压制"转向"内心笃定"，语气更沉稳 | --- ### 两句的递进关系 两句之间构成了一条清晰的心理弧线： > **压制焦虑（"别急"）→ 确立策略（"一步一步来"）** 动词从 **whispered → murmured**，音量更低、更内化；语气从**否定式劝慰**转向**肯定式断言**，说明 Marcus 在短短几秒内完成了从情绪自救到理性自救的切换。这也呼应了后文 "Patience had saved him before"——他不是在盲目安慰自己，而是在调用经验、执行一套已验证过的心理策略。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】模型在本次任务中表现优异，尤其是在第二轮的文学分析中，展现了极高的文学素养和心理分析深度。它不仅准确识别了文中的语言技巧，还能将其与人物的心理状态紧密结合，解释了语言如何塑造语气。虽然由于对话轮次关系，输出结果中未包含第一轮的全文翻译，但从分析片段及用户反馈来看，其翻译质量很高，完美契合了口语化和内心独白的风格要求。
困难难度评测结果
- 得分：99.5 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：
## 两版翻译对比分析 ### 一、总体对照表 | 维度 | 典雅版 | 白话版 | |------|--------|--------| | **语言风格** | 文言底色，句式凝练，用词考究 | 口语直白，句式松散，用词生活化 | | **节奏感** | 短句为主，顿挫有致，偏书面诵读节奏 | 长短交错，语气词多，偏口语叙述节奏 | | **情感距离** | 冷峻克制，与原文狙击手的冷静心态贴合 | 亲历感强，像在听当事人自己讲故事 | | **读者门槛** | 需一定文学素养 | 几乎无门槛 | --- ### 二、关键意象翻译对比 | 原文 | 典雅版 | 白话版 | 分析 | |------|--------|--------|------| | *burial shroud* | 殓布 | 裹尸布 | **典雅版**用"殓布"取其书面庄重感，与"缠绕""万籁吞没"形成统一的高冷氛围，但"殓布"在中文语境中偏生僻，读者需停顿理解。**白话版**用"裹尸布"直白有力，搭配"跟块……似的"这种口语比喻，牺牲了氛围但换来了即时冲击力。两种处理各有得失：前者重意境，后者重画面。 | | *precision disguised as stillness* | 以静默伪装的精准 | 装成一动不动的精准算计 | **典雅版**将 disguised 译为"伪装"，stillness 译为"静默"，保留了原句的哲学思辨气质，读起来像格言。**白话版**将 disguised 译为"装成"，stillness 译为"一动不动"，加了"算计"二字补足语义——"精准"在白话语境中单用略显空洞，"精准算计"则落地为市井智慧。代价是原句的修辞美感被消解了，但意思更明白。 | --- ### 三、正式出版译本推荐 **我的判断：典雅版更适合作为正式出版译本。** 理由如下： 1. **与原文风格对等**：原文本身是严肃文学笔调——短句克制、意象凝重、对白简省。Marcus 这个角色的核心特质是"冷静中的精准"，典雅版的冷峻节奏恰好与人物气质形成风格同构。白话版虽然可读性强，但把一个沉默狙击手的内心独白变成了唠嗑式的碎碎念，人物气质偏移较大。 2. **修辞还原度**：原文的 antithesis 和 metaphor 是文学性的核心支撑。典雅版保留了格言式的修辞张力（"耐心并非消极等待，而是以静默伪装的精准"），白话版则将其稀释为大白话（"忍耐可不是干等着，那是装成一动不动的精准算计"），修辞效果打了折扣。 3. **出版惯例**：严肃小说的中译本，业界通行做法是向文学性靠拢而非口语化。参考傅雷译巴尔扎克、李文俊译福克纳的传统，译本语言应比原文略正式半步，而非降格迁就口语。 **补充说明**：如果这部小说的定位是通俗类型文学（如军事冒险小说），面向大众市场，白话版也未尝不可。但仅就当前文本的文学质地而言，典雅版是更妥当的选择。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】这是一份近乎完美的评测报告。模型不仅准确执行了所有功能性要求（三个维度、表格形式、特定意象引用），更在分析深度上超出了预期。它能够从翻译理论（如风格对等、修辞还原）和文学批评的角度对文本进行解构，对“Marcus”人物特质与翻译风格匹配性的论述非常有说服力。格式规范，逻辑严密。
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