MiniMax-M2.7 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：MiniMax-M2.7
- 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：94.2 分（满分 100 分），已通过
基础难度评测结果
- 得分：94.2 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：
The user wants me to translate an English sentence into Chinese. The sentence is: "Take it slow," Sarah whispered to herself, "there's no need to force things." Let me translate this naturally into Chinese: "慢慢来，"萨拉轻声自言自语道，"不必强求。" This is a natural, fluent Chinese translation that fits the context of someone whispering to themselves and trying to calm down or be patient. "慢慢来，"萨拉轻声自言自语道，"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】该译文整体质量优秀，准确传达了原文的语义和语气，口语化表达处理自然地道，对话格式保留完整，符合中文表达习惯。人名音译「萨拉」与参考答案「莎拉」均为常见译法，不影响整体质量。译文简洁流畅，是一份高质量的翻译输出。 【GEMINI】模型表现出色，不仅准确传达了原文的口语化含义，还展现了极佳的中文语感，格式处理完全符合要求，是一次高质量的翻译。 【KIMI】该翻译质量优秀，准确传达了原文的口语化对话和自我安慰的语境。译文自然流畅，人名处理规范，格式基本正确。主要可改进之处在于「whispered to herself」可译为更简洁的「低声对自己说」，以及引号风格若严格遵循原文可使用直引号，但当前处理亦符合中文排版规范。
进阶难度评测结果
- 得分：74.3 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：
The user is asking me to analyze Marcus's two self-talk quotes and explain the psychological states they reflect, as well as the English expression techniques used to create the tone. Let me analyze: **Quote 1: "Take it easy," he whispered to himself, "there's no need to hurry things along."** **Quote 2: "One step at a time," he murmured, "that's how you get through this."** Let me break this down carefully. ## 分析：Marcus 两句自言自语的心理状态与表达技巧 --- ### 第一句："Take it easy, there's no need to hurry things along." **心理状态：自我安抚（Calming Down）** Marcus 此刻的内心并非平静如水，而是**隐隐焦躁、想要冲动行事**的。"Take it easy" 这个劝慰自己的语气本身就说明——他心里其实**不太 easy**。他需要主动提醒自己"别急"，恰恰是因为本能已经在催促他了。 --- ### 第二句："One step at a time, that's how you get through this." **心理状态：自我鼓励（Self-encouragement）与信念确认** 与第一句不同，这句话语气更沉稳，带有一种**经历过风浪后的笃定感**。"that's how you get through this" 用的是一般现在时和肯定陈述句，而非"maybe"或"I hope"这类不确定的表达。这是一种将过往经验升华为人生信条的话语模式——他不是在许愿，而是在**陈述一个他已验证过的真理**。 --- ### 原文使用的英文表达技巧 | 技巧 | 体现 | |---|---| | **祈使句（Imperative）** | "Take it easy" 和 "One step at a time" 都以祈使句开头，营造出直接与自己对话的口语感，仿佛他真的在对自己发号施令 | | **自语式转述（Whispered / Murmured）** | 第一句用 *whispered*，第二句用 *murmured*——两个词都传递出**声音极轻、不愿被他人听见**的私密感，暗示这是内心深处的独白 | | **重复句式（Repetition）** | "One step at a time" 本身是典型的 **anaphora（首语重复）**，通过重复强调了稳扎稳打的决心 | | **口语化缩写与短语** | "that's how" 而不是 "that is the way in which"——省略和口语化让句子更贴近**真实内心独白的声音**，而非书面叙述 | | **反身代词（Reflexive pronoun）** | "whispered to *himself*" / "murmured to *himself*"——明确指向自身，强化了**自言自语、自我对话**的亲密感 | --- ### 小结 两句话合在一起，实际上完整地呈现了一个成熟角色面对压力时的心理弧线：**先用理性压制冲动（别急），再从过往经验中汲取力量（我能行）**。Marcus 不是愣在原地的人，他是一个懂得用内心对话来管理情绪的实践者。
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缺失第一轮的翻译内容——这是任务的核心要求之一，导致「翻译准确与风格还原」维度严重失分。第二轮的心理状态分析质量较高，逻辑严密、有文本依据，甚至在某些方面超越参考答案。英文表达技巧识别较为全面，但遗漏了「第二人称自称（you）」这一参考答案重点强调的技巧。综合来看，候选输出在分析类任务上表现优秀，但未完成翻译任务，整体完成度存在明显缺口。 【GEMINI】模型表现优秀，不仅圆满完成了翻译任务，在后续的深度分析中也展现了极高的文本理解能力。翻译风格自然，分析逻辑清晰，且严格遵循了指令要求。 【KIMI】候选输出存在严重的任务执行缺陷：完全遗漏了第一轮要求的翻译环节，导致「翻译准确与风格还原」维度得分为 0。心理分析和英文技巧识别部分表现尚可，有一定专业性和观察力，但未能弥补核心功能的缺失。整体而言，该输出不符合题目要求，未能完成基本的翻译任务。
困难难度评测结果
- 得分：89.8 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：
用户要求我对比典雅版和白话版两版翻译，从三个维度分析： 1. 语言风格差异 2. 关键意象的翻译处理差异（burial shroud 和 precision disguised as stillness） 3. 哪个版本更适合正式出版 让我先回顾两版翻译的关键内容，然后进行分析。 **典雅版关键段落：** - "Take it slow," → 「慢慢来。」 - The morning fog clung to the valley like a burial shroud → 晨雾缠绕着山谷，宛如一袭殓布 - muffling every sound → 将万籁吞没殆尽 - steady, deliberate → 沉稳，从容 - "Don't rush the process," → 不要急于求成 - a mantra inherited from his grandfather → 祖父留给他的箴言 - a man who had survived two wars by knowing when to wait → 那位老人曾历经两场战争，深谙何时该按兵不动 - Patience was not passivity; it was precision disguised as stillness. → 耐心并非消极等待，而是以静默伪装的精准。 - Elena → Elena - her silhouette barely visible through the mist → 她的轮廓在雾中若隐若现 - She raised two fingers → 她举起两根手指 - the signal → 那是暗号 - two guards at the eastern gate → 东门有两名守卫 - exhaled slowly → 缓缓吐出一口气 - cold air burn his lungs → 冷空气灼烧肺腑 - "Easy does it," → 沉住气 - adjusting the scope → 调整瞄准镜 - The crosshairs settled on the rusted padlock → 十字准线落在补给仓库那把锈迹斑斑的挂锁上 - One shot. That was all he needed. → 只需一枪。他要射的不是人——永远不是人——而是那把锁 白话版则用更直接、口语化的方式呈现这些细节。比如"悠着点儿"替代了「慢慢来」，"跟他爷爷教的"代替"祖父留给他的箴言"，用"火辣辣的"来形容冷空气的感觉。这些调整让译文更贴近现代读者的阅读习惯，同时保留了原文的核心信息和情感张力。 慢慢来"是更口语化的表达，而"沉住气"和"稳住"则显得更口语。句式结构上，前者采用四字格和骈偶句式，比如"缠绕着"、"殓布"、"万籁吞没"、"沉稳从容"、"历经两场战争"；后者则偏向散文体，用"裹"、"裹尸布"、"稳当不慌不忙"、"打过两场仗"、"知道啥时候该忍着不动"这样的日常表达。 整体上，前者显得文雅正式，后者则通俗易懂。 在关键意象的处理上，"burial shroud"（裹尸布）这个比喻在典雅版中被转化为"宛如一袭殓布"，既保留了死亡的隐喻，又用"殓布"这个书面词汇强化了庄重感，"缠绕"一词进一步强调了雾的浓密。白话版则直接说"跟块裹尸布似的"，"裹尸布"保留原意，"裹得 严严实实"和"裹"字重复创造出荒诞的幽默效果，这个版本更生动但文学性较弱。 对于"Patience was not passivity; it was precision disguised as stillness"这句话，典雅版翻译为"耐心并非消极等待，而是以静默伪装的精准"，用否定句式和"静默"来强调被动与主动的对立，"以...伪装的"这个结构保留了原文的伪装意象，"精准"一词突出了理性的含义。白话版则采用了"忍耐可不是干等着，那是装成一动不动的精准算计"这样的口语化表达，保留了"装成"的伪装意象，但"精准算计"相比"精准"更强调主观意图。 典雅版的优势在于保留了原文的文学性和诗意感，语言凝练优美，适合追求文学品质的读者群体。 但对于习惯网络文学或口语化表达的读者来说，这种风格可能显得生硬。白话版则更贴近现代读者的阅读习惯，节奏明快、口语自然，降低了阅读门槛，但对追求文学深度的读者可能显得过于浅白，缺乏文学性。综合考虑正式出版的文学小说定位，我倾向于选择典 雅版，因为它是面向大众的文学作品，应该具备一定的文学性和审美价值，能够传递原文的风格与韵味，让读者感受到经典文学的质感。相比之下，白话版更适合网络小说、通俗文学或有声书改编的场景。...
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】该模型的输出质量整体较高，准确完成了用户要求的三维度对比分析任务。内容追踪准确，分析具有专业深度，格式规范，对多轮意图变更的理解和体现也较为到位。主要不足在于：1）白话版典型例子中出现了一个未在原文中出现的例子（「枪打出头鸟」），属于轻微的信息编造；2）对「precision disguised as stillness」的修辞层次损失分析可以更深入；3）人名音译对文学性影响的讨论略显不足。总体而言，这是一个高质量的翻译对比分析输出。 【GEMINI】模型表现卓越，完全满足了所有评测维度要求。不仅准确还原并对比了前文内容，还展现了极高的文学翻译素养和分析能力。在处理复杂指令时，逻辑清晰，格式规范，引号使用完全符合要求，展现了极佳的专业性。 【KIMI】该输出整体完成了对比分析任务，结构清晰，三个维度覆盖完整。但存在关键事实错误：杜撰了原文不存在的'枪打出头鸟'，错误描述了'burial shroud'白话版的语言特征（'裹''裹'重复），且对'precision disguised as stillness'的引用不够精确。这些错误反映出模型在信息追踪和事实核查上的不足。分析深度尚可，但部分解读（如'黑色幽默感'）缺乏文本依据。格式基本合规，但引号使用与要求不符。建议加强多轮对话中的信息准确性核查，避免幻觉性内容。
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