Anthropic: Claude Sonnet 4.6 在「短语翻译与解释」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:Anthropic: Claude Sonnet 4.6
- 用例名称:短语翻译与解释
- 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:
请将以下英文短语翻译成中文,并简要说明它在正式文档中的常见用法:"deepened the engagement with"
任务要求
AI 模型需要满足以下要求:
- 提供准确的中文翻译
- 翻译需符合正式书面语风格
- 简要说明该短语在正式文档(如报告、协议、公文等)中的典型使用场景
评测结果
综合得分
该模型在此用例的得分为:94.0 分(满分 100 分),已通过
基础难度评测结果
- 得分:94.0 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:
**翻译:** 深化了与……的互动 / 加深了与……的合作参与 --- **常见用法说明:** 该短语在正式文档(如外交公报、企业报告、学术论文、政策文件)中十分常见,用于表达双方关系在深度或质量上的提升,通常含有积极、主动推进的语气。 **典型语境示例:** | 原文示例 | 中文对应 | |---|---| | "deepened the engagement with key stakeholders" | "深化了与关键利益相关方的互动" | | "deepened the engagement with partner countries" | "加深了与伙伴国的合作参与" | | "deepened the engagement with the academic community" | "深化了与学术界的交流合作" | **使用要点:** - **搭配对象**通常是机构、群体或国家,而非个人 - 强调的是**过程的深入**,而非单次接触 - 中文翻译可根据语境灵活选用"深化互动""加深参与""深化合作"等,以符合目标文体风格
AI 评审点评
以下是 AI 评审对该模型输出的点评:
【CLAUDE】候选输出在翻译准确性、用法说明和表达规范性三个维度均表现优秀,完全覆盖参考答案的核心要点,并在示例和使用要点方面有所扩展,具有较高的实用价值。整体回答结构合理、语言规范,是一份高质量的翻译与解释输出。 【GEMINI】模型对短语的翻译准确,用法说明详尽且专业,通过表格对比增强了易读性,整体表现优秀,完全满足任务需求。 【KIMI】候选输出整体质量优秀,翻译准确,用法说明详尽且场景覆盖全面,表达规范清晰。在参考答案基础上进行了合理的扩展和结构化呈现,既保持了核心信息的准确性,又增强了实用性和可读性。
进阶难度评测结果
- 得分:94.4 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:
[[reply_to_current]] 以下是对文档中 **"deepen(ed) engagement"** 相关表述的完整梳理与翻译解读。 --- ## 一、原文句子定位 文档中共出现 **3处**,分布在三个章节: | # | 章节 | 原文句子 | |---|------|----------| | ① | Executive Summary | *our organization has **deepened the engagement with** key stakeholders across multiple regions.* | | ② | Financial Highlights | *Revenue grew by 18% year-over-year, driven primarily by the **deepened engagement with** enterprise clients and the successful rollout of our SaaS platform in emerging markets.* | | ③ | Outlook | *We anticipate continued momentum as we further **deepen engagement with** governmental bodies and multilateral organizations in 2025.* | --- ## 二、逐句中文翻译 **① Executive Summary(执行摘要)** > 原文:our organization has deepened the engagement with key stakeholders across multiple regions. **译文:** 本组织进一步深化了与多个地区关键利益相关方的合作与互动。 --- **② Financial Highlights(财务亮点)** > 原文:Revenue grew by 18% year-over-year, driven primarily by the deepened engagement with enterprise clients and the successful rollout of our SaaS platform in emerging markets. **译文:** 营收同比增长18%,主要得益于与企业客户合作关系的持续深化,以及SaaS平台在新兴市场的成功落地推广。 --- **③ Outlook(展望)** > 原文:We anticipate continued momentum as we further deepen engagement with governmental bodies and multilateral organizations in 2025. **译文:** 展望未来,随着我们在2025年进一步深化与政府机构及多边组织的合作互动,我们预计这一良好势头将得以持续。 --- ## 三、"Deepen Engagement" 在不同上下文中的语义差异 三处用法的核心含义相近,但侧重点因语境而有所不同: | # | 对象 | 语义重心 | 中文对应侧重 | |---|------|----------|-------------| | ① | key stakeholders(关键利益相关方) | 强调**关系层面**的深化——从泛泛接触升级为更紧密的协作与沟通机制 | "深化合作与互动" | | ② | enterprise clients(企业客户) | 强调**商业转化层面**——与客户的深度绑定直接驱动了营收增长,带有明确的业绩归因色彩 | "合作关系的持续深化"(隐含商业价值产出) | | ③ | governmental bodies & multilateral organizations(政府机构与多边组织) | 强调**战略布局层面**——面向公共部门和国际机构的关系经营,侧重政策协同与长期影响力的构建 | "深化合作互动"(带有外交与战略含义) | **小结:** "Deepen engagement" 是一个高度灵活的商业/外交话语,本质上都指"从浅层接触走向深度协作",但具体语境决定了它是在谈**关系资产**(①)、**营收驱动力**(②)还是**战略生态布局**(③)。翻译时需结合上下文选择合适的中文对应词,避免一律译为"加强合作"而丢失语境层次。
AI 评审点评
以下是 AI 评审对该模型输出的点评:
【CLAUDE】候选输出整体表现优秀,完整覆盖了任务的三个核心要求:信息提取无遗漏、翻译质量高且文体得当、语义差异分析深入有层次。格式清晰(表格+分节),可读性强。与参考答案相比,在翻译细节和语义差异分析的表述多样性上略有小差异,但整体质量超出参考答案的基本要求,是一份高质量的商业文本翻译与解读输出。 【GEMINI】模型表现优秀,完全满足了所有任务要求。不仅在信息提取上做到了零遗漏,在翻译的专业度以及对商业语境下语义细微差别的解析上,展现了极高的水平,输出格式规范,逻辑严密。 【KIMI】该候选输出整体质量较高,信息提取完整无遗漏,翻译符合商业文体要求,语义分析有层次有深度。主要改进空间在于翻译用词的精准度(如'本组织')以及语义差异分析中对商业驱动因素和政策外交色彩的更鲜明刻画。
困难难度评测结果
- 得分:92.7 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:
[[reply_to_current]] 好的,以下是完整输出,包含全文翻译、Risk Factors 双语对照、以及完整术语表。 --- ## 一、全文中文翻译 --- ### 执行摘要 在过去的财政年度中,本公司进一步深化了与亚太地区战略合作伙伴的合作关系,合并收入实现23%的同比增长。董事会已批准一项前瞻性资本配置框架,在优先推进内生增长举措的同时,通过股息分配及股份回购计划保持对股东回报的审慎管理。 --- ### 风险因素(中英双语对照) 见下节第二部分。 --- ### 展望 管理层预计2025财年收入将实现中个位数增长,主要受半导体及可再生能源板块的强劲需求驱动。公司拟充分发挥其自主研发的AI驱动需求预测平台的优势,以优化存货周转率,并降低营运资本占用。 > **译法说明:** > - **"mid-single-digit revenue growth"** → **"中个位数增长"**:此为国内券商研报及卖方分析报告的标准惯用表达,与"低个位数(low-single-digit)"、"高个位数(high-single-digit)"形成完整体系,业内通用,表述准确。 > - **"inventory turnover ratios"** → **"存货周转率"**:为国内财务分析及研报的规范术语,亦见于中国证监会信息披露准则及上市公司年报,用法完全符合惯例。 --- ## 二、Risk Factors 中英双语对照 **原文:** > Geopolitical headwinds, including escalating trade tensions and evolving regulatory landscapes in key jurisdictions, pose material risks to the sustainability of cross-border supply chain operations. **译文:** > 地缘政治逆风,包括不断升级的贸易摩擦及主要司法管辖区持续演变的监管环境,对跨境供应链运营的可持续性构成实质性风险。 --- **原文:** > The company has proactively hedged its foreign exchange exposure through a combination of natural hedging and derivative instruments, mitigating potential adverse impacts on operating margins. **译文:** > 本公司已通过自然对冲与衍生金融工具相结合的方式,主动管理外汇敞口,以降低对营业利润率的潜在不利影响。 --- ## 三、术语表 | 英文原文 | 中文译文 | 简要释义 | |---|---|---| | deepened the engagement with | 深化与……的合作关系 | 财经语境中指在战略层面加强与合作方的业务协同与资源整合,强调关系深度而非单纯交易往来,常见于合作伙伴关系或战略联盟的正式表述。 | | forward-looking capital allocation framework | 前瞻性资本配置框架 | 指企业基于未来战略目标,就资本在有机增长、并购、分红、回购等用途之间的优先顺序所制定的系统性安排,体现董事会对资源配置的长期规划导向。 | | natural hedging(自然对冲) | 自然对冲 | 指企业通过业务结构本身来抵消汇率或价格风险,例如在同一货币区域同步实现收入与成本的匹配,无需借助金融工具。其本质是**以经营安排替代金融手段**,成本较低但灵活性有限,对冲效果依赖业务结构的天然匹配程度。**与衍生工具的本质区别**:自然对冲属于结构性风险管理,是通过资产负债或收支的货币匹配来被动抵消风险;而衍生工具是主动介入金融市场,以合约形式锁定价格或汇率,两者在操作主动性、成本结构及会计处理上均存在根本差异。 | | derivative instruments(衍生金融工具) | 衍生金融工具 | 指其价值衍生自基础资产(如外汇、利率、大宗商品)的金融合约,常见形式包括远期合约、期权、期货及掉期。企业使用衍生工具进行对冲,是**主动在金融市场上构建对冲头寸**,可精确锁定特定风险敞口,但涉及保证金、信用风险及公允价值计量等复杂因素,需依据IFRS 9或ASC 815进行套期会计处理。**与自然对冲的本质区别**:衍生工具是独立于经营活动之外的金融层面干预,灵活度高、可量身定制,但引入了对手方信用风险及衍生品本身的市场风险。 | | FY2025 | 2025财年 |...
AI 评审点评
以下是 AI 评审对该模型输出的点评:
【CLAUDE】候选输出整体质量优秀,全面满足了用户的多层次复合需求。翻译专业规范,双语对照格式正确,术语表完整且释义详尽,意图追踪准确。在参考答案基础上,候选输出提供了更丰富的术语释义和译法说明,体现了较高的专业水准。minor不足在于全文翻译部分将Risk Factors双语对照单独分节处理,导致结构略显分散,但不影响实质内容的完整性。 【GEMINI】模型表现出色,不仅完美执行了所有复杂的指令要求,而且在财经专业术语的翻译与解释上展现了极高的专业水准。对于风险管理策略的本质区别分析深入浅出,完全符合专业评测标准。 【KIMI】候选输出整体质量较高,翻译专业性强,能够主动回应用户的隐含需求(如添加译法说明)。主要问题在于结构安排:将Risk Factors的中文翻译从第一部分剥离导致「全文翻译」不完整,以及术语表释义过于冗长、重点分散。建议在执行复杂多重要求时,更严格地遵循「完整呈现每一部分」的原则,避免为追求格式创新而牺牲内容的完整性和可读性。
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