qwen3.5-flash 在「个人陈述口语转书面」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：qwen3.5-flash
- 用例名称：个人陈述口语转书面
- 测试类型：xsct-a
- 评测维度：文档润色与优化
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：
以下是当前工作区中的文档 `project_report.docx` 摘要： **文档标题**：2024年第三季度项目进展报告 **作者**：产品运营部 **字数**：约 3200 字 **章节结构**： 1. 执行摘要 2. 项目背景与目标 3. Q3 主要里程碑完成情况 4. 资源投入与成本分析 5. 风险与问题记录 6. Q4 工作计划 7. 附件：数据支撑材料 --- 我正在准备硕士申请的个人陈述，下面这段话写得比较口语化、结构也比较松散，请帮我润色成正式的学术申请风格英文。要求： 1. 保留所有原始信息点，不要添加没有提到的经历或成就； 2. 语气正式、自信但不夸张； 3. 逻辑衔接更紧凑，段落结构更清晰； 4. 修正任何语法或用词不当之处。 原文如下： "Although I do not have hands-on laboratory research experience, I bring a solid record of competition-based achievements. Throughout my undergraduate years, I took part in multiple inter-university contests. The turning point came when I joined a regional debate competition. Growing up, I was quite introverted and often struggled to speak up for my own ideas, even in work-like situations. When I started college, I realized this was holding me back, so I decided to push past it. Now I feel much more confident when I present my views, and I believe the master's program will give me the right setting to keep building my leadership abilities."
任务要求
AI 模型需要满足以下要求：
- 输出为完整的润色后英文段落，风格符合硕士申请个人陈述的正式学术语体
- 保留原文所有信息点：无实验室经历、竞赛成绩、区域辩论赛经历、曾经内向、大学期间决心改变、现在更自信、期望硕士项目提升领导力
- 不得凭空添加原文未提及的经历、数据或成就
- 语法正确，用词精准，逻辑衔接自然紧凑
- 语气自信而不浮夸，避免过度使用形容词或空泛表述
评测结果
综合得分
该模型在此用例的得分为：91.5 分（满分 100 分），已通过
基础难度评测结果
- 得分：91.5 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：
[[reply_to_current]] Here is the polished version of your personal statement paragraph: --- Although I lack direct laboratory research experience, I have cultivated a strong foundation through competitive achievements. During my undergraduate studies, I actively participated in numerous inter-university competitions. A pivotal moment occurred when I joined a regional debate tournament. Having grown up as an introvert who often found it difficult to articulate my ideas—even in professional settings—I recognized early in college that this tendency was hindering my growth. Consequently, I made a deliberate commitment to overcome this limitation. Through sustained practice and exposure, I have developed significantly greater confidence in articulating and defending my perspectives. I am confident that the master's program will provide an ideal environment to further cultivate these skills and strengthen my leadership capabilities. --- **Key improvements made:** | Original | Revised | Reason | |----------|---------|--------| | "hands-on laboratory" | "direct laboratory" | More concise academic phrasing | | "solid record" | "strong foundation" | Better collocation in academic context | | "took part in" | "actively participated in" | More formal register | | "The turning point came when" | "A pivotal moment occurred when" | More sophisticated transition | | "work-like situations" | "professional settings" | Correct terminology | | "push past it" | "overcome this limitation" | Formal expression | | "present my views" | "articulating and defending my perspectives" | More precise academic vocabulary | | "right setting" | "ideal environment" | Standard academic phrasing | The revised version maintains all your original information points while elevating the tone to meet graduate school application standards.
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，完整保留了原文所有信息点，语言质量有实质性提升，风格符合硕士申请个人陈述的正式学术语体要求，段落结构清晰、逻辑连贯。附带的改动对照表是额外加分项，体现了对改动原则的清晰说明。与参考答案相比，部分句式过渡略显生硬（如「A pivotal moment occurred when」独立成句），整体流畅度和文学感略逊一筹，但已达到较高的专业水准，可直接用于实际申请材料。 【GEMINI】模型出色地完成了润色任务，不仅提升了语言的学术严谨性，还通过对比表格清晰地展示了修改逻辑，极大地增强了用户体验。整体输出完全符合硕士申请个人陈述的风格标准。 【KIMI】该候选输出是一份高质量的学术润色成果，完整保留了原文所有信息点，语言正式得体，符合硕士申请文书的风格要求。改进建议包括：可进一步强化时间线的层次感，以及使结尾的技能指代更具体明确。总体而言，这是一份可直接使用的优秀润色版本。
进阶难度评测结果
- 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：
本季度，团队严格围绕既定核心目标稳步推进各项工作，主要里程碑均已按计划达成。用户规模实现显著增长，环比增幅约30%。在资源投入方面，整体成本控制良好，基本未超出预算框架，仅个别细分领域出现小幅超支。技术层面虽在推进过程中遇到若干挑战，但均已妥善解决。展望第四季度，团队将持续推动新功能上线，进一步优化用户体验；需特别关注技术债务累积可能带来的潜在风险，提前制定应对预案。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出整体质量较高，正式书面语水准达到高管层阅读标准，五个核心信息点保留完整，「约30%」替换和Q4风险提示均已落实。主要不足在于字数略低于150字下限（约140字），未完全满足字数约束。风险提示中「技术债务累积」的表述合理且专业，属于对原文技术挑战的恰当延伸。整体而言是一份高质量的润色输出。 【GEMINI】模型表现出色，不仅精准完成了语言风格的转换，还严格遵循了所有附加约束条件。生成的文本逻辑严密、用词得体，非常适合高管层阅读，展现了极高的专业度。 【KIMI】候选输出是一份高质量的高管层汇报文本，在语言正式度、信息完整性和约束满足度上均表现优异。Q4风险提示句采用「技术债务累积」的专业表述，既忠实于原文「技术那边碰到了一些坑」的信息，又提升了文本的专业深度，体现了良好的业务理解能力。
困难难度评测结果
- 得分：5.0 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：
我需要先查看文件的当前内容，以便进行精确的编辑修改。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出极度不完整，仅输出了一句准备性陈述，未执行用户要求的任何实质操作。用户明确要求使用 edit 工具对两处内容进行精确修改，但模型停留在「准备读取文件」阶段即终止，未完成任何修改，未调用任何工具，核心任务完全失败。这是一次严重的任务执行失败。 【GEMINI】模型在面对明确的编辑指令时，表现出极低的执行力。它没有直接执行用户要求的 edit 操作，而是回复了一句无效的「需要先查看文件」，这不仅浪费了交互轮次，也未能满足任务中对工具使用和精确修改的要求。 【KIMI】模型输出完全失败。用户明确要求使用 edit 工具对文件进行两处精确修改，但模型仅回复了一句说明性文字，未执行任何实际动作，也未输出修改后的内容。这可能是因为模型将「预设上下文」中的空 Assistant 回复误解为需要由自己填充，但实际上用户已经给出了明确的第二轮修改指令。模型未能理解当前处于需要立即执行工具调用的阶段，导致任务彻底未完成。
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