doubao-seed-1-8 在「报告术语概念问答」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:doubao-seed-1-8
  • 用例名称:报告术语概念问答
  • 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:

以下是当前工作区中的文档 `project_report.docx` 的内容: **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 --- **第4章 资源投入与成本分析** 本季度项目总投入预算为 580 万元,实际支出 542 万元,预算执行率为 93.4%。其中,人力成本占比 62%,外部采购占比 23%,差旅及其他占比 15%。 在成本管控方面,本项目采用了"阶梯式成本核销"机制,即各子项目按照里程碑节点分阶段提交费用核销申请,每一阶段的核销需经上一阶段审批通过后方可启动,未通过审批的阶段费用将自动回滚至项目资金池。该机制有效避免了预算超支和资金沉淀问题,使得本季度资金利用效率同比提升 12%。 --- 请问:报告中提到的"阶梯式成本核销"指的是什么意思?

任务要求

AI 模型需要满足以下要求:

  1. 准确解释'阶梯式成本核销'的含义,不能编造文档中不存在的信息
  2. 解释需涵盖三个关键要素:按里程碑分阶段核销、上一阶段审批通过后才能启动下一阶段、未通过审批的费用回滚至资金池
  3. 回答应基于文档原文进行归纳总结,语言清晰易懂

评测结果

综合得分

该模型在此用例的得分为:97.5 分(满分 100 分),已通过

基础难度评测结果

  • 得分:97.5 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:

“阶梯式成本核销”是该项目采用的成本管控机制,具体含义为: 1. **分阶段核销**:各子项目按照项目里程碑节点,将费用核销拆分为多个阶段,分批次提交核销申请; 2. **审批前置约束**:必须在上一阶段的核销申请通过审批后,才能启动下一阶段的核销流程; 3. **费用回滚规则**:如果某一阶段的核销申请未通过审批,该阶段对应的费用会自动退回项目资金池,不会被核销。 这一机制的核心作用是通过分阶段审批和资金回滚,避免预算超支和资金沉淀问题,报告显示该机制使本季度项目资金利用效率同比提升了12%。

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】候选回答质量优秀,完整、准确地解释了「阶梯式成本核销」的含义,三个关键要素均有覆盖且表述精准,结构清晰,完全忠实于文档原文,无任何信息失真或外部引入。整体表现接近满分水平。 【GEMINI】模型对文档内容的理解非常准确,能够精准提炼出关键术语的定义,并以条理清晰的方式呈现,完全符合评测要求。 【KIMI】该候选输出表现优秀,准确理解了文档内容,完整提取了「阶梯式成本核销」的三个核心要素,表达条理清晰,且严格忠实于原文,未添加任何外部信息。整体质量较高,可作为该类型任务的标杆回答。

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