Skip to content

Translation in progress Some entries still include text in the original language.

Oct 12 · Monday

All papers

Found 1 paper
Filter4

System type

LLM applications4AI Agent83coding agent10science agent1Multi-agent systems12

Layer

Application layer1

System component

Memory0Guardrails and judges4Monitors3Reasoning chains1Permissions and sandboxing3
Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 255papers have no tags yet and are not included in filtered results.
System type：science agentLayer：Application layerSystem component：MemorySystem component：Reasoning chainsClear all

Another 255papers do not have category tags yet and are not included in filtered results.

  1. Evaluation and benchmarksarXiv 2608.00711

    SCHEMA：面向科学 Agent 幻觉的拓扑感知评测框架

    提出 SCHEMA，用概念图与轨迹分评测科学 Agent 幻觉

    arXiv
    2608.00711
    Published
    Layer
    Application layer
    Setting
    science agent
    Evaluated models
    Kimi-K2.5, Qwen3.6-Plus, Llama-4-Scout and others10
    AbstractSCHEMA 用知识拓扑评估科学智能体幻觉，终答正确仍可能来自有缺陷的中间推理。

    SCHEMA 是面向科学智能体幻觉的证据锚定评测框架，实例化在生物医学的 Protein Domain 与 PathVQA-Enhanced。作者在摘要中称它是首个同时做到证据锚定和拓扑感知的此类框架。

    Paper analysisRead analysis
You have reached the end