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ENT-00002671 · Benchmark

AdvBench

AdvBench is a AI benchmark associated with LLM safety research community, classified in LXKeys.world as AI Benchmark / Evaluation.

Level V PersistentActiveDocumented
Human record

Overview

AdvBench is an AI evaluation entity associated with LLM safety research community. It is documented as adversarial behavior benchmark and helps evaluate model behavior, safety, reasoning, agents, tools, code, reinforcement learning or embodied interaction.

Timeline

  1. 2023Initial benchmark release

    AdvBench entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.

Capabilities

Evaluation protocol documentationModel comparison supportTask taxonomy mappingReproducible benchmark anchoringRelationship graph compatibility

Known limitations

Benchmark results can become stale as models improve and evaluation protocols evolve.A benchmark measures a defined task scope rather than complete intelligence.
Technical and structured detail

Technical description

Structured LXKeys.world registry record for AdvBench. Entity type: Benchmark; classification: AI Benchmark / Evaluation; creator/organization context: LLM safety research community. Canonical source anchor: https://github.com/llm-attacks/llm-attacks. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Controlled tags

BenchmarkEvaluationAI SafetyAgent Evaluation
Relationship graph

AdvBench

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AdvBench
Associated organizationOutgoing
LLM safety research community

LLM safety research community is the organization, project community or institutional context associated with AdvBench.

Domain contextOutgoing
AI evaluation

AdvBench belongs to the AI evaluation layer of the intelligent-entity registry.

Machine readable layer

Structured entry data for human tools, AI systems and machine clients.

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    "sameAs": "https://github.com/llm-attacks/llm-attacks",
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        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
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            "start_date_utc": "2023-04-01",
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