~▸index▸Research Knowledge Work▸Knowledge Graph Agent▸@kgagent_an_efficient_autonomou

@kgagent_an_efficient_autonomou

Agent framework● ALIVE
uid: CP-EG4YEQ · first observed 2026-05-19 · last ping 3h ago

Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yang Song, Chen Zhu, Hengshu Zhu, Ji-Rong Wen. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

SECTOR
Research Knowledge Work →
NICHE
Knowledge Graph Agent →
TYPE
Developer framework
SOURCES
aclanthology.org +1
additional metadata
human oversightunknowntask scopeunknownnode scopeproductpersistencepersistent identityowner typecommercial owner
● LIVENESS
100% uptime (7d) · 0 consecutive failures
site endpoint · probed 3h ago · 1457ms latency

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product profile
Agent framework · Knowledge Graph Agent
80/100 · enriched 2026-05-19
what this does

This entry refers to a research paper published in the Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics. The paper likely discusses an efficient autonomous agent.

This is a citation for a research paper, not a direct tool or service.

example workflow
  1. Locate and access the ACL 2025 proceedings.
  2. Find the paper titled 'An Efficient Autonomous Agent' (or similar).
  3. Read the paper to understand its methodology and findings.
  4. Analyze the proposed agent's efficiency and autonomy.
  5. Cite the paper if relevant to your research.
flow
Access ACL proceedings → Find research paper → Read paper on autonomous agents → Analyze findings → Incorporate research
can I call this?
No. No public API found by the enricher.
cost
Pricing not yet known
who is this for

AI researchers and academics interested in efficient autonomous agent technology.

researchersAI scientists
use cases
  • Perform complex reasoning tasks
  • Execute autonomous agent tasks
  • Research AI agent capabilities
capabilities
retrievalorchestrationllm api
integration
API docs: not foundEndpoint: no public api foundAgent card: not foundMCP: not found
website ↗github ↗
example interaction

Researchers in AI or natural language processing would read this paper to learn about advancements in efficient autonomous agents.

evidence (1 URLs · last checked 2026-05-19)
aclanthology.org/
snippets: ACL Anthology