pith:3AKINPDP
From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
A review organizes roughly 60 benchmarks for large language models and autonomous agents into one taxonomy covering reasoning, code, and real-world tasks.
arxiv:2504.19678 v2 · 2025-04-28 · cs.AI · cs.LG
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Claims
we present a side-by-side comparison of benchmarks developed between 2019 and 2025 that evaluate these models and agents across multiple domains... we propose a taxonomy of approximately 60 benchmarks that cover general and academic knowledge reasoning, mathematical problem-solving, code generation and software engineering, factual grounding and retrieval, domain-specific evaluations, multimodal and embodied tasks, task orchestration, and interactive assessments.
the landscape remains fragmented and lacks a unified taxonomy or comprehensive survey, which the authors' proposed taxonomy of approximately 60 benchmarks is assumed to resolve without major omissions or selection bias in the covered works.
A survey consolidating benchmarks, agent frameworks, real-world applications, and protocols for LLM-based autonomous agents into a proposed taxonomy with recommendations for future research.
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| First computed | 2026-05-17T23:38:53.741627Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3AKINPDPEY5E4DLPOLPFFZDOXI \
| jq -c '.canonical_record' \
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# expect: d81486bc6f263a4e0d6f72de52e46eba1eacab61c38fac9bd7279d6350bc4f6b
Canonical record JSON
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