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pith:2026:ZZDXTWYHRWI6LK3OBPS25E5OPI
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BoostTaxo: Zero-Shot Taxonomy Induction via Boosting-Style Agentic Reasoning and Constraint-Aware Calibration

Leizhen Wang, Yancheng Ling, Zhenliang Ma, Zhenlin Qin

BoostTaxo induces taxonomies from domain terms using a boosting-style LLM framework in zero-shot settings.

arxiv:2605.12520 v1 · 2026-04-03 · cs.CL · cs.AI

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Claims

C1strongest claim

The unified BoostTaxo is evaluated on three public benchmark datasets, namely WordNet, DBLP, and SemEval-Sci, and achieves superior or comparable performance to state-of-the-art methods in zero-shot taxonomy induction.

C2weakest assumption

That the combination of retrieval-augmented definition refinement, hybrid parent candidate selection, and structure-aware score calibration will consistently produce reliable taxonomies without inheriting biases from the underlying LLMs or requiring domain-specific tuning.

C3one line summary

BoostTaxo introduces a boosting-style LLM framework for zero-shot taxonomy induction that uses hybrid candidate selection and constraint-aware calibration to achieve superior or comparable performance to prior methods on WordNet, DBLP, and SemEval-Sci benchmarks.

References

49 extracted · 49 resolved · 2 Pith anchors

[1] Hiexpan: Task-guided taxonomy construction by hierarchical tree expansion, 2018
[2] Setexpan: Corpus- based set expansion via context feature selection and rank ensemble, 2017
[3] Automatic taxonomy con- struction from keywords, 2012
[4] An intent taxonomy for questions asked in web search, 2021
[5] Efficiently answering technical questions—a knowledge graph approach, 2017

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Receipt and verification
First computed 2026-05-18T03:10:02.874357Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

ce4779db078d91e5ab6e0be5ae93ae7a2a52a5ec041bc88f809c8ac02fe1afab

Aliases

arxiv: 2605.12520 · arxiv_version: 2605.12520v1 · doi: 10.48550/arxiv.2605.12520 · pith_short_12: ZZDXTWYHRWI6 · pith_short_16: ZZDXTWYHRWI6LK3O · pith_short_8: ZZDXTWYH
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZZDXTWYHRWI6LK3OBPS25E5OPI \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: ce4779db078d91e5ab6e0be5ae93ae7a2a52a5ec041bc88f809c8ac02fe1afab
Canonical record JSON
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