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pith:4KLRREEZ

pith:2025:4KLRREEZFUVP2F4MJLKVBWDBXD
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ToolGrad: Efficient Tool-use Dataset Generation with Textual "Gradients"

Haoyu Zhang, Jingtao Zhou, Kohei Uehara, Lin Gu, Ruofei Du, Tatsuya Harada, Zheng Xu, Zhongyi Zhou

ToolGrad generates superior tool-use training data by building valid chains first with textual gradients before creating queries.

arxiv:2508.04086 v3 · 2025-08-06 · cs.CL

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

Experiments show that ToolGrad models outperform those trained on expensive baseline datasets and proprietary LLMs.

C2weakest assumption

That the iterative process guided by textual gradients consistently produces valid and complex tool-use chains that generalize well to real user queries.

C3one line summary

ToolGrad inverts the standard tool-use dataset synthesis process by constructing valid tool chains first with textual gradients, producing a high-quality 500-example dataset with near-perfect validity and superior model performance.

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Receipt and verification
First computed 2026-06-19T16:11:12.063344Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

e2971890992d2afd178c4ad550d861b8ed46163cd378709957b2d3f4e5434af3

Aliases

arxiv: 2508.04086 · arxiv_version: 2508.04086v3 · doi: 10.48550/arxiv.2508.04086 · pith_short_12: 4KLRREEZFUVP · pith_short_16: 4KLRREEZFUVP2F4M · pith_short_8: 4KLRREEZ
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4KLRREEZFUVP2F4MJLKVBWDBXD \
  | 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: e2971890992d2afd178c4ad550d861b8ed46163cd378709957b2d3f4e5434af3
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2025-08-06T05:04:00Z",
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