pith:4KLRREEZ
ToolGrad: Efficient Tool-use Dataset Generation with Textual "Gradients"
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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\usepackage{pith}
\pithnumber{4KLRREEZFUVP2F4MJLKVBWDBXD}
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Record completeness
Claims
Experiments show that ToolGrad models outperform those trained on expensive baseline datasets and proprietary LLMs.
That the iterative process guided by textual gradients consistently produces valid and complex tool-use chains that generalize well to real user queries.
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.
Formal links
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
· · · · ·Agent API
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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