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pith:L2P4S757

pith:2026:L2P4S757ZPAEOW3TOZALVQZPZ6
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UniToolCall: Unifying Tool-Use Representation, Data, and Evaluation for LLM Agents

Changyu Zeng, Hao Wu, Wei Xing, Xiaoyu Shen, Xinghao Chen, Yifan Ge, Yijuan Liang, Ziyi Wu

UniToolCall standardizes tool-use data and evaluation so that a fine-tuned 8B model reaches 93 percent precision on complex agent tasks.

arxiv:2604.11557 v2 · 2026-04-13 · cs.AI

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4 Citations open
5 Replications open
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Claims

C1strongest claim

fine-tuning Qwen3-8B on our dataset substantially improves tool-use performance. Under the distractor-heavy Hybrid-20 setting, achieves 93.0% single-turn Strict Precision, outperforming commercial models including GPT, Gemini, and Claude.

C2weakest assumption

That combining public datasets with structurally controlled synthetic trajectories and the Anchor Linkage mechanism produces training data that genuinely improves generalization to real tool-use scenarios without introducing artifacts or biases.

C3one line summary

UniToolCall unifies tool-use data and evaluation for LLM agents, enabling fine-tuned models to reach 93% single-turn precision on a challenging benchmark with distractors.

Receipt and verification
First computed 2026-05-26T02:04:10.595138Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

5e9fc97fbfcbc0475b737640bac32fcfbbb2ef75e0bd05da7906d773599c3ca0

Aliases

arxiv: 2604.11557 · arxiv_version: 2604.11557v2 · doi: 10.48550/arxiv.2604.11557 · pith_short_12: L2P4S757ZPAE · pith_short_16: L2P4S757ZPAEOW3T · pith_short_8: L2P4S757
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L2P4S757ZPAEOW3TOZALVQZPZ6 \
  | 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: 5e9fc97fbfcbc0475b737640bac32fcfbbb2ef75e0bd05da7906d773599c3ca0
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-04-13T14:43:47Z",
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