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WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization research paper by Alibaba (Qwen), 2025

Alibaba (Qwen) · Jul 20, 2025 · Reasoning · 113 citations · 53 upvotes · unverified

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What it shows

WebShaper, a formalization-driven framework, synthesizes information-seeking datasets using set theory and Knowledge Projections to enhance reasoning structure and achieve top performance in open-sourced benchmarks.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Zhengwei Tao, Jialong Wu, Wenbiao Yin and 10 more
arXiv
2507.15061 · PDF
Venue
arXiv.org
Citations
113, 16 influential · Semantic Scholar
Upvotes
53 · Hugging Face
Code
github.com/Alibaba-NLP/WebWalker
Lab
Alibaba (Qwen) · on Companies · on Quarterly

Changes

What changed
Influential citationsfirst count: 16Sep 25, 2026
Citationsfirst count: 113Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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