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HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning research paper by Alibaba (Qwen), 2026

Alibaba (Qwen) · Mar 17, 2026 · Reasoning · 5 citations · 65 upvotes · unverified

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What it shows

HopChain is a scalable framework that generates multi-hop vision-language reasoning data to enhance VLMs' long-chain reasoning capabilities across diverse benchmarks.

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

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About this paper
Authors
Shenzhi Wang, Shixuan Liu, Jing Zhou and 8 more
arXiv
2603.17024 · PDF
Venue
arXiv.org
Citations
5, 0 influential · Semantic Scholar
Upvotes
65 · Hugging Face
Lab
Alibaba (Qwen) · on Companies · on Quarterly

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 5Sep 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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