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DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems research paper by Microsoft, 2025

Microsoft · Dec 7, 2025 · Agents and evaluation · 16 citations · 28 upvotes · unverified

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What it shows

DoVer, an intervention-driven debugging framework, enhances reliability in LLM-based multi-agent systems by actively validating failure hypotheses and measuring task progress through targeted interventions.

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

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About this paper
Authors
Ming Ma, Jue Zhang, Fangkai Yang and 4 more
arXiv
2512.06749 · PDF
Venue
arXiv.org
Citations
16, 3 influential · Semantic Scholar
Upvotes
28 · Hugging Face
Lab
Microsoft · on Companies · on Acquisitions · on Quarterly · on Paydays · on Releases · on TechConf

Changes

What changed
Influential citationsfirst count: 3Sep 25, 2026
Citationsfirst count: 16Sep 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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