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Get Started Free →Use when building or auditing the related-work section of an ACM MM (ACM Multimedia) paper — covering the multimedia literature spread across vision, audio/speech, language, HCI/QoE, and systems, handling arXiv-speed concurrency, keeping citations double-blind, and verifying that cited "ACM MM papers" are ACM MM and not ICMR, MMSys, CVPR, or TOMM.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -5% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 8% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 9% | 0% |
| case-15 | ✗→✓ | ▲ Improved | 18% | 0% |
| case-16 | ✗→✓ | ▲ Improved | -62% | 0% |
Use this to position an ACM Multimedia paper against a literature that is unusually spread out: a cross-modal contribution touches several single-modality communities plus the multimedia venues that combine them.
A strong ACM MM related-work section shows command of all shelves the contribution touches, not just the author's home community:
audio.
the claim is subjective.
| Task | What to do | Failure it prevents | |---|---|---| | Cover each modality you use | Cite the current best single-modality work per stream | "You ignored the vision literature" | | Cite the fusion lineage | Trace the cross-modal line your method extends | "No delta over existing fusion" | | Verify the venue string | Confirm each "ACM MM" cite on dblp conf/mm | Misattributing an ICMR/CVPR paper to ACM MM | | Handle concurrency | Note contemporaneous arXiv work honestly | "You missed / overclaimed novelty vs. X" | | Keep it blind | Cite your own prior work in third person | Double-blind violation |
Do not enumerate. For each closest neighbor, state in one clause what it did and in one clause what your paper adds — and make sure the delta is cross-modal, since "we swap a better encoder" is a single-modality delta a reviewer will discount.
text[Neighbor] Late-fusion audio-visual highlight scoring (VenueYear). [Their move] Average per-modality scores. [Our delta] Score the timing DISAGREEMENT between streams — a signal averaging cannot represent.
Multimedia sub-areas move fast and preprint heavily. Acknowledge genuinely concurrent work (roughly same-window preprints) as concurrent rather than prior, do not claim to beat a method you did not run, and do not silently drop a close preprint — a reviewer who knows it reads the omission as evasion.
previous paper."
uses.
the main track and Brave New Ideas do not.
textPass 1: list the modalities and sub-fields your contribution touches (the shelves). Pass 2: for each shelf, cite the current strongest 2-3 works you build on or beat. Pass 3: trace the FUSION lineage — the cross-modal line your method extends — as its own thread. Pass 4: add same-window arXiv work as concurrent, not prior. Pass 5: verify every "ACM MM" cite on dblp; convert your self-cites to third person.
A reader should finish the section able to name which prior fusion approach you improve on and why the single-modality shelves are covered but not the whole story.
Because a cross-modal paper sits between communities, the dangerous omission is usually the other community's closest work — a vision-trained author who misses the audio or IR paper that already did half the job. Before submitting, ask a question from each shelf's perspective: "what would an audio reviewer, an IR reviewer, and a systems reviewer each say I missed?" That triage catches the omissions that sink cross-area papers.
Before submission, spot-check every citation that claims an ACM MM placement against dblp's conf/mm edition record. The common traps: ICMR papers cited as ACM MM, TOMM journal articles cited as the conference, and CVPR/ICCV vision papers cited as multimedia. Fix the venue string or the claim that rests on it.
text[Shelf coverage] vision/audio/language/HCI-QoE/multimedia — <covered / gaps> [Fusion lineage] traced / missing [Deltas] cross-modal and specific / single-modality or vague: <list> [Concurrency] handled / risky omissions: <list> [Blindness] clean / leaks: <list> [Venue hygiene] verified / suspect cites: <list>
Other measured skills in the registry, with their headline benchmark lift.