An instruction-conditioned channel gate on pre-aligned visual tokens improves grounding in LLaVA-style models on most reported benchmarks, but the mechanism is undercut by the paper's own ablation and the abstract overstates coverage.
Mmlu-pro: A more robust and challenging multi-task language understanding benchmark, 2024
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
MoDA: Modulation Adapter for Fine-Grained Visual Grounding in Instructional MLLMs
An instruction-conditioned channel gate on pre-aligned visual tokens improves grounding in LLaVA-style models on most reported benchmarks, but the mechanism is undercut by the paper's own ablation and the abstract overstates coverage.