GHI introduces an incidence-based structural reasoning layer using Graphormer on conditioned hypergraphs for ABSA, reporting outperformance on SemEval benchmarks, near-parity with 11B models at 247M parameters, and robustness on ARTS.
Local aggressive and physically realizable adversarial attacks on 3d point cloud
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
DABS is a single-pass framework that builds a depth-ordered substrate from one Transformer encoding and performs lightweight aspect-conditioned readout, cutting computation by up to 60% on multi-aspect ATSA benchmarks while matching prior accuracy.
MAPR improves adversarial robustness in 3D point cloud networks by aligning latent predictions with intrinsic manifold geometry via curvature/diffusion features and a consistency loss.
citing papers explorer
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GHI: Graphormer over Conditioned Hypergraph Incidence for Aspect-Based Sentiment Analysis
GHI introduces an incidence-based structural reasoning layer using Graphormer on conditioned hypergraphs for ABSA, reporting outperformance on SemEval benchmarks, near-parity with 11B models at 247M parameters, and robustness on ARTS.
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Single-Pass, Depth-Selective Reading for Multi-Aspect Sentiment Analysis
DABS is a single-pass framework that builds a depth-ordered substrate from one Transformer encoding and performs lightweight aspect-conditioned readout, cutting computation by up to 60% on multi-aspect ATSA benchmarks while matching prior accuracy.
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Beyond Defenses: Manifold-Aligned Regularization for Intrinsic 3D Point Cloud Robustness
MAPR improves adversarial robustness in 3D point cloud networks by aligning latent predictions with intrinsic manifold geometry via curvature/diffusion features and a consistency loss.