Papers with SMMs

2 papers
A Top-down Graph-based Tool for Modeling Classical Semantic Maps: A Case Study of Supplementary Adverbs (2025.naacl-long)

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Challenge: Semantic map models (SMMs) construct a network-like conceptual space from cross-linguistic instances or forms based on the connectivity hypothesis.
Approach: They propose a graph-based algorithm that automatically generates conceptual spaces and SMMs in a top-down manner.
Outcome: The proposed model is compared with human annotations and other automated methods on cross-linguistic supplementary adverbs.
LEAF: Towards Lightweight Explainable Hateful Video Detection via Self-Grounding CoT Guided Stage-Wise Distillation (2026.findings-acl)

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Challenge: Existing methods for detecting hateful videos rely on opaque models with no insight into their decisions.
Approach: They propose a lightweight, explainable video detection framework that distills "explainability" from LMMs into efficient Smaller Multimodal Models (SMMs) they use a self-grounded chain-of-thought mechanism to generate unbiased supervision signals for videos .
Outcome: The proposed framework outperforms existing methods in detection accuracy and explainability on three video benchmarks.

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