Papers by Yabing Shi

2 papers
PedagogyBench: A Cognitive-Driven Benchmark for Multimodal Instructional Video Understanding (2026.findings-acl)

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Challenge: Existing video understanding benchmarks do not adequately capture the pedagogical logic embedded in instructional videos.
Approach: They propose a pedagogy-driven segmentation strategy and a dual-stream semantic injection pipeline that combines machine pre-annotation with expert refinement.
Outcome: The proposed model performs well on discriminative tasks but degrades on higher-order pedagogical diagnosis, relying on parametric memory rather than grounded visual perception.
EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction (2022.naacl-main)

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Challenge: Existing studies only explore entity representations, but propose a novel triple perspective for relation extraction.
Approach: They propose to explicitly introduce relation representation and jointly represent it with entities to identify valid triples.
Outcome: The proposed method is based on ablations and document-level relation extraction and joint entity and relation extraction.

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