Evaluates 42 variants of foundation models across three formalized paradigms for missing modality reconstruction, identifies shortfalls in semantic extraction and validation, and introduces an agentic framework that reduces FID by at least 14% for images and MER by at least 10% for text.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2025 2verdicts
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Survey of 188 engineers using SEM finds that UTAUT2 constructs influence LLM adoption differently across five SE purposes, with some factors showing negative effects when examined in isolation.
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How Far Are We from Generating Missing Modalities with Foundation Models?
Evaluates 42 variants of foundation models across three formalized paradigms for missing modality reconstruction, identifies shortfalls in semantic extraction and validation, and introduces an agentic framework that reduces FID by at least 14% for images and MER by at least 10% for text.
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Exploring Individual Factors in the Adoption of LLMs for Specific Software Engineering Purposes
Survey of 188 engineers using SEM finds that UTAUT2 constructs influence LLM adoption differently across five SE purposes, with some factors showing negative effects when examined in isolation.