A framework mines spatial, functional, and qualitative commonsense constraints from SGG training data and uses them to correct ranked predictions at inference, yielding consistent gains on three benchmarks.
Breslin, and Edward Curry
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A literature survey that introduces a taxonomy for LLM reasoning paradigms, analyzes methodological trends, and synthesizes failure modes from over 300 papers.
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Visual Commonsense Driven Knowledge Refinements for Scene Graph Generation
A framework mines spatial, functional, and qualitative commonsense constraints from SGG training data and uses them to correct ranked predictions at inference, yielding consistent gains on three benchmarks.
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The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes
A literature survey that introduces a taxonomy for LLM reasoning paradigms, analyzes methodological trends, and synthesizes failure modes from over 300 papers.