Author

Shuochen Liu

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Preprint Aug 2026

SAFE-G: Structure-aware Faithful Evidence-guided Generation for Knowledge-based Visual Question Answering

This work proposes SAFE-G, a Structure-Aware Faithful Evidence-guided Generation framework, which enables precise evidence localization and trustworthy reasoning and introduces a reinforcement learning strategy with an evidence-grounded reward that assigns credit to correct answers only when the selected evidence is correct.

Long Shu, Shuochen Liu, Wei Chen et al. · 0 citations

Preprint Aug 2026

Incorporating Cognitive Load and Knowledge Transfer for Multi-Domain Knowledge Tracing

LT-MKT first integrates textual information from questions and their associated concepts to construct a Multi-domain Hierarchical Graph, leveraging the advanced representational capabilities of large language models (LLMs) to bridge isolated domains and proposes a novel method incorporating cognitive Load and knowledge Transfer.

Haotian Zhang, Shucun Wang, Jinze Wu et al. · 0 citations