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Author

Solomon Xu

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Conference Open access Oct 2026

When Relevance Is Not Enough: Minimal Support Recovery for Faithful RAG Reasoning

Retrieval-augmented generation (RAG) can make large language model outputs more traceable by conditioning generation on retrieved evidence. However, retrieving relevant-looking evidence is not the same as retrieving the complete support needed for reasoning. In multi-step reasoning tasks, a retriever may return rules t...

Solomon Xu, Marjan Asadinia · 0 citations
Conference Sep 2026

The Faithfulness Gap: Evaluating Dependency Faithfulness in LLM Reasoning via Minimal Support Recovery

Current evaluations of logical reasoning in large language models (LLMs) often conflate correct answer prediction with correct logical derivation. We formalize dependency-faithful reasoning: given facts, rules, and a query, a model must output both an entailment label and the rule identifiers forming the minimal suppor...

Solomon Xu, Marjan Asadinia · 0 citations

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