CERA fine-tunes a dense retriever with triplet contrastive learning plus attention alignment to human rationales, claiming better retrieval effectiveness and faithfulness on clinical trial reports than Contriever and standard hard-negative baselines.
Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
People infer the foil of a why-question mainly from hindsight expectations about what the asker finds surprising after the outcome.
citing papers explorer
-
Beyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAG
CERA fine-tunes a dense retriever with triplet contrastive learning plus attention alignment to human rationales, claiming better retrieval effectiveness and faithfulness on clinical trial reports than Contriever and standard hard-negative baselines.
-
Why Someone Asked "Why": Foil Inference in Human and LLM Question Interpretation
People infer the foil of a why-question mainly from hindsight expectations about what the asker finds surprising after the outcome.