Papers by Jingjin Wang
PropRAG: Guiding Retrieval with Beam Search over Proposition Paths (2025.emnlp-main)
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| Challenge: | Retrieval Augmented Generation (RAG) is a non-parametric approach for large language models. |
| Approach: | They propose a framework that shifts from triples to context-rich propositions and introduces an efficient, LLM-free online beam search over proposition paths to discover multi-step reasoning chains. |
| Outcome: | The proposed framework achieves state-of-the-art zero-shot Recall@5 and F1 scores on 2Wiki, HotpotQA, and MuSiQue. |