This work reframing proposal generation as a time-sliced scientific forecasting problem, given a research question and inspiring papers available before a cutoff time, and operationalizes this objective with the Future Alignment Score (FAS), computed via retrieval and LLM-based semantic scoring against a held-out futur...
Heng Wang, Pengcheng Jiang, Jiashuo Sun et al.· arXiv.org· 5 citations
This work proposes Select-ANd-Extract (SANE), a simple yet effective plugin for RAG that performs blueprint-guided query-time evidence extraction, which allows the generator LM to use only compact and structured key information so that it can perform better reasoning.
This tutorial presents a unified vision in which structuring serves as the enabling foundation for three pillars of next-generation LLM systems, highlighting how the cooperative interplay between classical KDD techniques and modern LLMs-where KDD defines structural schemas and quality constraints while LLMs execute fle...
Peng-Cheng Jiang, Jiashuo Sun, Wonbin Kweon et al.· Proceedings of the 32nd ACM...· 0 citations
This tutorial presents a unified vision in which structuring serves as the enabling foundation for three pillars of next-generation LLM systems, highlighting how the cooperative interplay between classical KDD techniques and modern LLMs-where KDD defines structural schemas and quality constraints while LLMs execute fle...
Pengcheng Jiang, Jiashuo Sun, Wonbin Kweon et al.· Proceedings of the 32nd ACM...· 0 citations
This work proposes EnSI-RAG (Entity-Structure-Indexed Retrieval-Augmented Generation), a framework that constructs a query-independent, entity-centered index that separates evidence localization from answer synthesis while preserving traceable source evidence.
Xuan-Yu Meng, Jiashuo Sun, Jash Parekh et al.· 1 citation
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