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20242026
most citedFrom Matching to Generation: A Survey on Generative Information Retrieval

10 citations · 26 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

FinSight: Towards Real-World Financial Deep Research

Jiajie Jin, Yuyao Zhang, Yimeng Xu +3

Generating professional financial reports is a labor-intensive and intellectually demanding process that current AI systems struggle to fully automate. To address this challenge, w…

cs.CL2025★ 1 cited

Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation

Guanting Dong, Xiaoxi Li, Yuyao Zhang +1

Real-world live retrieval-augmented generation (RAG) systems face significant challenges when processing user queries that are often noisy, ambiguous, and contain multiple intents.…

cs.CL2025

Neuro-Symbolic Query Compiler

Yuyao Zhang, Zhicheng Dou, Xiaoxi Li +5

Precise recognition of search intent in Retrieval-Augmented Generation (RAG) systems remains a challenging goal, especially under resource constraints and for complex queries with…

cs.CL2025★ 1 cited

Hierarchical Document Refinement for Long-context Retrieval-augmented Generation

Jiajie Jin, Xiaoxi Li, Guanting Dong +6

Real-world RAG applications often encounter long-context input scenarios, where redundant information and noise results in higher inference costs and reduced performance. To addres…

cs.CL2024★ 2 cited

Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction

Chenlong Deng, Kelong Mao, Yuyao Zhang +1

Legal judgment prediction is essential for enhancing judicial efficiency. In this work, we identify that existing large language models (LLMs) underperform in this domain due to ch…