2 papers
cs.IR2026
DEPT: Document Embedding Preservation Tuning for Unified Query Expansion and Retrieval
Jingyuan Wang, Richong Zhang, Zhijie Nie +2
Large language models (LLMs) can both expand underspecified queries and encode text as dense representations, suggesting a unified model for query expansion and retrieval. Existing…
cs.CL2025
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
Ziyang Miao, Qiyu Sun, Jingyuan Wang +4
Large language models (LLMs) have shown impressive performance on general-purpose tasks, yet adapting them to specific domains remains challenging due to the scarcity of high-quali…