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cs.CL2025
ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research
Junyong Lin, Lu Dai, Ruiqian Han +7
Scientific researchers need intensive information about datasets to effectively evaluate and develop theories and methodologies. The information needs regarding datasets are implic…
cs.CL2025
SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction
Lu Dai, Yijie Xu, Jinhui Ye +2
Large Language Models (LLMs) have demonstrated improved generation performance by incorporating externally retrieved knowledge, a process known as retrieval-augmented generation (R…
cs.CL2024
Improve Dense Passage Retrieval with Entailment Tuning
Lu Dai, Hao Liu, Hui Xiong
Retrieval module can be plugged into many downstream NLP tasks to improve their performance, such as open-domain question answering and retrieval-augmented generation. The key to a…