5 citations · 6 across the 12 of their papers we have counts for
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cs.IR2024★ 1 cited
IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval through Semantic Comprehension in Retrieval-Augmented Generation Scenarios
Hai Lin, Shaoxiong Zhan, Junyou Su +2
In Retrieval-Augmented Generation (RAG) tasks using Large Language Models (LLMs), the quality of retrieved information is critical to the final output. This paper introduces the IR…
cs.CL2024
Perception Compressor: A Training-Free Prompt Compression Framework in Long Context Scenarios
Jiwei Tang, Jin Xu, Tingwei Lu +4
Large language models (LLMs) demonstrate exceptional capabilities in various scenarios. However, they suffer from much redundant information and are sensitive to the position of ke…
cs.CL2024★ 5 cited
QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval
Hongming Tan, Shaoxiong Zhan, Hai Lin +2
In dense retrieval, embedding long texts into dense vectors can result in information loss, leading to inaccurate query-text matching. Additionally, low-quality texts with excessiv…