6 citations · 6 across the 4 of their papers we have counts for
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cs.CL2024★ 6 cited
SelfCP: Compressing Over-Limit Prompt via the Frozen Large Language Model Itself
Jun Gao, Ziqiang Cao, Wenjie Li
Long prompt leads to huge hardware costs when using transformer-based Large Language Models (LLMs). Unfortunately, many tasks, such as summarization, inevitably introduce long docu…
cs.CL2024
UniICL: An Efficient Unified Framework Unifying Compression, Selection, and Generation
Jun Gao, Qi Lv, Zili Wang +3
In-context learning (ICL) enhances the reasoning abilities of Large Language Models (LLMs) by prepending a few demonstrations. It motivates researchers to introduce more examples t…