AI RESEARCH
Lossless Prompt Compression via Dictionary-Encoding and In-Context Learning: Enabling Cost-Effective LLM Analysis of Repetitive Data
arXiv CS.AI
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ArXi:2604.13066v1 Announce Type: cross In-context learning has established itself as an important learning paradigm for Large Language Models (LLMs). In this paper, we nstrate that LLMs can learn encoding keys in-context and perform analysis directly on encoded representations.