Warren Johnson

Academic · 약 1분

Compression Method Matters: Benchmark-Dependent Output Dynamics in LLM Prompt Compression

arXiv:2603.23527v1 Announce Type: new Abstract: Prompt compression is often evaluated by input-token reduction, but its real deployment impact depends on how compression changes output length …

Warren Johnson

조회수 103회 03.26

Academic · 약 1분

The Compression Paradox in LLM Inference: Provider-Dependent Energy Effects of Prompt Compression

arXiv:2603.23528v1 Announce Type: new Abstract: The rapid proliferation of Large Language Models has created an environmental paradox: the very technology that could help solve climate …

Warren Johnson

조회수 103회 03.26

Academic · 약 1분

The Perplexity Paradox: Why Code Compresses Better Than Math in LLM Prompts

arXiv:2602.15843v1 Announce Type: cross Abstract: In "Compress or Route?" (Johnson, 2026), we found that code generation tolerates aggressive prompt compression (r >= 0.6) while chain-of-thought …

Warren Johnson

조회수 79회 02.23

Warren Johnson의 전문분석자료

Compression Method Matters: Benchmark-Dependent Output Dynamics in LLM Prompt Compression

The Compression Paradox in LLM Inference: Provider-Dependent Energy Effects of Prompt Compression

The Perplexity Paradox: Why Code Compresses Better Than Math in LLM Prompts

JCG, PC