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cs.CL2024
Prompt Compression for Large Language Models: A Survey
Zongqian Li, Yinhong Liu, Yixuan Su +1
Leveraging large language models (LLMs) for complex natural language tasks typically requires long-form prompts to convey detailed requirements and information, which results in in…
cs.CL2024
500xCompressor: Generalized Prompt Compression for Large Language Models
Zongqian Li, Yixuan Su, Nigel Collier
Prompt compression is crucial for enhancing inference speed, reducing costs, and improving user experience. However, current methods face challenges such as low compression ratios…