prompt compression

A Novel Matching Paradigm: Unified Generative and Discriminative LLM with Prompt Compression for Relevance Learning ACL 2026 IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering ACL 2026 Revitalizing Black-Box Interpretability: Actionable Interpretability for LLMs via Proxy Models ACL 2026 500xCompressor: Generalized Prompt Compression for Large Language Models ACL 2025 A Simple yet Efficient Prompt Compression Method for Text Classification Data Annotation Using LLM COLING 2025 CAMPHOR: Collaborative Agents for Multi-input Planning and High-Order Reasoning On Device ACL 2025 ClusterAttn: KV Cache Compression under Intrinsic Attention Clustering ACL 2025 DAC: A Dynamic Attention-aware Approach for Task-Agnostic Prompt Compression ACL 2025 DisComp: A Two-Stage Prompt Optimization Framework Combining Task-Agnostic and Task-Aware Compression NAACL 2025 Leveraging Attention to Effectively Compress Prompts for Long-Context LLMs AAAI 2025 PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models IJCAI 2025 Perception Compressor: A Training-Free Prompt Compression Framework in Long Context Scenarios NAACL 2025 ProCut: LLM Prompt Compression via Attribution Estimation EMNLP 2025 Prompt Compression for Large Language Models: A Survey NAACL 2025 Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference AAAI 2025 PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics NAACL 2025 SCBench: A KV Cache-Centric Analysis of Long-Context Methods ICLR 2025 SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents ICLR 2025 TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning ACL 2025 Token-Budget-Aware LLM Reasoning ACL 2025 Understanding and Improving Information Preservation in Prompt Compression for LLMs EMNLP 2025 From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression EMNLP 2024 Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models NeurIPS 2024 KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches EMNLP 2024 Learning to Compress Prompt in Natural Language Formats NAACL 2024