Co-occurring keywords · papers mentioning both
Papers
Understanding and Improving Information Preservation in Prompt Compression for LLMs
EMNLP 2025
CompAct: Compressing Retrieved Documents Actively for Question Answering
EMNLP 2024
Compressed Context Memory for Online Language Model Interaction
ICLR 2024
Concise and Precise Context Compression for Tool-Using Language Models
ACL 2024
Dodo: Dynamic Contextual Compression for Decoder-only LMs
ACL 2024
In-context Autoencoder for Context Compression in a Large Language Model
ICLR 2024
In-Context Former: Lightning-fast Compressing Context for Large Language Model
EMNLP 2024
InfiniPot: Infinite Context Processing on Memory-Constrained LLMs
EMNLP 2024
LLoCO: Learning Long Contexts Offline
EMNLP 2024
LoCoCo: Dropping In Convolutions for Long Context Compression
ICML 2024
RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation
ICLR 2024
Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs
ACL 2024
SEGMENT+: Long Text Processing with Short-Context Language Models
EMNLP 2024
StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses
NeurIPS 2024
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
NeurIPS 2024
Adapting Language Models to Compress Contexts
EMNLP 2023
Compressing Context to Enhance Inference Efficiency of Large Language Models
EMNLP 2023
Context Compression for Auto-regressive Transformers with Sentinel Tokens
EMNLP 2023