Co-occurring keywords · papers mentioning both
Papers
Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs
ACL 2026
Beyond the Context Window: Scaling Agentic RL via End-to-end Optimized Context Compression
ACL 2026
Bridging the Memorization-Utilization Gap: Near-Lossless Context Compression via Reinforcement Learning
ACL 2026
Frozen LLMs are Native Decoders for High-Norm Semantic Vectors
ACL 2026
GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment
ACL 2026
Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation
AAAI 2026
Read As Human: Compressing Context via Parallelizable Close Reading and Skimming
ACL 2026
SADA: Bridging In-Context Learning and Fine-Tuning via State-Aligned Distillation Adapters
ACL 2026
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
ACL 2026
Yume1.5: A Text-Controlled Interactive World Generation Model
CVPR 2026
AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding
ACL 2025
A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression
ACL 2025
AttnComp: Attention-Guided Adaptive Context Compression for Retrieval-Augmented Generation
EMNLP 2025
DAST: Context-Aware Compression in LLMs via Dynamic Allocation of Soft Tokens
ACL 2025
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning
EMNLP 2025
ECoRAG: Evidentiality-guided Compression for Long Context RAG
ACL 2025
Enhancing RAG Efficiency with Adaptive Context Compression
EMNLP 2025
EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation
ACL 2025
LLM×MapReduce: Simplified Long-Sequence Processing using Large Language Models
ACL 2025
OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Question Answering
EMNLP 2025
PIC: Unlocking Long-Form Text Generation Capabilities of Large Language Models via Position ID Compression
ACL 2025
Position IDs Matter: An Enhanced Position Layout for Efficient Context Compression in Large Language Models
EMNLP 2025
Pretraining Context Compressor for Large Language Models with Embedding-Based Memory
ACL 2025
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory
EMNLP 2025
TableKV: KV Cache Compression for In-Context Table Processing
ACL 2025