Context Compression papers, 2023–2026
KV compression
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 365 papers are tagged with this topic.
Key findings
- Context Compression went from 39 papers in 2023 to 136 in 2026, roughly 3.5x in three years.
- NeurIPS publishes the most Context Compression work: 123 papers from 2023 to 2026, 34% of the four-venue total.
- The fastest-growing overlap is with Deep learning · large language models: papers tagged with both rose from 1 in 2023 to 13 in 2026.
- Among the 5 topics under Long Context and Memory, it ranks #4 by 2026 paper count; the fastest grower in the group, Retrieval Memory, is up 6.6x versus 3.5x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 8 | 13 | 5 | 13 | 39 |
| 2024 | 27 | 15 | 33 | 6 | 81 |
| 2025 | 38 | 32 | 20 | 19 | 109 |
| 2026 | 50 | 28 | 39 | 19 | 136 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026A Free Lunch in LLM Compression: Revisiting Retraining after Pruning
- ICML 2026A Unified Sparse Attention via Multi-Granularity Compression
- ICLR 2026An evolutionary perspective on modes of learning in Transformers
- CVPR 2026AstraNav-Memory Contexts Compression for Long Memory
- NeurIPS 2025AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees
- ICML 2025Does learning the right latent variables necessarily improve in-context learning?
- ICLR 2025Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
- CVPR 2025ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video Compression
- NeurIPS 2024StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses
- ICML 2024Agnostic Sample Compression Schemes for Regression
- ICLR 2024Compressed Context Memory for Online Language Model Interaction
- CVPR 2024Diversity-aware Channel Pruning for StyleGAN Compression
- NeurIPS 2023Do Not Marginalize Mechanisms, Rather Consolidate!
- ICML 2023Private Federated Learning with Autotuned Compression
- ICLR 2023$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
- CVPR 2023AutoAD: Movie Description in Context
- NeurIPS 2026A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression
- ICML 2026Context-Driven Incremental Compression for Multi-Turn Dialogue Generation
- ICLR 2026Autoencoding-Free Context Compression for LLMs via Contextual Semantic Anchors
- CVPR 2026Featurising Pixels from Dynamic 3D Scenes with Linear In-Context Learners
All Context Compression papers
20 papers, page 1 of 1
- ICML 2025CommVQ: Commutative Vector Quantization for KV Cache Compression
- ICML 2025Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data
- ICML 2025DLP: Dynamic Layerwise Pruning in Large Language Models
- ICML 2025Does learning the right latent variables necessarily improve in-context learning?
- ICML 2025Efficient LiDAR Reflectance Compression via Scanning Serialization
- ICML 2025Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
- ICML 2025EvoPress: Accurate Dynamic Model Compression via Evolutionary Search
- ICML 2025In-Context Deep Learning via Transformer Models
- ICML 2025In-Context Learning and Occam's Razor
- ICML 2025Iterative Vectors: In-Context Gradient Steering without Backpropagation
- ICML 2025Learning In-context $n$-grams with Transformers: Sub-$n$-grams Are Near-Stationary Points
- ICML 2025Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries
- ICML 2025NExtLong: Toward Effective Long-Context Training without Long Documents
- ICML 2025ParallelComp: Parallel Long-Context Compressor for Length Extrapolation
- ICML 2025Prompt-based Depth Pruning of Large Language Models
- ICML 2025Retraining-free Merging of Sparse MoE via Hierarchical Clustering
- ICML 2025RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression
- ICML 2025SkipGPT: Each Token is One of a Kind
- ICML 2025Training Dynamics of In-Context Learning in Linear Attention
- ICML 2025Weight matrices compression based on PDB model in deep neural networks
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FAQ
- How many Context Compression papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 365 in total: 39 in 2023, 81 in 2024, 109 in 2025, 136 in 2026.
- How many Context Compression papers are at NeurIPS 2026?
- NeurIPS 2026 has 50 Context Compression papers, versus 38 the year before.
- How many Context Compression papers are at ICLR 2026?
- ICLR 2026 has 28 Context Compression papers, versus 32 the year before.
- How many Context Compression papers are at ICML 2026?
- ICML 2026 has 39 Context Compression papers, versus 20 the year before.
- How many Context Compression papers are at CVPR 2026?
- CVPR 2026 has 19 Context Compression papers, versus 19 the year before.
- Which conference publishes the most Context Compression papers?
- NeurIPS, with 123 papers from 2023 to 2026.