arXiv AI
ReFold: Training-Free Reversible Inter-Turn Context Folding for Long-Horizon Agents
Read the original on arXiv AI →The Flow has not summarised this story yet — read it at arXiv AI.
Related stories
arXiv Computation and Language
Sep 1
When History Is Multimodal: Rethinking Context Management for Long-Horizon Agents
arXiv:2608.29897v1 Announce Type: new Abstract: Long-horizon agents need a context manager to compress growing interaction histories into a bounded working context, via passive strategies or active s...
Hugging Face Trending Papers
1d ago
CtrlCache: Accelerating Interactive Video World Models with Control-Aware Caching
Interactive video world models need to generate each video chunk efficiently while responding faithfully to user controls. Many systems use chunk-wise autoregressive generation with few-step denoising...
arXiv AI
Sep 30
KV-Kaizen: Learning Context-Adaptive Cache Compression Choices
arXiv:2609.37988v1 Announce Type: new Abstract: As the context size of text processed with an LLM grows, the size of KV caches can outstrip the memory allocated for the original model weights. This i...
arXiv Computer Vision
1d ago
CtrlCache: Accelerating Interactive Video World Models with Control-Aware Caching
arXiv:2610.08777v1 Announce Type: new Abstract: Interactive video world models need to generate each video chunk efficiently while responding faithfully to user controls. Many systems use chunk-wise...
arXiv AI
Oct 1
ResidualKV: Residual-Based KV Cache Compression for Efficient Long-Context Inference
arXiv:2602.08005v2 Announce Type: replace-cross Abstract: Efficient long-context inference faces two coupled bottlenecks: KV-cache memory grows linearly with context length, while attention computati...
arXiv Computer Vision
Sep 30
SoL-Refiner: Speed-of-Light One-Step Refinement for High-Resolution Video
arXiv:2609.37969v1 Announce Type: new Abstract: High-resolution video generation is expensive, as its cost grows rapidly with the number of spatiotemporal tokens. A practical alternative first genera...