“The PreCompact hook automatically backs up your context before compression occurs.”

“NVIDIA AI Open-Sourced KVzap: A SOTA KV Cache Pruning Method that Delivers near-Lossless 2x-4x Compression.”

“NVIDIA AI Open-Sourced KVzap: A SOTA KV Cache Pruning Method that Delivers near-Lossless 2x-4x Compression.”

“As context lengths move into tens and hundreds of thousands of tokens, the key value cache in transformer decoders becomes a primary deployment bottleneck.”

“Unlike prior single-paradigm approaches, which achieve <75% accuracy on out-of-distribution datasets, our method maintains 86.8% average accuracy across seven diverse test sets...”

“Are you pruning your neural networks? "Delete parameters with small weights!" or "Gradients..."”

“We introduce CogCanvas, a training-free framework that extracts verbatim-grounded cognitive artifacts (decisions, facts, reminders) from conversation turns and organizes them into a temporal-aware graph for compression-resistant retrieval.”

“It doesn't just retrieve chunks; it compresses relevant information into "Memory Tokens" in the latent space.”

“It targets one concrete goal, make it easy to compare block level, layer level and weight level pruning methods under a consistent training and evaluation stack on both GPUs and […]”

“Evaluations on the Long Range Arena (LRA) benchmark demonstrate RMAAT's competitive accuracy and substantial improvements in computational and memory efficiency, indicating the potential of incorporating astrocyte-inspired dynamics into scalable sequence models.”

“"A 50-message thread uses 5x more processing power than five 10-message chats because Claude re-reads the entire history every single time."”

“Certain compression strategies not only preserve but can also improve robustness, particularly on networks with more complex architectures.”

“…a solid-state crystal H9@C20 formed by embedding hydrogen atoms into C20 fullerene cages and utilizing chemical precompression, which remains stable under ambient pressure and temperature conditions and exhibits metallic properties.”

“Splatwizard provides an easy-to-use framework to implement new 3DGS compression model and utilize state-of-the-art techniques proposed by previous work.”

“NL suggests a philosophy to design more expressive learning algorithms with more levels, resulting in higher-order in-context learning and potentially unlocking effective continual learning capabilities.”

“RGTN achieves state-of-the-art compression ratios and runs 4-600$\times$ faster than existing methods.”

“DLCM reallocates roughly one-third of inference compute into a higher-capacity reasoning backbone, achieving a +2.69% average improvement across 12 zero-shot benchmarks under matched inference FLOPs.”

“The model achieves 25.96 dB PSNR and 0.8375 SSIM on the test set, demonstrating its effectiveness in compressing low-resolution video while maintaining good perceptual quality.”

“The approach achieves a 20.15% reduction in Mean Spectral Information Divergence (MSID), up to 1.09% PSNR improvement, and a 1.62% log transformed MS-SSIM gain over strong learned baselines.”

“PackKV achieves, on average, 153.2% higher memory reduction rate for the K cache and 179.6% for the V cache, while maintaining accuracy.”

“The paper's core contribution is the implementation of a multi-stage IDS and its adaptation for resource-constrained CAV environments using hybrid model compression.”

“GVC offers a viable path toward a new effective, efficient, scalable, and practical video communication paradigm.”

“The approach substantially improves both the representational power and the RD performance of 2DGS while maintaining over 1000 FPS decoding. Compared with the baseline GSImage, we reduce BD-rate by 43.44% on Kodak and 29.91% on DIV2K.”

“The Transformer achieved the highest predictive accuracy with an R^2 of 0.9696.”

“LLMs appear to compress the diversity of American climate opinions, predicting less-concerned groups as more concerned and vice versa. This compression is intersectional: LLMs apply uniform gender assumptions that match reality for White and Hispanic Americans but misrepresent Black Americans, where actual gender patterns differ.”

“The Infini-attention model achieves up to 31% higher accuracy than the baseline at a 16,384-token context.”

“Trellis replaces the standard KV cache with a fixed-size memory and train a two-pass recurrent compression mechanism to store new keys and values into memory.”

“The baseline model can compress a 20-second video into a context at about 5k length, where random frames can be retrieved with perceptually preserved appearances.”

“Error detection capability strongly predicts overall robustness (rho=-0.817, p=0.007), indicating this is the critical bottleneck.”

“The paper proposes to use a standard reduced basis method (RBM) to construct this low-order rational function. Algorithmically, this procedure is an iterative greedy approach, where the greedy objective is evaluated through an error estimator that exploits the linearity of the frequency domain representation.”

“Sisco reduces noiseless forward-predicted model data to 24% of its original volume on average.”

“The classification head can be compressed by even huge factors of 16 with negligible performance degradation.”

“The extreme constraints nerd-sniped me and forced interesting trade-offs: trigram hashing (typo-tolerant, loses word order), 16-bit integer math, and some careful massaging of the training data meant I could keep the examples 'interesting'.”

“Is there anything ~100B and a bit under that performs well?”

“FANG outperforms FLAP and OBC by 1.5%--8.5% in average accuracy under 30% and 40% sparsity.”

“Tokenization is the process of breaking down text into smaller units.”

“I don’t mean cameras or phones like real videos recorded by iPhones androids are having this same effect on instagram not TikTok not twitter just internet”

“The model achieves logarithmic depth and linear total complexity, enabling efficient inference across large and variable user sets without retraining or architectural changes.”

“The paper proposes two novel frameworks that enable biased compression without client-side state or control variates.”

“LLMs should be viewed strictly as Text Processors.”

“CoDS significantly outperforms existing semantic communication and traditional digital communication schemes, achieving state-of-the-art perception performance while ensuring compatibility with practical digital V2X systems.”

“MEGA-PCC achieves superior rate-distortion performance and runtime efficiency compared to both traditional and learning-based baselines.”

“A minimalist text editor that lives entirely in your browser and stores everything in the URL hash.”

“The article's focus is on words of length $N = 3M$ with a three-letter alphabet.”

“The framework comprises three core components: (1) a long-video generation framework integrating unified context compression with linear attention; (2) a real-time streaming acceleration strategy powered by bidirectional attention distillation and an enhanced text embedding scheme; (3) a text-controlled method for generating world events.”

“SWE-Compressor reaches a 57.6% solved rate and significantly outperforms ReAct-based agents and static compression baselines, while maintaining stable and scalable long-horizon reasoning under a bounded context budget.”

“LongFly outperforms state-of-the-art UAV VLN baselines by 7.89% in success rate and 6.33% in success weighted by path length.”

“GQ-VAE improves compression and language modeling performance over a standard VQ-VAE tokenizer, and approaches the compression rate and language modeling performance of BPE.”

“Scaling compressors is substantially more effective than scaling predictors.”

“The approach reduces each embedding solve to a deterministic ground-state eigenvalue problem in the reduced space, and reduces the cost of the EH solution by orders of magnitude.”