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20242026
most citedEfficient Heterogeneous Large Language Model Decoding with Model-Attention Disaggregation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression

DeepSeek-AI, :, Anyi Xu +585

The widespread adoption of long-horizon agents has made model workloads increasingly input-heavy. Although prior work has substantially reduced the cost of long-context computation…

cs.CL2026

DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence

DeepSeek-AI, Anyi Xu, Bangcai Lin +315

We present a preview version of DeepSeek-V4 series, including two strong Mixture-of-Experts (MoE) language models -- DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSe…

cs.HC2025

AttenTrack: Mobile User Attention Awareness Based on Context and External Distractions

Yutong Lin, Suyuan Liu, Kaiwen Guo +3

In the mobile internet era, managing limited attention amid information overload is crucial for enhancing collaboration and information delivery. However, current attention-aware s…

cs.CV2025

MAGI-1: Autoregressive Video Generation at Scale

Sand. ai, Hansi Teng, Hongyu Jia +36

We present MAGI-1, a world model that generates videos by autoregressively predicting a sequence of video chunks, defined as fixed-length segments of consecutive frames. Trained to…

cs.LG2024★ 1 cited

Efficient Heterogeneous Large Language Model Decoding with Model-Attention Disaggregation

Shaoyuan Chen, Wencong Xiao, Yutong Lin +5

Transformer-based large language models (LLMs) exhibit impressive performance in generative tasks but also introduce significant challenges in real-world serving due to inefficient…