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20242026
most citedEfficient Diffusion Models: A Survey

2 citations · 2 across the 9 of their papers we have counts for

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7 papers · 1 filter

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.RO2026

EmbodiedMind: Adaptive Data Curation and Prefix-Tree Reinforcement Learning for Efficient Embodied Intelligence

Feifan Wang, Zongbing Zhang, Yu Zhang +8

Training embodied foundation models typically requires massive-scale datasets and extensive computational resources, yet often suffers from three critical limitations: (1) ineffici…

cs.CV2026

CA-OPD: Confidence-Aware On-Policy Distillation for Structured Visual Prediction

Menghao Li, Linjie Mu, Yin Wang +6

Autoregressive vision language models unify heterogeneous perception tasks but are highly susceptible to compounding errors. On-policy distillation (OPD) bridges the training-infer…

cs.LG2026

AgenticRS-EnsNAS: Ensemble-Decoupled Self-Evolving Architecture Search

Yun Chen, Moyu Zhang, Jinxin Hu +2

Neural Architecture Search (NAS) deployment in industrial production systems faces a fundamental validation bottleneck: verifying a single candidate architecture pi requires evalua…

cs.IR2026

OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis

Zhuofeng Li, Dongfu Jiang, Xueguang Ma +7

Training deep research agents requires long-horizon trajectories that interleave search, evidence aggregation, and multi-step reasoning. However, existing data collection pipelines…

cs.LG2026

DSDR: Dual-Scale Diversity Regularization for Exploration in LLM Reasoning

Zhongwei Wan, Yun Shen, Zhihao Dou +9

Reinforcement learning with verifiers (RLVR) is a central paradigm for improving large language model (LLM) reasoning, yet existing methods often suffer from limited exploration. P…

cs.RO2026

Vid2Sid: Videos Can Help Close the Sim2Real Gap

Kevin Qiu, Yu Zhang, Marek Cygan +1

Calibrating a robot simulator's physics parameters (friction, damping, material stiffness) to match real hardware is often done by hand or with black-box optimizers that reduce err…