Proposes the DICOLA framework, using recursive decomposition to improve causal structure learning with latent variables, significantly boosting efficiency.

Zheng Li, Feng Xie, Shenglan Nie et al.

C2LT-3D introduces interface-centric generative states to improve assembly robustness in open-world 3D structures by separating geometry, ownership, and seam relations.

Xiang Chen, Alexander Binder

Proposes DPUA framework combining disagreement perception and uncertainty calibration, improving reliability in subjective analysis.

Junyu Lu, Deyi Ji, Xuanyi Liu et al.

Proposed PaMoSplat integrates part-aware modeling and motion priors for dynamic Gaussian splatting, achieving superior rendering and tracking accuracy.

Yinan Deng, Jianyu Dou, Jiahui Wang et al.

Standardized Loss Aggregation (SLA) detects noisy labels by aggregating standardized fold validation losses, outperforming hard-count baselines.

Inhyuk Park, Doohyun Park

Introduces Structured Spectral Propagator (SSP) for long-horizon PDE forecasting, reducing errors by up to 48.9%.

Xiaoxiao Lu, Ye Yuan, Jiahao Shi

SkillRAE's two-stage skill graph and compact context improve task performance by 11.7%.

Xiangcheng Meng, Shu Wang, Yixiang Fang

RADAR uses conditional graph diffusion to generate low-redundancy communication topologies, improving accuracy and efficiency.

Zhen Zhang, Wanjing Zhou, Juncheng Li et al.

Proposes Exploration-Driven Optimization (EDO) to enhance diversity and reasoning in LLMs by reward biasing integrated into iterative RL methods.

Changhao Li, Yuchen Zhuang, Chenxiao Gao et al.

DriveFuture explicitly conditions current planning on predicted future latent states, achieving 55.5 EPDMS on NAVSIM-v2 navhard, surpassing previous SOTA.

Yufeng Hong, Xiaotian Zhou, Yingyan Li et al.

Scratchpad Patching method achieves near-baseline quality at 16-byte patches with 16x compute efficiency.

Lin Zheng, Vasilisa Bashlovkina, Timothy Dozat et al.

Introduces Mixture of Layers (MoL) with hybrid attention, achieving PPL 29.99 on WikiText-103.

Ivan Ternovtsii, Yurii Bilak

EpiGraph constructs a large-scale epilepsy knowledge graph, boosting LLM clinical reasoning by 30-41% across five tasks.

Yuyang Dai, Zheng Chen, Jathurshan Pradeepkumar et al.

LoopUS enhances LLM reasoning by converting them into looped models, achieving a 17.4% perplexity reduction on WikiText.

Taekhyun Park, Yongjae Lee, Dohee Kim et al.

Proposed ZoomSIB-UCB algorithm achieves optimal regret O(T^{2/3}) for single-index bandits.

Devdan Dey, Sujoy Bhore, Avishek Ghosh

Introduces Conditional Distribution Matching (CDM) with MLGD-F algorithm, enabling inference-only distributional control in generative models, validated on synthetic, MNIST, and image editing tasks.

Ori Meidler, Shaul Tolkovsky, Or Zuk

Re-Prefill introduces attention-guided second prefill to improve GUI element localization, boosting accuracy up to 4.3%.

Jiaping Lin, Fei Shen, Junzhe Li et al.

dFlowGRPO optimizes discrete flow models using reinforcement learning, enhancing image generation and multimodal understanding.

Zhengyan Wan, Yidong Ouyang, Panwen Hu et al.

TileQ achieves efficient low-rank quantization with 2D tiling, reducing memory by 10x and inference latency to 5%.

Hongyaoxing Gu, Xinzhe Chen, Lijuan Hu et al.

Introduces Posterior Distillation Index (PDI) via online trajectory verification within SPARK, significantly improving transferable skills grounded in environment interaction.

Yang Zhou, Zihan Dong, Zhenting Wang et al.