GraphDETR formulates subgraph detection as set prediction, achieving 91.2 AP on molecular datasets with graphs up to 1000 nodes and 50-node substructures.

Dexiong Chen, Till Hendrik Schulz, Karsten Borgwardt

GMBFormer integrates NDVI-guided global memory with Transformer for urban green-space extraction, achieving a mean IoU of 89.25%.

Hao Lei, Xi Cheng, Chenlu Shu et al.

Proposes PhaseLock, a training-free framework that extracts motion priors from 2-step inference, improving physical consistency by 6.2 points on average.

Woojung Han, Seil Kang, Youngjun Jun et al.

Introducing Bentkus-type asymptotic e-values that eliminate the missing factor, improving inference sharpness in multiple testing and post-hoc analysis.

Diego Martinez-Taboada, Ben Chugg, Aaditya Ramdas

Proposes an algebraic identity and low-rank SVD approximation to compute mean curvature efficiently on high-dimensional data manifolds, reducing complexity from O(m^4) to near O(k^2 m).

Alexandre L. M. Levada

VOLT leverages vision-language models for trajectory segmentation, enabling robots to execute tasks up to 2.57× faster while maintaining success rates.

Robert Ramirez Sanchez, Daniel J. Evans, Dylan P. Losey et al.

DAST framework achieves cross-interface anomaly detection in O-RAN with an F1 score of 0.910.

Francesco Spinelli, Esteban Municio, Pau Baguer et al.

Introduced a benchmark for data snapshot detection, evaluated open-source models, revealing significant gaps in real-world institutional document understanding.

AJ Carl P. Dy, Aivin V. Solatorio

Proposes Shallow-RHS, an asymmetric graph architecture for cold-start content recommendation, mapping intrinsic features into a collaborative filtering space for immediate deployment.

Anh Truong, John Trenkle, Yuanbo Chen et al.

CLEAR integrates Drive-JEPA and single-step latent drift, achieving 93.7 PDMS at 99FPS for efficient multi-modal autonomous driving path prediction.

Yining Xing, Zehong Ke, Zhiyuan Liu et al.

EvoSQL employs memory-augmented co-evolution with execution signals and LLM critique, boosting complex Text-to-SQL accuracy by up to 9.19%.

Jiawei Zhou, Jianwei Wang, Chenyu Zhou et al.

Proposes Hub-Aware hybrid search combining pre-processing and likelihood-pheromone guidance to enhance cosmic web filament detection efficiency.

Simone Vilardi, Reynier Peletier, Felipe Contreras et al.

MotionDisco employs LLM-guided evolutionary search combined with sequential kinodynamic optimization to autonomously discover long-horizon humanoid loco-manipulation skills.

Ilyass Taouil, Michal Ciebelski, Shafeef Omar et al.

Proposes Style-CCL with multi-stage curriculum learning and SC-DiT for content-preserving style transfer, achieving state-of-the-art in style similarity, content consistency, and aesthetics.

Shiwen Zhang, Haoyuan Wang, Xianghao Zang et al.

IR3DE uses ridge regression for fast, low-cost model routing, achieving 98.4% performance in multi-domain LLM selection.

Eros Fanì, Oğuzhan Ersoy

HUSH-Bench shows that memory availability is not authorization: UIS reaches 83.0 despite retrieval reducing exact-target exposure to 23.0–30.3%.

Lingxiang Xu, Jiaoyun Yang, Min Hu et al.

L-SDPPO integrates spiking neural networks and diffusion policies, achieving high success and 30% energy savings in microgravity space robot tasks.

Liwen Zhang, Dong Zhou, Guanghui Sun et al.

Proposes iCEM+TL framework integrating transfer learning to boost low-level robotic motion planning success rate by 23%, enabling zero-shot transfer for complex tasks.

Yuanzhi He, Victor Romero-Cano, José J. Patiño et al.

RealDexUMI enables dexterous robot learning via a wearable interface, achieving an 88.75% success rate.

Chaoyi Xu, Yixuan Jiang, Jiahui Huan et al.

Introduces RedditPersona framework using five community partition strategies to train parameter-efficient adapters, enhancing community behavior recognition.

Amirhossein Ghaffari, Ali Goodarzi, Huong Nguyen et al.