Policy-Guided Hybrid Simulation (PGHS) achieves 8.80% group simulation error on Meituan, improving over baselines by 45.8% and 40.9%.

Ziyang Chen, Renbing Chen, Daowei Li et al.

Proposed dual pose-graph semantic localization reduces ATE by 56% to 74% on TII-RATM dataset.

David Perez-Saura, Miguel Fernandez-Cortizas, Alvaro J. Gaona et al.

LLMs generate excessive content in translations; detection strategies improve translation quality.

Lisa Vasileva, Karin Sim

Simulating mouse cortical neurogenesis generates a minimal circuit of 85 neurons, achieving over 90% accuracy on MNIST after one training epoch.

Duan Zhou

Amortized Optimal Transport using sliced potentials enhances OT plan prediction efficiency across multiple measure pairs.

Minh-Phuc Truong, Khai Nguyen

NEAT-NC enhances NEAT with navigation cells for dynamic environment path planning.

Hibatallah Meliani, Khadija Slimani, Samira Khoulji

HippoCamp benchmarks multimodal file management agents, revealing limitations in user environments with top accuracy only 48.3%.

Zhe Yang, Shulin Tian, Kairui Hu et al.

Proposed a Markovian framework for auditing agentic AI reliability and oversight cost, improving state-action blind mass by 12.53%.

Biplab Pal, Santanu Bhattacharya

Latent-WAM achieves efficient end-to-end autonomous driving with spatially-aware and dynamics-informed latent world representations, scoring 89.3 on NAVSIM v2.

Linbo Wang, Yupeng Zheng, Qiang Chen et al.

Study finds RAG system improvements in retrieval do not guarantee better QA performance in AI policy analysis.

Saahil Mathur, Ryan David Rittner, Vedant Ajit Thakur et al.

MARCH framework significantly reduces LLM hallucination using multi-agent reinforced self-check, enhancing factual consistency in an 8B parameter model.

Zhuo Li, Yupeng Zhang, Pengyu Cheng et al.

EndoVGGT enhances surgical 3D reconstruction with DeGAT, improving PSNR by 24.6% and SSIM by 9.1%.

Falong Fan, Yi Xie, Arnis Lektauers et al.

Chameleon enhances robotic manipulation with geometry-grounded multimodal memory, improving decision reliability in long-horizon tasks.

Xinying Guo, Chenxi Jiang, Hyun Bin Kim et al.

VFIG uses vision-language models for complex figure-to-SVG conversion, achieving a VLM-Judge score of 0.829.

Qijia He, Xunmei Liu, Hammaad Memon et al.

Self-distillation can degrade LLMs' reasoning in math by suppressing uncertainty expression.

Jeonghye Kim, Xufang Luo, Minbeom Kim et al.

MedObvious exposes the Medical Moravec's Paradox in VLMs via a 1,880-task benchmark for clinical triage.

Ufaq Khan, Umair Nawaz, L D M S S Teja et al.

UniGRPO optimizes text and image generation policies using GRPO, enhancing reasoning-driven visual generation quality.

Jie Liu, Zilyu Ye, Linxiao Yuan et al.

DA-Flow combines diffusion and convolutional features to enhance optical flow estimation in degraded videos.

Jaewon Min, Jaeeun Lee, Yeji Choi et al.

WildWorld dataset offers over 450 actions and explicit state annotations for generative ARPG dynamic world modeling.

Zhen Li, Zian Meng, Shuwei Shi et al.

VISOR method enhances LVLM efficiency by sparsely selecting vision-language interactions, reducing inference cost.

Adrian Bulat, Alberto Baldrati, Ioannis Maniadis Metaxas et al.