Euclid-Omni unifies deduction and algebra through Euclidea, solving 595/601 Geometry3K problems and 16 IMO-AG-30 problems.

Zhaoyu Li, Hangrui Bi, Youyuan Zhang et al.

CHIEF is a creator-driven video loop that extends student-made films from 1 to 10 minutes.

Denis Savytski, Aiden Lei, Heding Liu et al.

Quantifies text-conditioned impact on grayscale-to-color models (U-Net, Stable Diffusion 1.5); PSNR +5.6%-5.8%, LPIPS -7.6%-11.3%.

Colten Reissmann, Hugo Garrido-Lestache Belinchon

Introduces CF-GRPO framework to enhance video reasoning performance with Consensus Frame Reward, significantly improving multiple benchmarks.

Chengwen Liu, Zhe Huang, Jisheng Dang et al.

UniAR introduces a unified autoregressive framework with a single discrete visual tokenizer, achieving state-of-the-art results in image generation and understanding.

Wujian Peng, Lingchen Meng, Yuxuan Cai et al.

VERITAS framework uses inference-time verification with visual models to improve robot policies by 10% success rate without additional training.

Mingtong Zhang, Dhruv Shah

EventDrive integrates event cameras with vision-language models, significantly improving perception, understanding, prediction, and planning in autonomous driving.

Dongyue Lu, Rong Li, Ao Liang et al.

Proposes LoopWM, a parameter-shared transformer with iterative latent refinement, achieving 100× parameter efficiency and stable long-horizon environment prediction.

Hongyuan Adam Lu, Z. L. Victor Wei, Qun Zhang et al.

RubricsTree constructs a hierarchical Boolean rubric system guided by expert-curated clinical criteria, enabling scalable, expert-aligned evaluation with over 100 atomic metrics, surpassing industry baselines.

Weizhi Zhang, Zechen Li, Hamid Palangi et al.

Proposed DRFLOW benchmark with 7 metrics, evaluating personalized workflow prediction across 100 tasks and 1246 steps, using multi-source evidence integration.

Md Tawkat Islam Khondaker, Raymond Li, Muhammad Abdul-Mageed et al.

Constructed a multi-source log dataset with 870 sessions, 2.3 million events, labeled with ATT&CK techniques, fine-tuned three small language models (Qwen, Llama, Phi) using LoRA, achieving up to 97% accuracy in chunk classification.

Abir Ashab Niloy, Ahmed Ryan, Imamul Hossain Rafi et al.

Introduces Kolmogorov PDE-based diffusion policies with dimension-independent convergence, improving long-horizon control in robotics and manufacturing.

Lekan Molu

Proposes quality-aware self-distillation with correctness gating and confidence scaling, boosting GUI coordinate accuracy by 2.16%.

Jingyuan Huang, Zuming Huang, Yucheng Shi et al.

Qwen-RobotManip introduces a unified alignment framework enabling large-scale multi-robot pretraining, achieving zero-shot instruction following and cross-embodiment transfer, surpassing SOTA.

Haoqi Yuan, Zhixuan Liang, Anzhe Chen et al.

Proposes a lightweight neuromorphic trigger based on fully connected LIF SNN achieving 0.97 F1 on ASD and 42.6× FLOPs reduction in SED.

Benjamin Hatton, Oliver Rhodes, Luca Peres

ActWorld adds action-aware memory to a 100K-video world model, enabling both navigation and mid-rollout object interaction.

Zhexiao Xiong, Yizhi Song, Hao Kang et al.

This study introduces RecLoop, a closed-loop simulation framework, comparing generative and traditional recommenders; findings show generative models better preserve diversity but still face cocoon effects.

Jiyuan Yang, Gengxin Sun, Mengqi Zhang et al.

FllumaOne introduces a multimodal CAD dataset with executable Python programs validated via OpenCASCADE, enabling high-precision geometric and feature-based learning.

Jizong Zhan

OPD-Evolver uses slow-fast on-policy distillation to learn memory selection, use, writing, and maintenance; its 9B model challenges 397B-scale systems.

Guibin Zhang, Xun Xu, Yanwei Yue et al.

SEAGym creates a dynamic evaluation environment for self-evolving LLM agents, comparing ACE, TF-GRPO, and AHE across multiple metrics on Terminal-Bench 2.0 and HLE.

Congjie Zheng, Chuanyi Xue, Bin Liang et al.