SALM framework improves generalization in cybersecurity tasks using multi-modal contrastive learning, especially for text and payload data.

Jianan Huang, Rodolfo V. Valentim, Luca Vassio et al.

Semantic Token Clustering (STC) method achieves efficient uncertainty quantification in large language models, significantly reducing computational overhead.

Qi Cao, Andrew Gambardella, Takeshi Kojima et al.

Study of SFT-DPO interaction in small models reveals full fine-tuning outperforms LoRA.

Yuming Feng, Christy Yang

VEGA-3D leverages implicit 3D priors in video generation models to enhance scene understanding.

Xianjin Wu, Dingkang Liang, Tianrui Feng et al.

Matryoshka Gaussian Splatting (MGS) enables continuous level of detail control without sacrificing full-capacity rendering quality.

Zhilin Guo, Boqiao Zhang, Hakan Aktas et al.

Vision pathways dominate action generation in VLA models; language sensitivity is task-dependent.

Bryce Grant, Xijia Zhao, Peng Wang

MonoArt uses progressive structural reasoning for monocular 3D reconstruction, achieving improved accuracy and speed on the PartNet-Mobility dataset.

Haitian Li, Haozhe Xie, Junxiang Xu et al.

NavTrust benchmarks embodied navigation robustness by systematically introducing RGB, depth, and instruction corruptions, revealing significant robustness gaps in current models.

Huaide Jiang, Yash Chaudhary, Yuping Wang et al.

MoTok method reduces trajectory error from 0.72 cm to 0.08 cm and FID from 0.083 to 0.029 on HumanML3D.

Chenyang Gu, Mingyuan Zhang, Haozhe Xie et al.

SAMA achieves instruction-guided video editing through semantic anchoring and motion alignment, significantly enhancing editing precision and motion consistency.

Xinyao Zhang, Wenkai Dong, Yuxin Song et al.

EffectErase uses reciprocal learning for high-quality video object removal and insertion, leveraging the VOR dataset.

Yang Fu, Yike Zheng, Ziyun Dai et al.

F2LLM-v2 offers efficient multilingual embeddings using a two-stage training and matryoshka learning, supporting over 200 languages.

Ziyin Zhang, Zihan Liao, Hang Yu et al.

Spectrally-guided per-instance diffusion noise schedules enhance low-step generative quality.

Carlos Esteves, Ameesh Makadia

Proposed a new algorithm for online learning with ranking feedback, addressing the absence of traditional numeric feedback.

Mingyang Liu, Yongshan Chen, Zhiyuan Fan et al.

Nemotron-Cascade 2 achieves top-tier reasoning with Cascade RL and multi-domain distillation in a 30B MoE model.

Zhuolin Yang, Zihan Liu, Yang Chen et al.

DriveTok leverages 3D deformable cross-attention for efficient multi-view reconstruction and understanding, excelling on the nuScenes dataset.

Dong Zhuo, Wenzhao Zheng, Sicheng Zuo et al.

DreamPartGen achieves semantically grounded part-level 3D generation via collaborative latent denoising, improving geometric fidelity by 53%.

Tianjiao Yu, Xinzhuo Li, Muntasir Wahed et al.

State Space Models (SSM) outperform Vision Transformers (ViT) as vision encoders in VLMs, especially in VQA and localization tasks.

Shang-Jui Ray Kuo, Paola Cascante-Bonilla

A cost-aware evasion framework reveals robustness gaps in phishing detection; median evasion cost is 2, with over 80% attacks on three low-cost features.

Julian Allagan, Mohamed Elbakary, Zohreh Safari et al.

OmniVTA integrates predictive contact modeling with high-frequency tactile feedback for breakthroughs in contact-rich manipulation.

Yuhang Zheng, Songen Gu, Weize Li et al.