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Boyong Wu, Chao Yan, Chen Hu +106 authors
Step-Audio~2, an end-to-end multi-modal large language model, integrates latent audio encoding and reinforcement learning to achieve state-of-the-art performance in ASR, audio understanding, and speech conversation, incorporating discrete audio token generation and retrieval-augmented generation.
Sangmin Bae, Yujin Kim, Reza Bayat +8 authors
Mixture-of-Recursions (MoR) combines parameter sharing and adaptive computation in a Recursive Transformer to improve efficiency, reduce memory usage, and enhance performance across different model scales.
Wei Shen, Jiangbo Pei, Yi Peng +7 authors
Skywork-R1V3, an open-source vision-language model, enhances visual reasoning through a post-training reinforcement learning framework, achieving state-of-the-art performance on multimodal reasoning tasks.
Yana Wei, Liang Zhao, Jianjian Sun +15 authors
A two-stage paradigm using Qwen2.5-VL-7B and multimodal reinforcement learning achieves state-of-the-art performance in visual reasoning benchmarks.
Nan Chen, Mengqi Huang, Yihao Meng +1 authors
LongAnimation framework achieves long-term color consistency in animation colorization by integrating a dynamic global-local memory and color consistency reward.
Jingwei Zuo, Maksim Velikanov, Ilyas Chahed +24 authors
Falcon-H1, a new series of large language models with a hybrid architecture combining Transformer-based attention and State Space Models, achieves state-of-the-art performance and efficiency across various tasks and sizes.
Alexi Gladstone, Ganesh Nanduru, Md Mofijul Islam +7 authors
Energy-Based Transformers (EBTs) improve model performance and scalability across modalities by learning to verify predictions through unsupervised learning and energy minimization.
Hongcheng Gao, Zihao Huang, Lin Xu +11 authors
The Turing Eye Test evaluates MLLMs' perceptual capabilities on synthetic images, revealing that vision tower generalization is a key gap compared to human perception.
Rujun Han, Yanfei Chen, Zoey CuiZhu +15 authors
TTD-DR, a diffusion-based framework, generates high-quality research reports by iteratively refining a preliminary draft with external information and self-evolutionary algorithms, outperforming existing deep research agents.
Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3300 authors
Gemini 2.X model family, including Gemini 2.5 Pro and Flash, offers superior coding, reasoning, and multimodal understanding capabilities across a range of computational efficiencies.
Yifan Wang, Jianjun Zhou, Haoyi Zhu +7 authors
A permutation-equivariant neural network, $\pi^3$, reconstructs visual geometry without a fixed reference view, achieving state-of-the-art performance in camera pose estimation, depth estimation, and point map reconstruction.
Run-Ze Fan, Zengzhi Wang, Pengfei Liu
TextbookReasoning and MegaScience datasets, along with a comprehensive evaluation system, enhance scientific reasoning in AI by providing high-quality, verifiable data and outperforming existing models.
Longwen Zhang, Qixuan Zhang, Haoran Jiang +4 authors
BANG is a generative approach using latent diffusion models and temporal attention to enable intuitive, part-level decomposition of 3D objects with precise control and multimodal interaction.
Zichen Wen, Jiashu Qu, Dongrui Liu +11 authors
DIJA is a framework that exploits safety weaknesses in diffusion-based large language models by constructing adversarial prompts, demonstrating significant vulnerabilities in their alignment mechanisms.
Anlin Zheng, Xin Wen, Xuanyang Zhang +5 authors
A novel image tokenizer built on pre-trained vision foundation models improves image reconstruction, generation quality, and token efficiency, enhancing autoregressive generation and class-conditional synthesis.
Guo-Hua Wang, Shanshan Zhao, Xinjie Zhang +9 authors
Ovis-U1, a 3-billion-parameter unified model, integrates multimodal understanding, text-to-image generation, and image editing using a diffusion-based visual decoder and bidirectional token refiner, achieving state-of-the-art performance across various benchmarks.
LG AI Research, Kyunghoon Bae, Eunbi Choi +38 authors
EXAONE 4.0 integrates non-reasoning and reasoning modes, supports agentic tool use, and offers multilingual capabilities, demonstrating superior performance in its class.
Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao +9 authors
Skywork-Reward-V2, a suite of reward models trained on a large-scale, high-quality preference dataset, achieves state-of-the-art performance across various benchmarks by leveraging human-AI synergistic curation.
Maksim Kuprashevich, Grigorii Alekseenko, Irina Tolstykh +4 authors
An automated pipeline mines high-fidelity image editing triplets using generative models and a task-tuned validator, enabling large-scale training without human labeling.
Yunhan Yang, Yufan Zhou, Yuan-Chen Guo +7 authors
OmniPart generates part-aware 3D objects with high semantic decoupling and structural cohesion using an autoregressive structure planning module and a spatially-conditioned rectified flow model.
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