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Jing Liang, Hongyao Tang, Yi Ma +9 authors
Training-inference mismatch in reinforcement learning for large language models leads to instability, which is addressed through a new policy optimization objective and framework that ensures consistent policy improvements between training and inference phases.
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Jintao Zhang, Kai Jiang, Jintao Chen +24 authors
Vidu S1 is a real-time interactive video generation model that supports voice-controlled digital character animation with infinite-length output and high frame rate on consumer hardware.
Haoyu Zhao, Xingyue Zhao, Siteng Huang +3 authors
A multi-modal 4D world model generates synchronized RGB, depth, and optical flow data from single RGB-D images and language instructions, enabling efficient robotic manipulation through unified diffusion processes and inverse dynamics policy learning.
AlayaWorld Team, Kaipeng Zhang, Chuanhao Li +14 authors
AlayaWorld is an open-source framework for creating interactive generative worlds that enables real-time user interaction and supports diverse actions within a modular architecture.
Chen Tang, Yizhou Wang, Jianyu Wu +26 authors
SciReasoner is a multimodal scientific foundation model that enables interpretable structural reasoning across proteins, molecules, and crystals by discretizing structural elements into a unified vocabulary for enhanced prediction and scientific inference.
Xiang Hu, Xinyu Wei, Hao Gu +10 authors
Hierarchical Landmark Sparse Attention enables efficient long-context language modeling by learning chunk selection end-to-end, achieving performance comparable to full attention while extrapolating beyond training context lengths.
Gemma Team, Sherif El Abd, Vaibhav Aggarwal +298 authors
Gemma 4 introduces efficient, multimodal language models with diverse architectures, enhanced reasoning capabilities, and improved performance across various tasks.
Haoyu Zhao, Xingyue Zhao, Hangyu Li +6 authors
Digital teleoperation replaces physical robot interaction with generative world models to create diverse training data for robotics, enabling efficient zero-shot Sim2Real transfer and improved real-world performance.
Siyuan Li, Jiabao Pan, Yumou Liu +9 authors
OmniOpt presents a unified framework for optimizer selection in large-scale model training by combining meta-pipeline transformations, norm-constrained linear minimization oracles, and a cross-domain benchmark to systematically analyze optimizer families and their trade-offs across different training objectives and model scales.
Niu Lian, Alan Chen, Zhehao Yu +8 authors
Uni-GUI dataset and UI-MOPD method enable cross-platform GUI agent training by addressing limited data and platform-specific capability degradation through multi-teacher on-policy distillation.
Sensen Gao, Zhaoqing Wang, Qihang Cao +3 authors
PixWorld presents a unified pixel-space diffusion approach for 3D reconstruction and generation that overcomes limitations of latent-space methods through direct image-level supervision and geometry-aware feature alignment.
Geuntaek Lim, Sungjune Park, Jaeyun Lee +5 authors
Video-Oasis diagnostics reveal that half of existing video benchmarks can be solved without visual input, exposing significant capability gaps in current video understanding models.
Shuailei Ma, Jiaqi Liao, Xinyang Wang +24 authors
LingBot-Video presents a DiT-based video pretraining framework with Mixture-of-Experts architecture, specialized data augmentation, and multi-dimensional reward system for embodied intelligence applications.
Lingao Xiao, Yalun Dai, Yangyu Huang +17 authors
ResearchStudio-Reel automates research dissemination by composing specialized skills around a shared paper extractor, generating consistent and editable artifacts including posters, videos, and blogs with hard pass/fail quality gates.
Qihao Zhao, Yangyu Huang, Yalun Dai +8 authors
ResearchStudio-Idea provides a skill suite for effective research ideation that combines literature search, novelty checking, and pattern-guided generation to produce traceable research proposals.
Ling Xu, Chuyu Han, Borui Li +6 authors
Embodied.cpp is a portable C++ runtime that enables efficient deployment of vision-language-action and world-action models across heterogeneous edge devices through modular execution layers and optimized inference.
Hongyu Qu, Jianzhe Gao, Xiaobin Hu +6 authors
LaMem-VLA introduces a latent-memory-native framework that integrates historical experience into vision-language-action reasoning through coordinated memory components operating in the same latent space.
Matteo Farina, Vishaal Udandarao, Thao Nguyen +33 authors
DataComp for VLMs (DCVLM) establishes a comprehensive benchmark for evaluating data curation strategies in vision-language models, demonstrating that data mixing rather than filtering significantly improves model performance at scale.
Geo Ahn, Inwoong Lee, Taeoh Kim +3 authors
RCORE addresses object-driven shortcuts in zero-shot compositional action recognition by using co-occurrence prior regularization and temporal order regularization to improve compositional generalization.
Xiaoyang Han, Jianhua Li, Kewang Deng +14 authors
A unified multimodal model formulates computer vision tasks as generation problems using natural language and visual prompts, achieving performance comparable to specialized systems across diverse vision tasks.
Xin Cheng, Xingkai Yu, Chenze Shao +30 authors
DSpark enhances LLM inference speed by combining parallel draft generation with adaptive verification that reduces waste and improves throughput in high-concurrency settings.
Matan Avitan, Yoav Goldberg, Yanai Elazar
Manifold constraint hypothesis enables improved concept erasure by projecting updates onto estimated representation manifolds, achieving state-of-the-art results in nonlinear concept removal.
Zelin Gao, Qiuyu Wang, Jiapeng Zhu +17 authors
An advanced world modeling system with extended interaction capabilities, real-time processing, diverse interactive elements, and multi-agent behavior control for collaborative virtual environments.
Zelin Fu, Bin Tan, Changjiang Sun +6 authors
Boundary modeling enables dense spatial perception by learning sub-pixel representations that enhance depth estimation and support embodied AI applications.
Lianghua Huang, Zhi-Fan Wu, Yupeng Shi +23 authors
Wan-Streamer v0.2 enhances audio-visual interaction by increasing visual resolution while maintaining low latency through optimized thinker-performer architecture with multi-GPU parallel processing.
Yifan Zhou, Qihao Yang, Yan Li +14 authors
A benchmark for scientific lineage reasoning and idea generation is introduced, organizing scientific works as genetic-like Idea Genome objects and evaluating both reasoning and generation capabilities.
Zican Hu, Xuyang Hu, Yiming Liu +10 authors
BRAID framework enables unified multi-modal reasoning by casting text-image interaction as a Markov decision process, allowing joint optimization through reinforcement learning with vision-language model guidance.
Donghyun Lee, Jitesh Chavan, Duy Nguyen +5 authors
OrbitQuant enables efficient post-training quantization for diffusion transformers by using a normalized rotated basis that eliminates the need for recalibration across different timesteps and modalities.
GigaWorld Team, Angyuan Ma, Boyuan Wang +24 authors
World models for robotic policy evaluation are systematically studied through a new benchmark, revealing that long-horizon rollout consistency and robot-specific controllability are more important than short-term visual realism for reliable policy assessment.
Cheng-De Fan, Chun-Wei Tuan Mu, Chen-Wei Chang +4 authors
LongE2V enables high-quality video recovery from sparse event streams by leveraging pre-trained video diffusion priors and addressing temporal stability and frame interpolation challenges.
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