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Papers
Daily updated cutting-edge AI research papers to help you keep up with the latest AI trends
3,211 papers
TRAINING REPORT OF TELECHAT3-MOE
Model Training
LLM
Xinzhang Liu, Chao Wang, Zhihao Yang, et al.
RuleTrek: Benchmarking Agentic Rule Reasoning in Complex Scenarios
Reasoning
Agent
Chenhao Yuan, Bohan Yu, Yinhao Xu, et al.
Recovering Reliable Supervision via Critique-Guided On-Policy Distillation
LLM
Model Training
Kaixiang Zhao, Tianrun Yu, Shangzhe Li, et al.
Doc 2 Harness: Benchmarking LLMs on Long-Horizon Harness Engineering of Coding Agents
Agent
LLM
Yuyao Ge, Shenghua Liu, Peizhong Gao, et al.
BEYOND DOMAIN-ROUTED SUPERVISION:CROSS-TEACHER GUARDING FOR MULTI-TEACHERON-POLICY DISTILLATION
Multi-Task Learning
Model Training
Shi-Yu Tian, Yong Liu, Ximan Liu, et al.
PLAYER-1: LEARNING TO PLAY FROM SYNTHETIC EXPERIENCE
Agent
Reinforcement Learning
Mingyu Ouyang, Yiran Wang, Siyuan Hu, et al.
Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation
World Models
Video Generation
Weijie Wang, Haomin Zhang, Ye Li, et al.
AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards
Code Generation
Multimodal
Xin Gao, Yifan Yang, Xin Li, et al.
GreenWAM: A World Foundation Model for Robotics
World Models
Robotics
Gennady Sidorov, Valerii Kornilov, Denis Grankin, et al.
Urbex: Agentic Spatial Grounding for City-Scale 3D Scenes
3D Machine Vision
Multimodal
Yu Wang, Rui Dai, Wei Chen, et al.
Agent-Reflex: Teaching Language Agents to Act Reflectively
LLM
Model Training
Guanting Dong, Xinyu Yang, Jiajie Jin, et al.
VideoJev: System One Model for Video Understanding and Interaction
Video Understanding
Visual Question Answering
Yuhan Zhu, Xiangyu Zeng, Qingyi Si, et al.
Jeva: System One Models from First Principles
Deep Learning
Transformer
Qi Li, Xinchao Wang
Multi-Stream Attention Residuals
Transformer
Deep Learning
Xiaohan Qin, Xiangdong Zhang, Tuo Dai, et al.
VIS-Ground: Video Interactive Storytelling with Contextual Grounding
Video Generation
Multimodal
Bingxuan Li, Yiwen Song, Xueqing Wu, et al.
Thinking Inertia: LLMs Keep Thinking When Told Not To
LLM
Reasoning
Dianqiao Lei, Kevin Qinghong Lin, Pan Lu, et al.
SCALING AGENTIC DATA FOR LONG-HORIZON TERMINAL INTELLIGENCE
Agent
Qwen
Shun Zou, Ziyu Ma, Yi Zou, et al.
GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives
Perception
Multimodal Representation
Qize Yu, Lianrui Fan, Boyu Chen, et al.
AGENTSWE: CAN CODING AGENTS BUILD THE AGENT YOU ACTUALLY WANT?
Code Generation
Agent
Jiahao Wang, Hongjin Qian, Yuyang Hu, et al.
VISIONWEAVE: WEAVING ELASTIC VISUAL REPRESENTATIONS AS A NATIVE CAPABILITY OF MLLMS
Multimodal
Multimodal Representation
Yuan Feng, Qize Yang, Ruizhe Chen, et al.
EmbodiedCLBench: Evaluating Continual Learning for Self-Evolving Embodied Agents
Embodied Intelligence
Agent
Jie Huang, Yanan Chen, Ruixun Liu, et al.
SOFTWAREGYM: SCALING COMPUTER-USE AGENT TRAINING WITH DIVERSE SYNTHESIZED SOFTWARE ENVIRONMENTS
Agent
LLM
Tian Jin, Wenhao Wang, Jing Kang, et al.
Reflex: Visually Grounded Reactive Humanoid Control
Robotics
Reinforcement Learning
Taoyang Jia, Weikai Huang, Linxin Song, et al.
S-Space: Exploring Spatial Workspace in Multimodal Language Models
Multimodal Representation
LLM
Zhiyuan Shi, Xiang Li, Xingzhuo Guo, et al.
DIFFUSIONART: EFFICIENT, STABLE AND SCALABLE REINFORCEMENT OF DIFFUSION MODELS
Diffusion Model
Reinforcement Learning
Zhenglin Wan, Jiayu Chen, Zhengfeiyang Zhang, et al.
MULTI-AGENT EGOCENTRIC WORLD MODEL WITH FINE-GRAINED EMBODIED INTERACTION
World Models
Video Generation
Dahyun Chung, Siyoon Jin, Hyunwook Choi, et al.
SUPERNAV: AN AGENTIC NAVIGATION SYSTEM FOR ANY TASK IN ANY SCENE
Agent
LLM
Jinkai Zhang, Jingyi Xu, Yuanhong Yu, et al.
MiMo-V2.6: Scaling Reinforcement Learning Towards Self-Improvement
Reinforcement Learning
Multimodal
Zongming Qiao, Ziyue Hua, Zirui Ou, et al.
TokenRouter: Efficient Serving System for Token-Level LLM Routing
LLM
Text Generation
Tianyu Fu, Tengxuan Liu, Ruoxi Wang, et al.
AgentGarten: Code Worlds for Evolving Agents
Agent
Reinforcement Learning
Jiawei Chi, Shangchen Miao, Zhiyuan Shi, et al.
From Traces to Agentic Worlds: Agentic Language World Models for Interactive Environment Simulation
World Models
Agent
Quanyu Long, Xiao Chen, Jianda Chen, et al.
H-JEPA: END-TO-END LEARNING OF HIERARCHICAL WORLD MODELS FOR VISUAL PLANNING
World Models
Wancong Zhang, Basile Terver, Michael Rabbat, et al.