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Papers
Daily updated cutting-edge AI research papers to help you keep up with the latest AI trends
3,317 papers
Harness-S: Learning from Sibling Harnesses for Generalizable Agent Training
Reinforcement Learning
Agent
Kangning Zhang, Wenxiang Jiao, Bowen Fang, et al.
PyRUA-DataFarm: LLM Agent as a Cost-Efficient Teleoperator for Real-Ready Robot Data
LLM
Code Generation
Kewei Zhang, Juncheng Ma, Guodong Lv, et al.
What Does Multi-Turn Reinforcement Learning Really Improve in LLM Agents?
Reinforcement Learning
Agent
Kejian Zhu, Zhuoran Jin, Shangqing Tu, et al.
FrontierPhysics: Evaluating Agents for End-to-End Physics Research
Benchmarks
Agent
Bingran You, Wenjun Ke, Ria Rosenauer, et al.
GameVerse: A Minute-Scale Gameplay Dataset for Long-Horizon Interactive World Modeling
World Models
Video Generation
Kang He, Wenshuo Peng, Chuanhao Li, et al.
From Pixels to Actions – Towards Native Vision-Language-Action Policies
Multimodal
Multimodal Representation
Weichen Fan, Haiwen Diao, Penghao Wu, et al.
Turns Matter: Advancing Streaming Video RL via Turn-Level Credit
Reinforcement Learning
Video Understanding
Shuai Dong, Kanghui Tian, Linghan Chen, et al.
PaperScorer: How Predictable Is Paper Acceptance?
Document Understanding
LLM
Sachin Konan, Jonathan Liu, Zhuang Liu
You don’t need long context
LLM
Text Generation
Peter Belcak, Saurav Muralidharan, Jindong Jiang, et al.
DREAMX: VIDEO DIFFUSION MODEL IS A UNIVERSAL LATENT ACTION LEARNER
Diffusion Model
Action Recognition
Jisoo Kim, Chaehyun Kim, Junsu Kim, et al.
Behind Video Generation: Observations and Insights on Multimodal Understanding from Kling
Video Generation
Multimodal
MoviEdit: Long-form Multi-Shot Video Editing Made Easy
Video Processing
Video Generation
Suhyeon Lee, Zhengang Li, Soo Ye Kim, et al.
Words Caught in the Heart: Simulating Person-Specific Expression for Self-Opaque Clients in Psychotherapy
LLM
Text Generation
Mengxi Xiao, Jingjing Chen, Ziyan Kuang, et al.
THINK LESS, LOCALLY: LOCAL PREFERENCE LEARNING FOR REASONING COMPRESSION
Reasoning
Preference Modeling
Muyao Yuan, Liyan Xu, Weizhan Zhang, et al.
Route Anything: A Study of Model and Policy Routing for General-Purpose AI Systems
Any-to-Any
Benchmarks
Pengfei Zhou, Yixing Ma, Hexin Wang, et al.
EmbeddingGemma 2: Unified and Eficient Multimodal Representations
Multimodal Representation
Any-to-Any
Henrique Schechter Vera, Sahil Dua, Jovan Andonov, et al.
Democratizing Robot-Use Agents: A Unified Harness with Open Models
Agent
Robotics
Jiarui Yuan, Yuxin Zuo, Xiaoyu Huang, et al.
CUA-Master: Scaling Computer-use Agents through Open-World Recursive Improvements
Agent
Multimodal
Xinlei Yu, Gen Li, Ji Zhao, et al.
Video Generation Meets Agent Harness: Agentic Video Generation, Agentic World Modeling and Recursive Self-Improvement
Video Generation
Agent
Liaoyuan Fan, Yuhao Zheng, Dongxing Mao, et al.
Advances in Agentic Computer Graphics
Agent
Code Generation
Hengyu Liu, Jihyeon Je, Ruiqi Wang, et al.
CoworkOS: Scaling Agent Coworkers for Real-world Automation
Agent
LLM
Jiajie Jin, Guanting Dong, Chengjun Pan, et al.
Wave Forcing: Towards Speed-of-Light Streaming Video Generation
Diffusion Model
Text-to-Video
Yijie Jin, Yuxuan Liu, Jiajun Xu, et al.
Physical Words: A Vocabulary for Structuring Latent Reasoning in Robot Manipulation
World Models
Multimodal Representation
Jiaming Liu, Xinghao Zhu, Yiming Zhang, et al.
Latent Reasoning in Continuous Space for Unified Multimodal Models
Any-to-Any
Text-to-Image
Byungwoo Jeon, Yoonwoo Jeong, Hyunseok Lee, et al.
HiFOR: Hierarchical Foresight with Action-Guided World Grounding for Vision-Language-Action Model
World Models
Multimodal
Rongxing Ding, Hongyu Qu, Kehong Wu, et al.
Wizard: An Agentic Game World Model
World Models
Agent
Yuzhe Wu, Zijun Lin, Yeying Jin
FrameForge: Harnessing Priors of Video Foundation Models for Unified Image Generation
Image Generation
Image-to-Image
Yijing Lin, Zhendong Mao, Mengqi Huang, et al.
Does Scaling Toward AGI Depend on What System-1 Lets System-2 Execute?
Reasoning
LLM
Qi Wang, Yun Qu, Lizhou Cai, et al.
R2Orch: Recursive Self-Improvement for Agent Orchestration via Self-Play within a Skill-Internalization Loop
Agent
Reinforcement Learning
Mingda Zhang, Yun Huang, Qiang Huang, et al.
A Broader Look into MLLM’s Retrieval Heads
Multimodal
Visual Document Retrieval
Jia Wang, Yuqing Li, Jiangnan Li, et al.