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Papers
Daily updated cutting-edge AI research papers to help you keep up with the latest AI trends
papers

Harness-S: Learning from Sibling Harnesses for Generalizable Agent Training

PyRUA-DataFarm: LLM Agent as a Cost-Efficient Teleoperator for Real-Ready Robot Data




























What Does Multi-Turn Reinforcement Learning Really Improve in LLM Agents?
FrontierPhysics: Evaluating Agents for End-to-End Physics Research
GameVerse: A Minute-Scale Gameplay Dataset for Long-Horizon Interactive World Modeling
From Pixels to Actions – Towards Native Vision-Language-Action Policies
Turns Matter: Advancing Streaming Video RL via Turn-Level Credit
PaperScorer: How Predictable Is Paper Acceptance?
You don’t need long context
DREAMX: VIDEO DIFFUSION MODEL IS A UNIVERSAL LATENT ACTION LEARNER
Behind Video Generation: Observations and Insights on Multimodal Understanding from Kling
MoviEdit: Long-form Multi-Shot Video Editing Made Easy
Words Caught in the Heart: Simulating Person-Specific Expression for Self-Opaque Clients in Psychotherapy
THINK LESS, LOCALLY: LOCAL PREFERENCE LEARNING FOR REASONING COMPRESSION
Route Anything: A Study of Model and Policy Routing for General-Purpose AI Systems
EmbeddingGemma 2: Unified and Eficient Multimodal Representations
Democratizing Robot-Use Agents: A Unified Harness with Open Models
CUA-Master: Scaling Computer-use Agents through Open-World Recursive Improvements
Video Generation Meets Agent Harness: Agentic Video Generation, Agentic World Modeling and Recursive Self-Improvement
Advances in Agentic Computer Graphics
CoworkOS: Scaling Agent Coworkers for Real-world Automation
Wave Forcing: Towards Speed-of-Light Streaming Video Generation
Physical Words: A Vocabulary for Structuring Latent Reasoning in Robot Manipulation
Latent Reasoning in Continuous Space for Unified Multimodal Models
HiFOR: Hierarchical Foresight with Action-Guided World Grounding for Vision-Language-Action Model
Wizard: An Agentic Game World Model
FrameForge: Harnessing Priors of Video Foundation Models for Unified Image Generation
Does Scaling Toward AGI Depend on What System-1 Lets System-2 Execute?
R2Orch: Recursive Self-Improvement for Agent Orchestration via Self-Play within a Skill-Internalization Loop
A Broader Look into MLLM’s Retrieval Heads