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

Rufus-Air: An Open LLM Post-Training Recipe

Agent-Editing World Model: Rethinking World Modeling for LLM Agents






























OMNIECHO: AUDIO-VISUAL SPATIAL UNDERSTANDING FOR OMNI-MODAL EMBODIED AGENTS
WanPE: Towards Cinematic Prompt Enhancement for Modern Text-to-Video Generation
Your Transformer Can Hold Two Thoughts at Once: Evidence of Linear Superposition in LLMs
Training Object Permanence in World Models
Just-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents
REWARDVERSE: RUBRIC-GUIDED POLICY OPTIMIZATION FOR VIDEO REWARD MODELING
SPEAKERMEM-R1: SPEAKER-CENTERED DUAL-TRACK MEMORY FOR MULTI-PARTY DIALOGUE
The Past Frames the Future: Memory for Autoregressive Video Generation — A Survey
Spatial-Interactor: Learning Spatial Reasoning through Interaction with the Observable Physical World
HappyWorld-Bench
Circuit hypernetworks for quantum-augmented diffusion language models
Bellman Policy Optimization
All-in-One Multilingual Scene Text Recognition with Script-aware Mixture-of-Experts
GAE: LEARNING A GEOMETRY-NATIVE LATENT SPACE FOR 3D-CONSISTENT WORLD GENERATION
RULER: Instance-aware Rubric Rewards for SVG Generation
The Tasteful Agent: Measuring and Improving Taste in Long-Horizon Tasks
OmniEdu: Open Foundation Models for Learning and Teaching
Document Retrieval-Aware Chunking (D-RAC): Universal Retrieval-Aware Ingestion of Enterprise Documents via PDF Normalization and Multimodal Markdown Conversion
GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay
TRANSFERRING THE INTELLIGENCE OF VLMS TO ROBOTIC CONTROL
WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory
RRSI: Regularized Recursive Self-Improvement of Agent Harnesses
OMNIVCHAT: SYNTHESIZING, BENCHMARKING, AND TRAINING FOR NATIVE AUDIO-VISUAL DIALOGUE
RECREATIONWORLD: Scalable and Verifiable Environments for Hybrid Computer-Use Agents
EvoOntology: A Self-Evolving Ontology Layer for Data Agents
CodeMidas: Scaling Agentic Coding RL Environments from Code Itself
Grounded Skill Synthesis from Code at Scale for Agentic Intelligence
IntBMoE: Integrating Block-Level Conditioning into Expert Composition for Full-Participation Mixture-of-Experts
JEPA-Anything: Learning Predictive Models across Different Worlds
An Empirical Study of Harness Design for Coding Agents