Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective
Paper • 2604.14025 • Published • 11 •
2
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Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective commentedon a paper about 8 hours ago
TIP: Token Importance in On-Policy DistillationOrganizations
Librarian Bot: Add language metadata for dataset
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papers about 8 hours ago
TIP: Token Importance in On-Policy Distillation
Paper • 2604.14084 • Published • 10 •
2
TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration
Paper • 2604.14116 • Published • 10 •
2
InfiniteScienceGym: An Unbounded, Procedurally-Generated Benchmark for Scientific Analysis
Paper • 2604.13201 • Published • 1 •
1
Seedance 2.0: Advancing Video Generation for World Complexity
Paper • 2604.14148 • Published • 127 •
6
Target Policy Optimization
Paper • 2604.06159 • Published • 19 •
2
Exploration and Exploitation Errors Are Measurable for Language Model Agents
Paper • 2604.13151 • Published • 22 •
3
Narrative-Driven Paper-to-Slide Generation via ArcDeck
Paper • 2604.11969 • Published • 5 •
2
ReconPhys: Reconstruct Appearance and Physical Attributes from Single Video
Paper • 2604.07882 • Published • 8 •
2
Do AI Coding Agents Log Like Humans? An Empirical Study
Paper • 2604.09409 • Published • 2 •
2
Anthropogenic Regional Adaptation in Multimodal Vision-Language Model
Paper • 2604.11490 • Published • 6 •
2
UI-Copilot: Advancing Long-Horizon GUI Automation via Tool-Integrated Policy Optimization
Paper • 2604.13822 • Published • 5 •
2
Free Geometry: Refining 3D Reconstruction from Longer Versions of Itself
Paper • 2604.14048 • Published • 14 •
2
SpatialEvo: Self-Evolving Spatial Intelligence via Deterministic Geometric Environments
Paper • 2604.14144 • Published • 60 •
1
Self-Sovereign Agent
Paper • 2604.08551 • Published • 4 •
2
SemaClaw: A Step Towards General-Purpose Personal AI Agents through Harness Engineering
Paper • 2604.11548 • Published • 16 •
2
Mobile GUI Agents under Real-world Threats: Are We There Yet?
Paper • 2507.04227 • Published • 2 •
2
RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time
Paper • 2604.11626 • Published • 98 •
3
Self-Distillation Zero: Self-Revision Turns Binary Rewards into Dense Supervision
Paper • 2604.12002 • Published • 6 •
3