RL-Index: Reinforcement Learning for Retrieval Index Reasoning
Retrieving external knowledge is essential for solving real-world tasks, yet it remains challenging when the relation...
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Retrieving external knowledge is essential for solving real-world tasks, yet it remains challenging when the relation...
Real-world photography requires capture-time guidance for both camera framing and subject pose. Yet existing aestheti...
Synthesizing a novel-view video from a monocular reference video along a target camera trajectory requires both geome...
Tool Calling and Structured Output are two core capabilities of modern Agent systems, yet their interaction under joi...
Cross-Chart Retrieval-Augmented Generation (RAG) is critical for complex multi-modal analytical tasks in scientific, ...
Large language models are increasingly deployed as agents that reason over documents rather than answer from parametr...
Modern text-to-image models excel in visual fidelity and prompt adherence. However, this strict adherence comes at th...
Dynamic 3D Gaussian splatting faces a fundamental tension between motion consistency and visual fidelity. Deformation...
Vision-language-action (VLA) models can learn manipulation skills from demonstrations, but their capabilities are bou...
What is an agent? What constitutes agency? With the rise of Large Language Model (LLM) systems marketed as ``coding a...
Scaling reinforcement learning for visual mathematical reasoning requires more than generating harder questions: as d...
Long-term memory promises LLM agents that grow more capable across sessions, maintaining an accurate, evolving unders...