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Understand new AI research with readable explanations and links to the original papers.
What the paper is about Large language model agents are increasingly envisioned as always-on personal assistants with access to anything relevant in the user...
What the paper is about Complex Query Answering (CQA) is a fundamental knowledge representation and reasoning task over incomplete knowledge graphs (KGs).
What the paper is about We present MobileGym, a browser-hosted, lightweight, fully controllable environment for everyday mobile use, targeting interaction fi...
What the paper is about This paper studies the next major bottleneck in agentic AI as system scaling, not only model scaling: the design of auditable, persis...
What the paper is about We introduce CausaLab, a scalable environment for evaluating interactive causal discovery by LLM agents.
What the paper is about Deep research agents face vast, interdependent, and pervasively uncertain information.
What the paper is about Urban representation learning encodes complex urban environments into general-purpose embeddings for diverse downstream tasks and eme...
What the paper is about AI coding scaffolds like Claude Code and Codex use \textit{retrying}: blocking actions flagged as risky and continuing the trajectory...
What the paper is about Graph fraud detection has long depended on Graph Neural Networks (GNNs) to propagate and aggregate information across relational data...
Vision-Language Models (VLMs) are increasingly used to navigate environments and interpret spatial scenes, tasks that require them to output precise numbers...
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