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From the 1 of 9 linked papers with an AI index.

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20242026
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cs.AI2026

VibeWorlding: Can Multimodal Agents Construct 3D Open Worlds End-to-End?

Yansong Ning, Jingwen Ye, Zhongkai Wu +5

Constructing an interactive 3D open world from a user query is important. However, existing methods are primarily evaluated on idealized, simple queries, making it difficult to sys…

cs.AI2026

DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents

Yansong Ning, Rui Liu, Jun Wang +6

The paper introduces DeepTravel, an end‑to‑end reinforcement‑learning framework that trains autonomous travel‑planning agents to plan itineraries, invoke external tools, and self‑c…

cs.AI2026

HRBench: Benchmarking and Understanding Thinking-Mode Switch Strategies in Hybrid-Reasoning LLMs

Yansong Ning, Mianpeng Liu, Jingwen Ye +2

Hybrid-reasoning large language models (LLMs) expose explicit controls over reasoning effort, allowing users or systems to trade off answer quality against inference cost. However,…

cs.AI2026

Agent-Omit: Adaptive Context Omission for Efficient LLM Agents

Yansong Ning, Jun Fang, Naiqiang Tan +1

Managing agent context (e.g., thought and observation) during multi-turn agent-environment interactions is an emerging strategy to improve agent efficiency. However, existing studi…

cs.AI2024

UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction

Yansong Ning, Hao Liu

Urban knowledge graph has recently worked as an emerging building block to distill critical knowledge from multi-sourced urban data for diverse urban application scenarios. Despite…