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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

SceneActBench: Can Agents Act on the 3D Scenes They See?

Yifei Zhao, Xiangxin Zhou, Wenhao Yang +11

Vision-language model (VLM) agents increasingly use tools to act on 3D scenes rather than only describe them. Existing 3D benchmarks score textual responses or single-object operat…

cs.AI2026

Can Current Agents Close the Discovery-to-Application Gap? A Case Study in Minecraft

Zhou Ziheng, Huacong Tang, Jinyuan Zhang +9

Discovering causal regularities and applying them to build functional systems--the discovery-to-application loop--is a hallmark of general intelligence, yet evaluating this capacit…

cs.AI2026

Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies

Guangyu Zhao, Kewei Lian, Haoxuan Ru +8

Goal-conditioned policies enable decision-making models to execute diverse behaviors based on specified goals, yet their downstream performance is often highly sensitive to the cho…

cs.AI2025

MCU: An Evaluation Framework for Open-Ended Game Agents

Xinyue Zheng, Haowei Lin, Kaichen He +3

Developing AI agents capable of interacting with open-world environments to solve diverse tasks is a compelling challenge. However, evaluating such open-ended agents remains diffic…

cs.AI2024

GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agents

Shaofei Cai, Bowei Zhang, Zihao Wang +4

Developing agents that can follow multimodal instructions remains a fundamental challenge in robotics and AI. Although large-scale pre-training on unlabeled datasets (no language i…