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upvoted a paper 26 days ago

Can AI Agents Learn Their Way to the Top? Evaluating Heuristic Learning in a Long-Running Game Agent Competition

Paper • 2610.12341 • Published Oct 8 • 39

authored 8 papers about 1 month ago

AlignBench: Benchmarking Chinese Alignment of Large Language Models

Paper • 2311.18743 • Published Nov 30, 2023 • 1

UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding

Paper • 2506.23219 • Published Jun 29, 2025 • 7

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning

Paper • 2507.19586 • Published Jul 25, 2025

RAISECity: A Multimodal Agent Framework for Reality-Aligned 3D World Generation at City-Scale

Paper • 2511.18005 • Published Nov 22, 2025 • 1

SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes

Paper • 2605.31148 • Published May 29 • 4

A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science

Paper • 2504.09848 • Published Apr 14, 2025 • 1

CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation

Paper • 2311.18702 • Published Nov 30, 2023

Can AI Agents Learn Their Way to the Top? Evaluating Heuristic Learning in a Long-Running Game Agent Competition

Paper • 2610.12341 • Published Oct 8 • 39