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cs.AI2026

GeoForge: Non-Parametric Self-Evolving Agents for Earth-Observation Reasoning

Xin Xiao, Jiang Zhong, Junnan Zhu +4

Earth observation (EO) agents construct scientifically valid tool workflows and ground their conclusions in current geospatial evidence. This is challenging because EO workflows ar…

cs.AI2026

MentalHospital: A Virtual Environment for Evaluating Psychiatric Clinical Encounters

Yuming Yang, Xiao Sun, Yuanwei Zou +6

Large language models (LLMs) have shown strong performance on isolated psychiatric tasks, including dialogue, diagnosis, and treatment planning, yet existing benchmarks rarely simu…

cs.AI2026

Lung-R1: A Knowledge Graph-Guided LLM for Pulmonary Diagnostic Reasoning

Haoyang Zeng, Yuanxi Fu, Rongzhen Li +11

Diagnosing pulmonary diseases requires integrating heterogeneous evidence amid phenotypic variability and cross-disease overlap. Although large language models (LLMs) have shown pr…

cs.AI2026

MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosis

Xiao Sun, Yuming Yang, Junnan Zhu +3

Mental health disorders represent a burgeoning global public health challenge. While Large Language Models (LLMs) have demonstrated potential in psychiatric assessment, their clini…

cs.AI2025

Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation Framework

Yuming Yang, Jiang Zhong, Li Jin +7

Multimodal Retrieval-Augmented Generation (MRAG) enhances reasoning capabilities by integrating external knowledge. However, existing benchmarks primarily focus on simple image-tex…