collaborators

5 papers

cs.AI2026

ComBodied Agents: a New Paradigm of Human-Centric Agentic AI

Qianggang Ding, Xingyao Wang, Rui Feng +20

After an older adult misses a medication dose, a software agent can send another reminder and an embodied agent can bring the medication. Yet neither explains whether the person fo…

cs.CV2026

Advantage-Guided Gate: Reshaping Open-Ended Reasoning for Vision-Based Spatial Intelligence

Ling Lin, Yang Bai, Congcong Zhu +6

Multimodal large language models (MLLMs) have demonstrated significant potential in complex spatial scene understanding and reasoning tasks. However, their open-ended reasoning pro…

cs.CV2026

OODBench: Out-of-Distribution Benchmark for Large Vision-Language Models

Ling Lin, Yang Bai, Heng Su +5

Existing Visual-Language Models (VLMs) have achieved significant progress by being trained on massive-scale datasets, typically under the assumption that data are independent and i…

cs.CV2025

Uncertainty-aware Medical Diagnostic Phrase Identification and Grounding

Ke Zou, Yang Bai, Bo Liu +9

Medical phrase grounding is crucial for identifying relevant regions in medical images based on phrase queries, facilitating accurate image analysis and diagnosis. However, current…

cs.CL2025

EH-Benchmark Ophthalmic Hallucination Benchmark and Agent-Driven Top-Down Traceable Reasoning Workflow

Xiaoyu Pan, Yang Bai, Ke Zou +5

Medical Large Language Models (MLLMs) play a crucial role in ophthalmic diagnosis, holding significant potential to address vision-threatening diseases. However, their accuracy is…