collaborators

14 papers

cs.CY2026

A Survey of Large Language Models for Perception and Measurement of Human Psychology

Yudong Li, Xiaoyi Chen, Jiawei Cai +4

Against the backdrop of the rapid advancement of Large Language Models (LLMs), their application in the field of psychology has garnered significant academic attention. A central i…

cs.CV2026

X-PCR: A Benchmark for Cross-modality Progressive Clinical Reasoning in Ophthalmic Diagnosis

Gui Wang, Zehao Zhong, YongSong Zhou +6

Despite significant progress in Multi-modal Large Language Models (MLLMs), their clinical reasoning capacity for multi-modal diagnosis remains largely unexamined. Current benchmark…

cs.CV2026

SurgCoT: Advancing Spatiotemporal Reasoning in Surgical Videos through a Chain-of-Thought Benchmark

Gui Wang, YongSong Zhou, Kaijun Deng +4

Fine-grained spatiotemporal reasoning on surgical videos is critical, yet the capabilities of Multi-modal Large Language Models (MLLMs) in this domain remain largely unexplored. To…

cs.AI2026

DIRCR: Dual-Inference Rule-Contrastive Reasoning for Solving RAVENs

Jiachen Zhang, Chengtai Li, Jianfeng Ren +3

Abstract visual reasoning remains challenging as existing methods often prioritize either global context or local row-wise relations, failing to integrate both, and lack intermedia…

cs.CL2026

KoCo: Conditioning Language Model Pre-training on Knowledge Coordinates

Yudong Li, Jiawei Cai, Linlin Shen

Standard Large Language Model (LLM) pre-training typically treats corpora as flattened token sequences, often overlooking the real-world context that humans naturally rely on to co…

cs.CL2026

RedNote-Vibe: A Dataset for Capturing Temporal Dynamics of AI-Generated Text in Lifestyle Social Media

Yudong Li, Yufei Sun, Peiru Yang +7

We introduce RedNote-Vibe, a dataset spanning five years (pre-LLM to July 2025) sourced from lifestyle platform RedNote (Xiaohongshu), capturing the temporal dynamics of content cr…