collaborators

5 papers

cs.SE2026

SWE-Mutation: Can LLMs Generate Reliable Test Suites in Software Engineering?

Yuxuan Sun, Yuze Zhao, Yufeng Wang +6

Evaluating software engineering capabilities has become a core component of modern large language models (LLMs); however, the key bottleneck hindering further scaling lies not in t…

cs.AI2026

MED-COPILOT: A Medical Assistant Powered by GraphRAG and Similar Patient Case Retrieval

Shuheng Chen, Namratha Patil, Haonan Pan +4

Clinical decision-making requires synthesizing heterogeneous evidence, including patient histories, clinical guidelines, and trajectories of comparable cases. While large language…

cs.CV2026

EAGLE: Elevating Geometric Reasoning through LLM-empowered Visual Instruction Tuning

Zhihao Li, Yao Du, Yang Liu +6

Multi-modal Large Language Models (MLLMs) have advanced greatly in general tasks. However, they still face challenges in geometric reasoning, a task that requires synergistic integ…

cs.CL2025

Can LLMs Grasp Implicit Cultural Values? Benchmarking LLMs' Cultural Intelligence with CQ-Bench

Ziyi Liu, Priyanka Dey, Jen-tse Huang +6

Cultural Intelligence (CQ) refers to the ability to understand unfamiliar cultural contexts, a crucial skill for large language models (LLMs) to effectively engage with globally di…

cs.CV2025

The Role of Visual Modality in Multimodal Mathematical Reasoning: Challenges and Insights

Yufang Liu, Yao Du, Tao Ji +6

Recent research has increasingly focused on multimodal mathematical reasoning, particularly emphasizing the creation of relevant datasets and benchmarks. Despite this, the role of…