5 papers
Revisiting Greedy Decoding for Visual Question Answering: A Calibration Perspective
Boqi Chen, Xudong Liu, Yunke Ao +1
Stochastic sampling strategies are widely adopted in large language models (LLMs) to balance output coherence and diversity. These heuristics are often inherited in Multimodal LLMs…
Benchmarking the Thinking Mode of Multimodal Large Language Models in Clinical Tasks
Jindong Hong, Tianjie Chen, Lingjie Luo +10
A recent advancement in Multimodal Large Language Models (MLLMs) research is the emergence of "reasoning MLLMs" that offer explicit control over their internal thinking processes (…
Diagnosing Shoulder Disorders Using Multimodal Large Language Models and Consumer-Grade Cameras
Jindong Hong, Wencheng Zhang, Shiqin Qiao +15
Shoulder disorders, such as frozen shoulder (a.k.a., adhesive capsulitis), are common conditions affecting the health of people worldwide, and have a high incidence rate among the…
Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition
Ruiyang Hao, Haibao Yu, Jiaru Zhong +16
With the rapid advancement of autonomous driving technology, vehicle-to-everything (V2X) communication has emerged as a key enabler for extending perception range and enhancing dri…
SynapseRoute: An Auto-Route Switching Framework on Dual-State Large Language Model
Wencheng Zhang, Shiqin Qiao, Lingjie Luo +9
With the widespread adoption of large language models (LLMs) in practical applications, selecting an appropriate model requires balancing not only performance but also operational…