2 papers
cs.CV2026
TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation
Han Gong, Zhen Zhou, Yunyang Shi +4
Large language models (LLMs) and multimodal large models (MLLMs) are increasingly used for transportation tasks such as regulation question answering, traffic management support, e…
cs.LG2026
Silent Inconsistency in Data-Parallel Full Fine-Tuning: Diagnosing Worker-Level Optimization Misalignment
Hong Li, Zhen Zhou, Honggang Zhang +4
Data-parallel (DP) training with synchronous all-reduce is a dominant paradigm for full-parameter fine-tuning of large language models (LLMs). While parameter synchronization guara…