3 papers
cs.CL2025
STED and Consistency Scoring: A Framework for Evaluating LLM Structured Output Reliability
Guanghui Wang, Jinze Yu, Xing Zhang +5
Large Language Models (LLMs) are increasingly deployed for structured data generation, yet output consistency remains critical for production applications. We introduce a comprehen…
cs.CL2025
Scaling Context, Not Parameters: Training a Compact 7B Language Model for Efficient Long-Context Processing
Chen Wu, Yin Song
We present MegaBeam-Mistral-7B, a language model that supports 512K-token context length. Our work addresses practical limitations in long-context training, supporting real-world t…
cs.RO2024
PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving
Xuewen Luo, Fan Ding, Yinsheng Song +2
There is growing interest in leveraging the capabilities of robust Multi-Modal Large Language Models (MLLMs) directly within autonomous driving contexts. However, the high costs an…