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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.CL2023★ 4 cited
CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models
Jinfeng Zhou, Zhuang Chen, Dazhen Wan +14
In this paper, we present CharacterGLM, a series of models built upon ChatGLM, with model sizes ranging from 6B to 66B parameters. Our CharacterGLM is designed for generating Chara…