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cs.CL2025
From Thinking to Output: Chain-of-Thought and Text Generation Characteristics in Reasoning Language Models
Junhao Liu, Zhenhao Xu, Yuxin Fang +3
Recently, there have been notable advancements in large language models (LLMs), demonstrating their growing abilities in complex reasoning. However, existing research largely overl…
cs.CL2025
RPGBENCH: Evaluating Large Language Models as Role-Playing Game Engines
Pengfei Yu, Dongming Shen, Silin Meng +8
We present RPGBench, the first benchmark designed to evaluate large language models (LLMs) as text-based role-playing game (RPG) engines. RPGBench comprises two core tasks: Game Cr…
cs.CV2025★ 1 cited
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization
Yongle Huang, Haodong Chen, Zhenbang Xu +3
Human action understanding is crucial for the advancement of multimodal systems. While recent developments, driven by powerful large language models (LLMs), aim to be general enoug…