Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models
zhenyuan guo · Tong Chen · Wenlong Meng · Chen GONG · Xin Yu · Chengkun Wei · Wenzhi CHEN
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zhenyuan guo · Tong Chen · Wenlong Meng · Chen GONG · Xin Yu · Chengkun Wei · Wenzhi CHEN
Wenlong Meng · Chen GONG · Terry Yue Zhuo · Fan Zhang · Kecen Li · Zheng Liu · Zhou Yang · Chengkun Wei · Wenzhi CHEN
Zheng Liu · Chen GONG · Terry Yue Zhuo · Zhou Yang · Kecen Li · Wenlong Meng · Xinwen Hou · Yu Liu · Xiaochen Li
Jikun Wan · Chen GONG · Guohong Fu
Multimodal emotion cause analysis in conversation aims to identify the causes of emotions by leveraging multimodal information. Existing studies mainly formulate this problem as either utterance-level emotion cause extraction, which provides clear cause localization but limited explanation, or mu...
Zhichao Sheng · Shilin Zhou · Chen GONG · Zhenghua Li
Large Audio Language Models (LALMs) employing the Chain-of-Thought paradigm have demonstrated remarkable reasoning capabilities. Though different problems naturally require varying depths of reasoning, existing methods often determine whether to perform reasoning, lacking fine-grained mechanisms...