5 citations · 10 across the 8 of their papers we have counts for
5 papers · 1 filter
Why Did Apple Fall: Evaluating Curiosity in Large Language Models
Haoyu Wang, Sihang Jiang, Yuyan Chen +4
Curiosity serves as a pivotal conduit for human beings to discover and learn new knowledge. Recent advancements of large language models (LLMs) in natural language processing have…
Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
Chengyu Du, Jinyi Han, Yizhou Ying +9
Recent advancements in large language models (LLMs) have demonstrated that progressive refinement, rather than providing a single answer, results in more accurate and thoughtful ou…
Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
Yuyan Chen, Tianhao Yu, Yueze Li +4
The evaluation of the problem-solving capability under incomplete information scenarios of Large Language Models (LLMs) is increasingly important, encompassing capabilities such as…
EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models
Yuyan Chen, Hao Wang, Songzhou Yan +4
Emotional intelligence in large language models (LLMs) is of great importance in Natural Language Processing. However, the previous research mainly focus on basic sentiment analysi…
Recent Advancement of Emotion Cognition in Large Language Models
Yuyan Chen, Yanghua Xiao
Emotion cognition in large language models (LLMs) is crucial for enhancing performance across various applications, such as social media, human-computer interaction, and mental hea…