Search Results for author:
Found 4 papers, 2 papers with code
Laying the Foundation First? Investigating the Generalization from Atomic Skills to Complex Reasoning Tasks
In our experiments, we find that atomic skills can not spontaneously generalize to compositional tasks.
Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception
Hence, we present a framework to enhance the quantitative reasoning ability of language models based on dimension perception.
Can Large Language Models Understand Real-World Complex Instructions?
To bridge this gap, we propose CELLO, a benchmark for evaluating LLMs' ability to follow complex instructions systematically.
HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation
Similes play an imperative role in creative writing such as story and dialogue generation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
